Effective learning = Affective learning

When we think of learning, we often focus on acquiring knowledge and developing skills. But there’s a third, often overlooked dimension, the affective domain. These are our attitudes, motivation, values, and emotions. It’s easy to view them as somehow less important and yet they are what transform knowledge and skill into true expertise.

Imagine two students sitting in a maths class, both are taught about addition (knowledge). They are then asked to add several numbers together, which they do successfully (skill). But one of them believes they are not very good at maths and that the subject is boring. The other likes the subject and is looking forward to the next class. It’s not hard to figure out who will learn more, not because they were in some way smarter but because of the difference in their attitude, levels of motivation and beliefs.

I’m trying something different this month – a two minute video explainer of the blog, enjoy

How to play the violin
One way to understand how knowledge, skills and the emotional side of learning fit together is to consider how you might learn to play the violin.

First you need to be able to read music, this is the knowledge phase. It’s not easy of course, and in some ways may feel a little abstract and lacking in purpose. Next there is the physical skill of being able to play the violin. Reading music is a prerequisite but its practice and repetition that will help you improve. And lastly, you pick up the violin and play a piece of music, this is when the affective domain becomes important. How confident are you there will be no mistakes, do you feel sad when playing, what emotion are you trying to pass onto your audience. To deliver a great performance will require the combination of knowledge, skills, and emotions, interwoven so closely they cannot be separated.

The research – There is a large body of evidence supporting the impact of emotions, attitudes, and beliefs on learning. In 2014 Reinhard Pekrun published Emotions and Learning, in it he demonstrated that positive emotions like enjoyment and pride enhance learning by increasing motivation, engagement, and cognitive flexibility. In contrast, negative emotions such as boredom and anxiety can suppress learning.  Carol Dweck’s work on growth mindset (2006) further reinforces this idea. She showed that learners who believe effort leads to improvement are more likely to persist through challenges. These beliefs rooted in the affective domain shape how students respond to setbacks and how resilient they become in the face of difficulty.

Another Bloom’s taxonomy!
Many will have heard about Blooms taxonomy but what you might not know is that there are three of them. The first is Cognitive, the Bloom most of us have seen before (The pyramid), the second Psychomotor domain, that looks at physical skills, and lastly the Affective domain that defines behaviours that correspond to attitudes and values.

This affective domain has five levels:

  • Receiving – The willingness to attend or listen, giving your attention  
  • Responding – Actively participating, effectively engaging
  • Valuing – Attaching worth to an idea, making it personal, forming the belief
  • Organisation – Integrating the values into your belief system, embedding the belief
  • Characterisation – The learning becomes part of your identity

Why it works – Bloom sets out the hierarchy of development but the reasons our brains respond and change are, firstly emotion directs attention and strengthen memory. Our brains evolved to prioritise emotionally charged information. Secondly, positive feelings boost motivation. When learners feel valued and capable, dopamine release reinforces effort and persistence. And lastly supportive environments reduce cognitive overload, freeing up working memory for reasoning and problem-solving

What does this all mean?
Understanding that there is a third aspect of learning is important, if not educators will spend disproportionate amounts of time on knowledge and skills, which of course is often the case! When in fact they should be thinking about how to use affective techniques to deepen learning. For students it gives an insight into the human side of learning, you are not ChatGPT able to simply scan content and recall it whenever needed, you are a human being who needs to feel, connect, and value the material for it to stick. That emotional and motivational component is the fuel you need for long-term mastery. Simply knowing that can make a big difference.

Want to learn more – Listen to Nick Shackleton-Jones talking with John Helmer about affective learning, and a lot more.

Sticky – The Science of Storytelling

Long before writing, and even “classrooms,” people shared knowledge through the telling of stories. These stories conveyed essential lessons in survival and reflected the social norms of their time, handed down through generations.

To fulfil their purpose, they had to be memorable. What remains unclear is, did the story evolve to fit the brain’s natural ability to remember or did stories in some way shape our brains to make them easier to recall – a classic chicken-and-egg dilemma.

Regardless, it could be argued that stories were our first educational technology, influencing culture, guiding decisions, and ensuring knowledge was not lost.

If you don’t have time to read this month’s blog – listen to my AI alter ego summarise the key points.

Today, when we think of stories, we often associate them with novels, films, animations and more recently podcasts. At its core, they are simply a structured way of sharing events and information, with most following a familiar pattern. They begin by setting the scene, move into a middle phase where the story unfolds and end with some form of resolution that provides clarity or closure. This structure helps us make sense of experiences, maintain attention, communicate ideas, evoke emotions, and connect with others in meaningful ways. All of which help with recall.

They are also incredibly persuasive, and can become a vehicle for knowledge transfer, simply saying, “let’s take a moment, relax, I want to tell you a story” changes the mood in the room and opens the mind for a new experience.

If you’re still unsure about their power, Yuval Noah Harari provides a compelling example. He explains that money holds no inherent value, a banknote is simply paper, and digital currency just data. What makes money meaningful is the collective belief in its worth. This shared understanding allows it to function as a medium of exchange for goods, services, and influence.

He goes on to say….

Why are stories sticky?
But what is happening in the brain when you hear a story or read one for yourself? Why do stories stay with us long after we’ve heard them, what makes them stick?

Cognitive rapport – When someone tells a story, something remarkable happens in the brain. Instead of just processing words, the listener’s brain begins to light up in multiple areas all at once. Stories create what researchers call neural coupling, the listener’s brain patterns start to mirror the storyteller’s, helping ideas flow more smoothly and making them easier to understand (Stephens et al., 2010).

Emotional – Importantly, stories also stir emotion and when emotions are triggered, the amygdala and hippocampus work together to strengthen memory (Article McGaugh, 2013). In one test, a neutral learning event was given an emotional focus. Subjects were asked to memorise a list of words, a non-emotional task. They were then exposed to a brief, intense emotional experience e.g. Putting their arms into icy water (Cold Pressor Stress Test), which released stress hormones, epinephrine, and cortisol, telling the brain it is an important event. When tested weeks later, the individuals had forgotten the cold-water experience, but remembered the list of words!

Structured – Stories give knowledge a shape and structure. A beginning, a challenge, and a resolution acting like mental scaffolding, allowing learners to slot new information into place. Structure also reduces cognitive load, (John Sweller 1988), and help create schemas, which are interconnected mental chunks of knowledge that are stored more easily in long term memory.

Engaging – And lastly, stories build a human connection, helping creat greater levels of engagement. Neuroscientist Paul J. Zak (2015) discovered that compelling narratives those with a strong dramatic storyline trigger the release of oxytocin, the neurochemical responsible for trust and empathy. In a learning context, this surge of empathy makes you more receptive to the message and strongly motivates, helping internalise the information and transforming simple facts into knowledge.

A word of caution – seductive details
However not all stories help us learn. The danger is that they include fascinating but irrelevant information known as “seductive details” (Harp & Mayer, 1998). This results in cognitive overload, causing the brain to waste resources processing the more interesting information at the expense of core principles. It can also break down that strong mental scaffolding, misdirecting the brain, to build a new organisational framework around the wrong idea. To avoid this, the detail in your narrative must directly support the learning objective, ensure the story integrates the facts, rather than just decorating them.

The final chapter
For educators, storytelling is not just a “nice extra” it’s a valuable tool and a natural way to help people learn. A well-told story draws attention, lowers resistance, and creates the sense that what follows is worth holding on to. Learners don’t just hear the information, they experience it, making knowledge far more memorable.
For learners, resist the urge to dismiss the story as a diversion from the important stuff, and instead listen with curiosity. They work on the mind in subtle ways connecting ideas, evoking emotions, and helping you see meaning, long after the classrrom door has closed. In this state, your brain does much of the hard work for you.

Want to know more?

Human superpowers – Creative, Analytical and Critical thinking

Are you sure Gen AI doesn’t make mistakes Mr Spock? Because this just “feels” wrong to me.

Back in July 2022, I wrote about the importance of critical thinking, a skill long considered essential in education, leadership, and the workplace.

But that was before Gen AI arrived in the November, bringing with it the ability to answer almost any question within seconds. Its presence prompted reflection on the nature of learning, how education might change and what role humans should now play, if any.

If you don’t have time to read this month’s blog – listen to my AI alter ego summarise the key points.

But all is not lost we still have one last card to play, our ability to think and feel, okay maybe that’s two cards. Thinking is hopefully what you are doing whilst reading this blog, neurons will be firing as you reflect, analyse and question what is being said. It’s something we do in between day dreaming, sleeping and unconscious behaviours such as cleaning our teeth.

Thinking is however a little more nuanced, and there are many different types, for example you can think creatively, analytically, or critically. Whichever mode you engage in, there’s another essential human attribute that quietly shapes the process…. our emotions. These are the subjective experiences rooted in our limbic system that help us interpret information and as such see the world. Together these are our superpowers offering something AI can’t replicate, not yet at least!

An Artist, Pathologist and Judge walk into a bar
Critical thinking, creative thinking, and analytical thinking are often grouped under the umbrella of “higher-order cognitive skills,” but each one is different, playing a role in how we process, evaluate, and generate ideas.

  • Critical thinking is fundamentally about evaluation, it involves questioning assumptions, weighing evidence, and forming reasoned judgments. It’s the internal referee that asks, “Does this make sense? Is it credible? What are the implications?”
  • Meanwhile, analytical thinking breaks down complexity into more manageable components, identifying patterns, and applying logic so that we can better understand relationships.
  • And creative thinking is generative. It thrives on ambiguity, imagination, and novelty. Where critical thinking narrows and refines, creative thinking expands and explores. It’s the spark that asks, “What if? Why not? Could we do this differently?”

Humans are emotional – Far from being a distraction, emotions actively shape how we think, judge, and create. In creative thinking, emotion is the spark that fuels imagination and unlocks divergent ideas. In analytical thinking, emotion plays a subtler role influencing how we interpret data, what patterns we notice, and our levels of motivation.  Critical thinking, meanwhile, relies on emotion to provide an ethical compass and improve our self-awareness.

Learning to be a better thinker
Critical, creative, and analytical thinking aren’t fixed traits, they’re learnable skills. It’s tempting to believe they can only be acquired through the slow drip of wisdom from those who have had a lifetime of experience. The truth is, with good instruction, these skills can be learned well enough for any novice to get started. At first the beginner may simply replicate what they have been taught but with practice and reflection, they begin to refine, adapt, and eventually think for themselves.

By way of an example, this is how you might start to learn to think more critically.

  1. Start with knowledge – Critical thinking is the analysis of available facts, evidence, observations, and arguments to form a judgement.
  2. Use a framework
    • Formulate the question – what problem(s) are you trying to solve?
    • Gather information – what do you need to know more about?
    • Analyse and evaluate – ask challenging questions, consider implications, and prioritise.
    • Reach a conclusion – form an opinion, and reflect.
  3. Bring in Tools – These can provide ideas or change perspective, for example Edward de Bono’s six thinking hats.
  4. Apply by practicing with real world problems. This is largely experiential, and requires continual reflection and looping back to check you have asked the right question, gathered enough information, and correctly prioritised.

The real challenge and deeper learning take place in the application phase.  By working in groups, your arguments may well be questioned and potentially exposed by the use of Socratic type questions and differing views.  Your only defence is to start thinking about what others might say in advance. Over time like any other skill, it can begin to feel more like an instinct, requiring less conscious effort, simply popping into your mind when most needed.

To boldly go
Generative AI may offer logic, precision, and even flashes of creativity but it does not feel the weight of a decision, nor wrestle with the moral ambiguity that defines human experience. It is Spock without Kirk, brilliant, efficient, and deeply insightful, yet missing the emotional compass that gives judgment its humanity. True thinking is not just analysis, its empathy, intuition, and the courage to act without certainty. AI can advise, assist, and illuminate, but it cannot replace the uniquely human interplay of reason and emotion. Like Kirk and Spock, the future belongs not to one or the other, but to the partnership. Or at least I hope so…..

I will leave the last word to Dr McCoy.

Measuring success – “Authentic” Assessment

There is a saying often attributed to Peter Drucker – “what gets measured gets achieved.” I think the quote is “gets done” but that always feels a little clumsy. Although it’s easy to argue that the statement is crude and simplistic, it has a real-world truth.

Such is the inherent challenge with exams. Once a syllabus is written and a pass mark set, the students’ goal often shifts from trying to learn the subject to simply figuring out what needs to be done in order to pass. This, in turn, creates a ripple effect for teachers, especially if their performance is measured by pass rates. They will inevitably adapt their teaching methods to align with that target.

If you dont have time to read this months blog – listen to my AI alter ego summarise the key points.

Having spent over 30 years helping accountancy students pass high-stakes exams, I’m not personally going to criticise this (exam driven) approach, though I appreciate many will. I have seen how effective it can be in providing clarity and focus for students, helping them manage the huge amounts of information they are required to learn, and in many ways making what might seem impossible – possible.

But this isn’t an argument for ‘teaching to the test’, it’s an acknowledgment of a fundamental truth that targets shape behaviour, regardless of how well intentioned the original objectives. Keep this in mind as we discuss one of the solutions currently being proposed to improve assessment, it’s called – Authentic Assessment.

Authentic assessment
First a definition, authentic assessment (Grant Wiggins 1989) involves evaluating learners through realistic tasks that reflect the types of challenges they will face in the workplace. It prioritises realism, and encourages learners to “do” the subject, mirroring or simulating the real-world. These assessments measure a learner’s ability to apply knowledge and skills to complex, realistic tasks. There are two main components, one a real-life task that needs to be completed by the learner and two, a rubric by which their performance can be measured.

Beyond the exam room – Instead of asking learners to sit in a room for two maybe three hours regurgitating memorised content, an authentic assessment might need the learner to prepare a portfolio, complete a project, engage in a debate, and even enter a realistic business environment, as required for a case study or simulation. Many consider them more engaging and motivational largely because learners can appreciate their real-world application. They also foster the development of critical thinking, problem-solving and ease the transition into the workplace.

But they are not a panacea – and there area number of problems with authentic assessments, not least the lack of consistency in measuring performance. This is because they prioritises validity (measuring what it’s supposed to) over reliability (consistent results – marking scripts to the same standard). The issue with reliabilty is partly the result of not having a “perfect” model answer that can be used as a benchmark, nor a sufficiently robust rubric (marking guide). Traditional exams by way of contrast aim for high statistical reliability through objective scoring but allow little flexibility in rewarding learners who produce creative or original answers and arguably benefit those who are just good at exams.

In addition to the difficulty in objectively measuring success, as a method of assessment they are not well defined, for example what exactly is the “real world,” and what is meant by “authentic.” One company’s definition of the workplace will be very different from another.

One final observation, although authentic assessment has been proven to increase employability type skills, there is no evidence to show that having been assessed in this way increases you chances of getting a job!

What gets measured……
Changing the assessment directly alters the focus for both learners and teachers, shifting it towards real-world tasks means that learners are less a consumer of information but active participants in its use. For teachers, instead of concentrating on delivering content their role becomes more facilitative, guiding learners through complex tasks rather than just lecturing. And overall this change in approach is hugely positive.

But as highlighted above, it comes at a cost, there is some confusion over what authentic actually means, and measuring success becomes subjective making it difficult to mark consistently. This last point is important, because it means that one person may interpret your answer as a pass and another as a fail – it then becomes the luck of the draw!

The answer….well one of them – think of assessment not as a single exam but as a framework under which several different formats and approaches can be used. The assessment framework will expose the learner over several modules or even several years to a blend of formal (reliable) exams and authentic (valid) exams. The outcome, might just give us – the best of both worlds.

The virtual educator has arrived!

But which one is me?

Inspired by a recent LinkedIn post I made regarding what it might be like to have an avatar as a teacher, I thought I should check out the evidence in terms of the effectiveness of avatars to improve learning before I get too carried away with the technology itself.

What is an avatar?
An avatar is a digital or computer-generated representation of a person or character in a virtual environment. It can take various forms, for example a simple profile picture on social media or an audio avatar talking about a specific subject using a synthetic voice. However, with major advancements in generative AI, avatars are evolving beyond static images or basic voice interactions. We are increasingly seeing lifelike digital humans emerge, sophisticated AI-driven avatars capable of “understanding” what we say and generating intelligent responses, speaking with realistic voices and impressive synchronised lip movements. This transformation is redefining how humans engage with AI-powered virtual beings, blurring the lines between digital representation and authentic interaction.

As to what they look like, here are some examples:

  • Firstly, an audio avatar that I have now built into my blog to provide a different perspective on what has been written. Here the avatar “chats” about the blog rather than simply reading it out loud. See above.
  • Secondly a Pixar style avatar. The goal here is to challenge the assumption that an avatar must resemble a real person to be effective.
  • And lastly, this is a more realistic avatar. Effectively an attempt to replicate me, in a slightly imperfect way. This is not about fooling the audience, although this is now possible, but to explore the idea that humans respond better to a more human like character.

The talking head – good or bad?
However there’s an elephant in the room when it comes to avatars, why do we need a talking head in the first place? Wouldn’t a simple voice-over, paired with well-structured content, be just as effective?

If you look at YouTube, almost everyone uses talking-head videos in different ways, surely if they weren’t effective, no one would have them, a kind of “wisdom of crowds.” But does their popularity actually prove their value, or are we just following a trend without questioning its impact?

Let’s have a look at the evidence:
After reviewing multiple studies, the findings are somewhat mixed. However, there’s enough insight to help us find an approach that works.

First, we have research from Christina Sondermann and Martin Merkt – Like it or learn from it: Effects of talking heads in educational videos. They conclude that the learning outcomes were worse for videos with talking heads, their concern was that it resulted in higher levels of cognitive load. But participants rated their perceived learning higher for videos with a talking head and gave better satisfaction ratings, selecting them more frequently. Secondly, another piece of research published five months later by Christina Sondermann and Martin Merkt, yes, the same people, What is the effect of talking heads in educational videos with different types of narrated slides. Here they found that “the inclusion of a talking head offers neither clear advantages nor disadvantages.” In effect using a talking head had no detrimental impact, which is slightly at odds with their previous conclusion.

A little confussing I agree, but stick with it….

Maybe we should move away from trying to prove the educational impact and consider the student’s perception of avatars. In this first report, student Perceptions of AI-Generated Avatars, the students said “there was little difference between having an AI presenter or a human delivering a lecture recording.” They also thought that the AI-generated avatar was an efficient vehicle for content delivery. However, they still wanted human connection in their learning and thought some parts of learning needed to be facilitated by teachers and that the avatar presentations “were ‘not … like a real class.” The second report, Impact of Using Virtual Avatars in Educational Videos on User Experience raised two really interesting points. Students found that high-quality video enhanced their learning, emotional experience, and overall engagement. Furthermore, when avatars displayed greater expressiveness, they felt more connected to the content, leading to improved comprehension and deeper involvement.

For those designing avatars, this means prioritising both technical quality and expressive alignment. Avatars should be visually clear, well animated, and their facial expressions should reinforce the message being conveyed.

What does this all mean?
Bringing everything together, we can conclude that avatars or talking heads are not distractions that lead to cognitive overload. Instead, students appreciate them, relate to them emotionally, in fact they see little difference between a recorded tutor and an avatar. Their expressiveness enhances engagement and might prove highly effective in helping student remember key points.

To balance differing perspectives, a practical approach might be to omit the talking head when explaining highly complex topics, (reducing cognative load) allowing students to focus solely on the material. However, keeping the avatar visible in most other situations, particularly for emphasising key concepts or prompting action to ensure maximum impact. Alternatively, why not let the student decide by offering them a choice to have the talking head or not.

How might avatars be used?
One important distinction in the use of avatars is whether they are autonomous or scripted. Autonomous avatars are powered by large language models, such as ChatGPT, allowing them to generate responses dynamically based on user interactions. In contrast, scripted avatars are entirely controlled by their creator, who directs what they say.

A scripted avatar could be particularly useful in educational settings where consistency, accuracy, and intentional messaging are crucial. Because its responses are predetermined, educators can ensure that the avatar aligns with specific learning goals, maintains an appropriate tone, and avoids misinformation.

This makes it ideal for scenarios such as:
– Delivering structured lessons with carefully crafted explanations.
– Providing standardised guidance, ensuring every student receives the same high-quality information.
– Reinforcing key concepts without deviation, which can be especially beneficial when high stake assessments are used, as is the case with professional exams.

However, if we power these avatars with Generative AI, the possibilities increase significantly:

  • More personalised learning. One of the most exciting prospects is the ability of avatars to offer personalised and contextualised instruction.
  • Help with effective study. Avatars could be used to remind students about a specific learning strategy or a deadline for completion of a piece of work. A friendly face, at the right time might be more effective than an email from your tutor or worse still an automated one.
  • Motivational and engaging. These avatars could also have a positive effect on motivation and feelings about learning. They could be designed to match an individual’s personality and interests, making them far more effective both in terms of higher levels of motivation and engagement.
  • Contextualised Learning. AI-based avatars can support teaching in practical, real-world scenarios, including problem solving and case-based learning. Traditionally, creating these types of environments required significant resources such as trained actors or expensive designed virtual worlds.

A few concerns – autonomous avatars
Of course, as with any new technology there are some concerns and challenges:

Autonomous avatars pose several risks, including their ability to make mistakes, the problem with avatars in particular is, they will be very convincing. We are already acutely aware that large language models can sometimes ‘hallucinate’ or simply make things up. Data protection is another concern, with risks ranging from deepfake misuse to avatars persuading users into sharing personal or confidential information, which could be exploited. Finally, value bias is a challenge, as AI trained avatars may unintentionally reflect biased perspectives that a professional educator would recognise and navigate more responsibly.

Conclusions
Avatars, whether simple or lifelike, are gaining traction in education. Research indicates that while talking heads don’t necessarily improve learning outcomes, they don’t harm them, and students perceive them positively. A key distinction lies between scripted avatars, offering consistent and accurate pre-determined content, ideal for structured lessons, and autonomous avatars powered by AI that open up a world of possibility in several areas including personalisation.

Avatars are a powerful and exciting new tool that offer capabilities that in many ways go beyond previous learning technologies, but their effectiveness very much depends on how they are designed and used. But hasn’t that always the case….

Finally – This is an excellent video that talks about some of the research I have referred to. It is of course presented by an avatar.  What Does Research Say about AI Avatars for Learning?

PS – which one is me – none of them, including the second one from the left.

Learning starts with what you already know – Making connections  

Have you ever stopped to think about what you already know?

It’s not something we tend to do every day, but it’s a surprisingly powerful technique especially when you’ve made a mistake and feel like you’ve learned nothing. In moments like these, recognising what you already know can be both grounding and motivating. Rather than starting from scratch, you’re building on a foundation that already exists.

And it is on this principle of foundational knowledge that the educational psychologist David Ausubel developed one of the most important theories in learning. He said that making connections between new ideas and prior knowledge helps us learn more deeply and retain information for longer. He referred to this as meaningful learning.

Ausubel’s meaningful learning
Ausubel’s meaningful learning offers a stark contrast to rote learning, primarily because it aligns more effectively with how our brains naturally process and retain information. Instead of treating the mind as a passive storage unit, merely accepting and holding isolated facts, meaningful learning actively engages the learner’s existing cognitive structure. While rote learning might achieve short-term recall, it fosters a superficial understanding devoid of context or connection to existing knowledge. This isolation makes the newly “learned” information fragile and easily forgotten.

But if making connections is the objective, how is this best achieved?

Anchoring New Information – When you come across new information it needs to be anchored to a relevant and stable concept that already exists. The stronger and more clearly defined this anchor is, the more effectively the new information can be integrated and retained. For example, imagine you understand what a mammal is, and are introduced to new information about a “dolphin,” if you can appreciate that despite living in the water, the dolphin shares many core characteristics with mammals the connection can be built.

Developing context (Advance organisers) – When you’re learning something completely new, its possible you dont have a solid enough understanding of the subject on which to anchor the new information. To solve this, its a good idea to have a general outline or some background information as a way of introducing the subject. This can help provide the new information with something it can be anchored to. For example, before talking about the concept of supply and demand, ask the students to think about something they might like to buy, perhaps training shoes, and why the price might be so high? Follow that up by adding “today we are going to see that it’s a function of how many units of the product the company is willing to make at a given price, compared to how much the consumer is willing to pay.” This simple introduction provides the student with sufficient “prior knowledge” to connect the new information. Note that the training shoes example is practical, tangible and relatable.

Impact of AI
It is not of course possible for me to write a blog without referencing AI, and there are some interesting ways in which Ausbells theory could become more effective, for example:

  • Analysing prior knowledge (personalisation) – It could be used to asses student’s prior knowledge and generate highly tailored “advance organisers”. Instead of a generic introduction, AI could create summaries, analogies, or concept maps specifically designed to connect with what the student already knows.
  • Intelligent tutoring – AI tutors can engage students in conversation that encourage them to explicitly connect new information to their existing knowledge. By asking probing questions and providing feedback, AI can guide students through the process of meaningful integration.  
  • Identifying knowledge gaps – AI can analyse student responses and identify specific gaps in their prior knowledge that might hinder their ability to link the new information.
  • Dynamic concept and mind mapping – AI tools can help students create and visualise maps that explicitly show the relationships between new and existing knowledge.

Implications for students
This is all very interesting but what does it mean if you are studying.

  • Reflect, think back Before diving into something new, take a moment to think about what you already know that might be related. Even a little connection can make a big difference.
  • Ask “how does this fit?” As you learn new things, constantly ask yourself how this new information connects to what you already understand.
  • Look for similarities and differences – How is this new idea like something you’ve learned before?
  • Pay attention to introductions – When your teacher/lecturer gives you an overview or a summary before starting a new topic, pay close attention! These “advance organisers” are like maps that show you where you’re going and how the new content fits into the bigger picture.  
  • Use mind maps or concept maps Often, it’s helpful to understand the main ideas first and how each one relates to the other.

The teacher – facilitator of connection
The educator’s role will shift from “sage on the stage” to “guide on the side.” They should become facilitators of connection, helping learners build bridges between new and existing knowledge. In this new role, educators do not just guide students toward knowledge, they inspire them to see the interconnectedness of ideas and the possibility of shaping their own paths of understanding.

Research (update) – Ausubel’s meaningful learning re-visited – the core idea that what a learner already knows remains a key principle, but recent research in cognition and neuroscience shows that memory is dynamic and not just like retrieving fixed recordings.

Predicting Learning in 2025 +

Making predictions is of course a mugs game. Most people start with what they currently know and project forwards using logic to justify their conclusions. This however leads to our first problem – “you don’t know what you don’t know.”

Secondly, a prediction is more likely to be true if the environment is stable, and that leads to problem number two – we are living in hugely unpredictable times. Technology, in particular AI is moving so fast it’s hard to keep up, politically there is both change and instability, making it difficult to say with any certainly what policies or regulatory requirements will come into effect, and the climate is shouting at us, although we don’t seem to be listening.

And yet it’s still worth making predictions, not so much to see if you can get it right, but to play around with what the future might bring, take advantage where you can and make changes or at least warn others if you don’t like what you see. 

So here goes – what might happen this year in the world of learning? 

1.Learning will not change: But learners will adapt to different ways of studying
While the world around us continues to change, the fundamental way we learn as humans remains largely unchanged. Despite advancements in AI, neuroscience, and educational tools, the core processes of how our brains absorb and retain information are rooted in biology and consequently, relatively stable. But learners will begin to adapt to this new world, and some will take full advantage of what these new technologies have to offer.

“There are no gains without pains” Benjamin Franklin

However, there will be those who fall into the trap of taking the easy way out and using the technology to “offload” learning, and as a consequence, learn very little. My prediction is that we will see far more people offloading learning in 2025, which is clearly a concern!

2.AI (GenAI) will continue to dominate: Bye Bye Text Books
Possibly the easiest prediction is that AI will dominate. Almost every day we are met with a new model that is easier to use, providing more effective ways of answering questions, summarising complex information and responding with high quality opinion. By the end of 2025 AI (GenAI) will have firmly established itself as a tool for learning, offering instant access to vast amounts of information. Traditional textbooks will become increasingly less valuable as students and professionals turn to large language models to provide real-time answers and explanations.

But AI’s capabilities extend far beyond simply generating content.  We will also see the expansion of the use of chat bots (study buddies) to not only answer questions but, provide coaching, motivation, and personalised feedback. The natural progression for these “study buddies” is that they will develop into “intelligent agents/tutors.” Agents are more autonomous and can perceive the environment, process information, and take actions to achieve specific goals. This means they will be able to analyse individual progress, suggest next steps, adapt materials in real time, and offer tailored support.  

3.Sector disruption: Content, assessment, and the thirst for data
The focus here is on the educational publishers, institutions that produce textbooks, workbooks, teacher guides and even digital learning platforms. With AI being capable of generating high-quality content quickly and at scale, traditional content providers will need to rethink their business models. Although there is unlikely to be a significant impact in 2025, we will begin to see changes in how some of these businesses operate. The focus will shift from storing knowledge inside “books” to recognising the value is in curation and providing meaningful learning experiences, organising knowledge into effective sequences and simplifying complex topics to support deeper understanding.

Assessments are in need of significant transformation and we will increasingly see calls for alternative methods of assessment to be used. This is mostly driven by concerns around plagiarism, but AI brings some interesting and arguably more robust ways of testing knowledge and skills. For example, AI-driven adaptive testing, offering real-time performance analysis and personalised assessments that move beyond standardised testing. Skills will remain high on the agenda this year with even more pressure being applied on educators to encourage them to close the gap between what is taught in the classroom compared to what is required in the workplace.  A change in assessment, perhaps using real world simulation to assess these skills, could be part of the solution.

It is easy to get carried away with predictions and forget about some of the reasons they may not come to fruition. One such barrier is that organisations will struggle to get their data in one place to provide meaningful information for these models. 2025 will see organisations spending significant amounts of both time and money cleaning and tagging data so that it is useful

4.Regulation, the green agenda, and commercial pressures
Speaking of barriers, by the end of 2025, regulatory frameworks for AI in education will be far more developed but the landscape for adoption is likely to be patchy. Governments and educational bodies both in the UK and around the world will seek to strike a balance between innovation and ethical concerns, ensuring that AI-driven learning tools are used responsibly. The environmental impact of AI will become an increasingly critical consideration, with growing awareness of the substantial energy consumption required to train and run large AI models. These high energy costs add complexity to discussions about AI’s role in education.

Commercial interests and financial investments will heavily influence the direction of policy. Big technology firms will continue to play a major role in shaping the future of education, with their AI tools becoming more deeply embedded in learning institutions. As AI becomes an integral part of the education ecosystem, the debate will centre around who controls the technology and how it can best serve learners rather than corporate interests, all while addressing the significant environmental footprint of the AI infrastructure.

Summary
I have summarised the key points below, briefer of course but as a consequence less nuanced. Will they come true, maybe but as Yogi Berra once said – “It’s tough to make predictions, especially about the future.”

  • Prediction 1 – learning will not change but learners will. They will begin to adapt, changing how they study, the problem is this could lead to them not learning at all.
  • Prediction 2 – AI (GenAI) will continue to dominate. This will lead to the demise of the text book, the development of GenAI study buddies and in time, intelligent agents/tutors.
  • Prediction 3 – Watch out for  sector disruption, especially for educational publishers. In addition, assessments are due for a revamp but data will remain king.
  • Prediction 4 – Regulation will be in conflict with innovation. There will be a growing tension between regulation and the responsible use of AI with commercial organisations having the space to innovate.

 The 5 best exam techniques ever……

Father Christmas is so happy because he’s remembered all the names of his reindeer by using the acronym, Reindeer Dance Brightly Visiting Delighted People Cheerfully Carrying Candy. The elves on the other hand just thought they knew the answer!

Although you might think I am using this ‘clickbait grabbing’ headline purely to attract new readers to my blog, which, admittedly, would be nice, you are only partly right.

I thought it would be an interesting and challenging exercise to see if I could pick the “best exam techniques ever.” This is because one of the most valuable skills in teaching and learning is reduction – taking complexity and making it simple.

Clarity is the counterbalance of profound thoughts. Luc de Clapiers (French writer)

From a social media perspective there is of course no downside to a clickbait headline, you might for example find the post helpful, too simple, disagreeable or disappointing. Regardless of what you think, its already too late you have been hooked, which is the whole point. 

Although I can’t promise my list won’t disappoint, it is based on over 30 years of experience in the high-stakes exam world. Additionally, I will provide context and most importantly a justification for each choice.

Sometimes the simplest things are the most profound. Carolina Herrera (Fashion designer)

Context – The exam success formula
To add context and inevitably some complexity we should consider what you need to do to be successful in an exam. The diagram below is an outline of the key components, firstly you need knowledge, you can’t pass an exam without it. Secondly you must be proficient in certain skills, think here about time management, reading the question properly, and memory techniques. And lastly, your attitude matters. This is your mental state or disposition and it will influence how you think, feel, and behave. In terms of the exam this includes, having a positive attitude, being confident, resilient, and managing those exam nerves.

Why you need exam techniques

You can’t pass an exam without knowledge, but you can fail one even though you are knowledgeable.” Stuart Pedley-Smith

This quote encapsulates why exam techniques are so important. Knowledge alone isn’t enough – you need to apply that knowledge under exam conditions which requires other skills. Many good students fail because they don’t use exam techniques, largely because they think knowing the subject is sufficient. An exam room is an artificial environment and you need to be aware of the challenges it will bring.

The best exam techniques……ever
Now for the tricky part – narrowing down all the methods for exam preparation to just five.

1. Question practice: As regular readers of my blog will already know; question practice is essential. But as you get closer to the exam the emphasis shifts from helping you learn to being well prepared for the exam itself.  Question practice supports most of the techniques in the list below, which is why it’s number one. Practicing past papers is even more powerful because it – reinforces understanding, provides feedback, helps develop resilience, enhances time management, identifies knowledge gaps, improves exam writing skills, and clarifies the standard required to succeed. And breath!

2. Preparation – Revision: About two to three weeks before the exam is the best time to start revising. You cannot go into a high stake’s exam without preparation. Revision is the period where you reinforce past knowledge and, in many instances, actually understand some topics for the first time. Although cramming the night before does work to a certain extent, your chances of success are far higher if your revision is well planned and spaced out over time.

3. Recall – Memory techniques: “You can’t know something if you don’t remember it”. Understanding a topic will help with recall, however it’s not enough because you won’t understand everything and the volume of information you are required to learn is often huge.  This is why you need to use memory techniques such as acronyms, acrostics, rhythm and rhyme and mind mapping.

4. Develop a positive mental attitude: There is a lot to unpack in this one. It’s in the top 5 because if stress or test anxiety levels are too high or you lose confidence in your abilities, at best you could freeze in the exam and lose valuable time, at worst you might simply give up. A positive attitude is not believing everything will be fine, that will almost guarantee failure. It’s about developing a series of mental strategies that will help. These include challenging negative thoughts, setting realistic goals, and appreciating that learning from mistakes is a good thing.

5. Effective time management: There were many other techniques that could have occupied the number 5 slot, but I chose time management because, if you don’t manage your time in the exam you will fail. Having sufficient knowledge to pass means very little if you spend too much time on question one, and as a consequence answer the other questions poorly due to the time pressure. Allocating the right amount of time to each question is easy in theory, but doing it in the exam requires practice.

Complexity to simplicity
To be fair I quite enjoyed looking back and thinking about the exam tips and hints that I and others have given over the years. However as I expected it wasn’t easy, there were lots of other very worthy techniques that didn’t make the cut, but overall, I’m happy with the top five. Are they the best exam techniques ever…….well if you got this far in terms of my click rate, it doesn’t matter.

Transforming Learning – GenAI is two years old

ChatGPT – Happy second birthday
Generative AI (GenAI), specifically ChatGPT exploded onto the scene in November 2022, which means it is only two years old. Initially people were slow to react, trying to figure out what this new technology was, many were confused, thinking it was a “bit like Google.” But when they saw what it could do – “generating” detailed, human-like responses to human generated “prompts,” ideas as to what it could be used for started to emerge. The uptake was extraordinary with over 1 million people using it within the first five days, a year later this had grown to 153 million monthly users and as at November 2024 its around 200 million. The use of GPTs across all platforms is difficult to estimate but it could be something in the region of 400 – 500 million. That said, and to put this in perspective, google search has over 8.5 billion searches every day, that’s the equivalent to the world’s population!

From Wow to adoption
Initially there was the WOW moment, true AI had been around for a long time but GenAI made it accessible to ordinary people. In the period from November 2022 to early 2023 we saw the early adopters, driven mostly by curiosity and a desire to experiment. By mid 2023 it became a little more mainstream as other GPTs emerged e.g. Googles Bard (Now Gemini), and Microsoft’s Copilot to name just two. But it was not all plain sailing, ethical concerns began to grow and by the end of 2023 there were people talking about misinformation, problems with academic integrity, and job displacement. This led to calls for greater regulation especially in Europe, where AI governance frameworks were developed to address some of the risks.

In terms of education, initially there were calls to ban learners from using these tools in response to answers being produced that were clearly not the work of the individual. And although many still worry, by early 2024, there was a creeping acceptance that the genie was out of the bottle and it was time for schools, colleges, and universities to redefine their policies, accept GPTs, and integrate rather than ban. 2024 saw even greater adoption, according to a recent survey, 48% of teachers are now using GenAI tools in some way.

GenAI – Educational disrupter
There have been significant changes in education over the last 50 years e.g. the introduction of personal computers and the Internet (1980s -1990s), making content far more accessible, and changing some learning practices. Then in the 2000 – 2010s we saw the development of E-learning Platforms and MOOCs such as Moodle, Blackboard and Coursera. This fuelled the growth of online education providing learners with access to quality courses across the globe.

But I am going to argue that as important as these developments were, not least because they are essential underpinning technologies for GenAI, we are always “standing on the shoulders of giants” – GenAI is by far the biggest educational disrupter than anything that has come before. Here are a few of the reasons:

  • Personalised Learning at scale: GenAI tools make it possible for everyone to enjoy a highly personalised learning experience. For instance, AI can adapt to an individual’s learning style, pace, and level of understanding, offering custom explanations and feedback. This brings us far closer to solving the elusive two sigma problem.
  • Easier access to knowledge and resources: Although it could be argued the internet already offers the worlds information on a page, the nature of the interaction has improved making it far easier to use, and have almost human conversations. This means learners can now explore topics in depth, engage in Socratic questioning, produce summaries reducing cognitive load and be inspired by some of the questions the AI might ask.
  • Changing the Teachers role: Teachers and educators can use GenAI to automate administrative tasks such as marking and answering frequently asked questions. And perhaps more importantly the traditional teacher centered instructor role is shifting to that of a facilitator, guiding students rather than “telling” them.
  • Changes the skill set: Learners must rapidly enhance their skills in prompting, AI literacy, critical thinking, and foster a greater level of curiosity if they are to remain desirable to employers.
  • Disrupting Assessment: The use of GenAI for generating essays, reports, and answers has raised concerns about academic integrity. How can you tell if it’s the learners own work? As a result, educational institutions are now having to rethinking assessments, moving towards more interactive, collaborative, and project-based formats.

Transforming learning
GenAI is not only disrupting the way learning is delivered its also having an impact on the way we learn.

A recent study by Matthias Stadler, Maria Bannert and Michael Sailer compared the use of large language models (LLMs), such as ChatGPT, and traditional search engines (Google) in helping with problem-based exploration. They focused on how each influences cognitive load and the quality of learning outcomes. What they found was a trade-off between cognitive ease and depth of learning. LLMs are effective at reducing the barriers to information, making them useful for tasks where efficiency is a priority. But they may not be as beneficial for tasks requiring critical evaluation and complex reasoning. Traditional search engines, need the learner to put in far more effort in terms of thinking, which results in a deeper and better understanding of the subject matter.

The research reveals a fascinating paradox in how learners interact with digital learning tools. When using LLMs, learners experienced a dramatically reduced cognitive burden. In other words, they had far less information to think, making it easier to “see the wood from the trees.” This is what any good teacher does, they simplify. But because there was little effort required (desirable difficulty) they were less engaged and as a result there was little intellectual development.

This leads to one of the biggest concerns about Generative AI, the idea that it is seen as a way of offloading learning – the problem is you cant.

Conclusions
As we celebrate ChatGPT’s second birthday, it’s clear that GenAI is more than a fleeting novelty, it has already begun to disrupt the world of education and learning. Its ability to personalise learning, reduce cognitive barriers, and provide a human friendly access to resources holds immense potential to transform how we teach and learn. However, the opportunities come hand in hand with significant challenges.

The risk of over-reliance on GenAI, where learners disengage from critical thinking and problem solving, cannot be ignored. True learning requires effort, reflection, and the development of independent thought, skills that no technology can substitute.

The role of educators is crucial in ensuring that GenAI is used to complement, not replace, these processes.

The Silent Teacher – learning environments

Have you ever walked into a bar or restaurant looking for atmosphere and when its not there, walked out? Isn’t that just a little bit odd! – and yet we have probably all done it. This gives some indication as to how sensitive we are to the environment in which we live, work, and play. The way you pull of this insightful magic trick is by detecting nonverbal cues such as body language, facial expression, tone of voice etc, soaking up the lighting, colour, sound and temperature, whilst sensing the emotions in the room using your primeval antennae.

We also learn in an environment – which is why it’s important we are mindful of the spaces we choose for study. The term learning environment is broad, encompassing all aspects that surround you, including the physical setting and learning materials, psychological factors, such as motivation and emotions, as wells as cultural influences. These elements all play a crucial role in your ability to absorb, process, and retain information, directly impacting learning outcomes.

Impact on learning
There is considerable evidence to support the importance of a “good” learning environment.

One study by Barrett et al. (2015) found that the physical characteristics of a classroom (light, noise, temperature, air quality, and seating arrangements) explained 16% of the variation in pupils’ academic progress. Ambady and Rosenthal (1993) discovered that people could accurately gauge a teachers’ mood and effectiveness from just six seconds of silent video clips. And as we know attitudes and moods are contagious, contributing to the overall feeling of a classroom. As discussed in a previous blog, in 2006 Carol Dweck’s brought to us the importance of a growth mindset that showed that learners who “feel psychologically” supported and encouraged are more likely to embrace challenges and persist in learning.

My blog Reading underwater – Context dependant memory, concludes that where you learn has a bearing on what you are able to remember at a later date. And Top Gun: Maverick or a Study With Me Video? Identifies the interesting trend of students choosing to play a video of other students studying in the background to create the “right mood” to help them study.

Having an effective study environment can improve….

Which is a very powerful list of learning ingredients.

The online learning environment
It’s essential to recognise the digital space as a learning environment and not merely a platform for content delivery. Whether through asynchronous (self-managed) or synchronous (real time streaming) methods, the design of online environments plays a crucial role in enhancing engagement, motivation, and knowledge retention.

To be effective the asynchronous environment must provide structured pathways, clear objectives, and opportunities for self-assessment. Incorporating interactive elements such as discussion boards, quizzes, and multimedia resources to promote active engagement. Whilst synchronous learning needs to develop a sense of community and provide immediate interaction. Designing sessions to encourage collaboration and participation is vital. Facilitators should use breakout rooms for small group discussions and incorporate polls or Q&A sessions to keep learners engaged and motivated.

Creating your own learning environment
But what does this all mean if you are studying on your own? Here is some guidance on creating your very own learning environment.

  • Physical environment – Have your own learning space – Choose a well-lit, quiet area with a comfortable chair and desk. A dedicated workspace signals to your brain that it’s time to focus, which can improve concentration and productivity. Organise your materials – Keep books within reach to minimise distractions. Use visual aids – Incorporate posters or mind maps, but make sure the space is uncluttered.
  • Maximising motivation – Set clear goals – Break study sessions into specific, achievable objectives. This provides direction and a sense of purpose, helping you maintain motivation throughout your studies. Self-assessment – Use quizzes and flashcards to evaluate your understanding. Celebrate small achievements – Keep a note of your progress and consider social media posts when achieving milestones.
  • Psychological environment Cultivate a positive mindset – Focus on progress and remind yourself of your goals. A positive mindset enhances resilience, making it easier to overcome challenges and stay committed to your learning journey. Manage distractions – Use techniques like the Pomodoro Technique for focused study sessions.
  • Emotional environment Create an enjoyable atmosphere – Listen to background music (preferably instrumental) or find a calming spot. A pleasant environment can reduce stress and make learning more enjoyable, which can improve retention. Practice mindfulness – Use deep-breathing exercises to reduce anxiety and maintain focus.
  • Social learning opportunities – Join online communities – Participate in forums or study groups for support and discussion. Engaging with others can provide motivation, diverse perspectives, and valuable insights into the material. Teach others – Explain concepts to a virtual peer or record yourself teaching. Teaching reinforces your understanding and helps clarify your own knowledge.

So, whether you step into a bar, restaurant, or classroom, remember that the right atmosphere can make all the difference. Just as a great venue enhances your night out, a well-designed learning environment can be the key to unlocking your best study experience.

The purpose of learning – Wisdom? Reflections on 30 years

I have always thought that wisdom was something slightly magical, even biblical, reserved for those who have travelled the world in search of the secrets and meaning of life.

But in reality, it’s far less mystical and is more likely the result of a lifetime or simply a longtime of “good learning”. 

This year marks my 30 years with Kaplan a professional education company here in the UK and I am leaving for pastures new. This has inevitably meant I have been doing a lot of thinking about the past, reflecting, and asking some fundamental questions such as, what do I know now that I didn’t know 30 years ago, what has been my most important lesson, and of course the classic, what do I know now that I would share with my younger self? So, I hope you will allow me this slightly self-indulgent post about wisdom.  

What is wisdom?
There seems to be no single definition of wisdom, although all agree that it is much more than simply possessing knowledge. There is also a commonly held view that intelligence plays a part largely because if you are intelligent you are able to solve problems and learn from experiences, but it would be wrong to conclude that intelligent people are wise.

A simple definition is probably all we need – “Wisdom is the ability to make sound judgments and decisions based on knowledge, experience, and understanding.” And when you read that back, wisdom becomes far more accessible and less mysterious. In fact, who wouldn’t want to make sound judgments every single day – We all need wisdom.

But the definition gives little away in terms of what is meant by knowledge, experience and understanding.  John Vervaeke, the philosopher, and cognitive scientist goes a little further by saying that to be wise you need the ability to identify what is relevant from the vast amount of information we are exposed to. “Relevance realisation” helps us navigate complexity and make sense of our world, but to do this you need to pay attention and challenge what you see, continually looking for feedback. This is an example of thinking about how you are thinking or metacognition, reflecting on what was momentarily in your mind and asking questions as to its accuracy, your bias and prejudice. And when you can do that, it becomes possible to develop insight, the aha” moment that comes from a deep understanding, revealing previously unseen connections.  

Okay, that might be a little too much detail but I think it shows that in order to develop wisdom you need the ability to challenge your own thinking, in search of a greater and deeper understanding.

Wisdom and age

The relationship between age and wisdom is nuanced and multifaceted. While age can contribute to wisdom, it is not an absolute guarantee. Wisdom, can be accumulated over time as a result of having different life experiences, but its not necessarily the experience that creates wisdom, it’s what you learn from it. Additionally, with age often comes a greater capacity for reflection, you may simply have more time to integrate your experiences into a broader understanding and as consequence develop that all important insight. Emotional regulation also tends to improve with age, contributing to more thoughtful and less emotional and reactive decision-making.

However, it is important to acknowledge counterpoints that some cognitive abilities for example problem-solving and processing speed, decline with age. In fact, studies from the Berlin Wisdom Project suggest there is a plateau of optimal wisdom performance in middle and old age, with some evidence of wisdom decline starting at the age of 75.  One interesting aside, wisdom tends to correlate with less loneliness. In a study from the University of California, San Diego, in 2020 researchers found that for middle-aged and older adults wisdom warded off the worst effects of loneliness.

In conclusion, it’s not necessarily age that helps you develop wisdom. Its just that you have had more life experience and time on which to reflect together with a greater inclination to do so.

How to acquire wisdom
To think that you can provide an instruction manual for wisdom is at best ambitious and more likely foolish, but there might a few lessons we could learn that will move us in the right direction. A good starting point might be to ask a couple of experts:

  • Confucius said “By three methods we may learn wisdom: First, by reflection, which is noblest; Second, by imitation, which is easiest; and third by experience, which is the bitterest.”
  • And Socrates “I am the wisest man alive, for I know one thing, and that is that I know nothing.

From these “wise words” we can perhaps extract some of the traits of wise people. Wisdom comes from:

  • Reflection – is the process of introspectively examining and evaluating your thoughts, experiences, and actions. It’s a continuous process requiring a creative and inquisitive mind, questioning assumptions and seeking new perspectives. Reflection is an essential component of both learning and wisdom.
  • Experience – you need to have had some interesting life experiences on which to reflect. It is however not necessary to have “seen it all,” only that you questioned, challenge and thought about the experiences you have had.
  • Humility – Socrates went around asking people questions about justice, truth, and wisdom and found that despite them thinking they knew lots, in reality they were ignorant. To be wise you need to reach a sufficiently high level of questioning that you find your own level of ignorance, whilst at the same time not slipping into becoming arrogant.
  • Although not derived directly from the quotes, we should include Virtue – this is about consistently choosing to do what is right and good. It requires perspective, the ability to see things from the point of view of others as well as honesty, courage, kindness, and fairness.

30 years later
What a long time 30 years is, but so far it has been a real privilege to work with good people in an industry that helps people learn, and get a chance to change lives for the good. If I’m honest It wasn’t what I set out to do but its not worked out to badly.

And now to the hardest part, how would I answer those three questions I posed at the start?

  • What do I know now that I didn’t know 30 years ago – in some ways this is the easiest one because I have learned so much. But if I had to pick one thing it would be the understanding I now have as to how learning works. This has served me well in both my teaching and wider career in education.
  • What has been my most important lesson – work hard, have focus and purspose but try to be kind, make friends, and don’t fall out with people, life’s too short.
  • What do I know now that I would share with my younger self – A couple of things I guess, firstly that Socrates was right, “I know that I know nothing.” This is not so much about humility but a recognition that even when you get to a level of competence or expertise, there is always another higher-level waiting for you. And secondly don’t compare yourself with others, only with yourself, if you’re moving forward that’s good enough.

I cant claim the above as wisdom, but give me another 30 years and maybe I will have something for you.

Is travel the best teacher? – Informal Learning

I have just come back from a trip to Vietnam and Cambodia, two counties with long and complicated histories. Vietnam has become the destination of choice for many Gen Z’s partly because its cheap but more importantly it offers a real-life experience, different attitudes, cultures, smells, and flavours, with a kindness in its people that is infectious.

There is also a wisdom that has developed over time as a result of relations with other countries (China, Japan France, and the USA), its different religions (Hinduism and Buddhism), competing political ideologies (Capitalism and Communism) and a reflective mindset that tries to take the best from the wars they have fought and the atrocities experienced.

Wisdom often manifests itself in saying or proverbs, and one Vietnamese proverb that stood out for me was, “a day of traveling will bring a basketful of learning.” But do you really learn from travelling, and even if you do, how effective is it when compered with other methods of delivery and teaching?

Real-world and Experiential learning
To help answer this question let’s start by looking at two types of learning that on the face of should provide some insight, real world, and experiential learning.

Real-World Learning involves engaging with real-life situations and practical experiences outside the traditional classroom setting. It focuses on applying theoretical knowledge to solve actual problems often in the workplace, it also requires the individual to communicate and engage with others.

Experiential Learning, as defined by Kolb et al is a broader concept that encompasses learning through experience. It involves a cyclical process of experiencing, reflecting, thinking and acting. Its sometimes more narrowly defined as “learning through reflection on doing.”  Experiential learning can occur in various settings, not just real-world contexts, and includes structured activities designed to simulate real-life situations, for example case studies and role plays . Real-world learning is a form of experiential learning.

One other theory related to experiential learning worthy of mention is, Constructivist Learning. This is where learners construct knowledge through their experiences and interactions with the world. This fits perfectly with travel which offers diverse and rich contexts for individuals to build and refine their understanding of already learned facts and opinions.

As you can see the methods are similar but not the same, by way of an example you would engage in experiential learning if involved in a role play, perhaps negotiating the price for a new product with a colleague. Whereas real-world learning might result in you actually working in a company, actively engaged in a real world negotiation, possibly as part of a team.

The role of knowledge – Just to be clear, the precursor to both experiential and real-world learning is knowledge, they are application models e.g a means of testing out how well you have understood what you have already learned, can you apply your knowledge in the real or simulated world?  And in that application, reflecting and challenging what you have learned as you attempt to reconcile the theory with practice.

Benefits – There have been several studies looking at the effectiveness of these application-based methods, and they have been shown to result in higher levels of engagement and motivation, improvement in critical thinking and problem-solving skills, higher levels of retention, and the cementing of previously learned knowledge.

But these methods are often part of a structured, formal training programme, overseen by a teacher or coach with predetermined learning outcomes and some type of assessment. When you go traveling, this framework does not exist.

Travelling is learning – it’s just informal
But if you look closely the clues are there as to why travel is a good teacher, its just you must take more responsibility yourself. Firstly, you choose to travel, you are motivated (internally), curious, and inspired, you are looking for something, an experience perhaps. Interestingly you probably don’t know what it is, it’s possibly more of an itch that needs scratching, a desire to explore, to break away from the norm. You are “motivated away” from what you have towards something different that is unknown. This is informal learning, there is no desired outcome, you are simply moving away from the status quo and not towards a specific learning outcome.

Secondly you may have certain expectations as to what you will experience, but when you are there, those preconceptions may well be challenged, the stereotypes dispelled. This is Kolb in action, experiencing, reflecting, thinking, and acting. To make sense of the world around you at that point, you might need to challenge your existing beliefs, black and white suddenly becomes grey, and blurred lines emerge where previously non existed. Thirdly it opens up a whole new world of possibility, expanding your horizons, turning the trip into a learning adventure. At the same time, you are in the real world having to navigate the changeable environment, communicate with others who look think and behave differently, you may have to adapt or change the way you do somethings completely. But most of all you begin to learn about yourself, and that humility gives you a wonderful perspective.

And it is this that makes travel a potential life changing experience, its as if you had removed the walls from the classrooms, making everything possible, forcing you to develop your own thoughts and ideas, not mimic others. Your senses will be in overdrive and your ability to recall significantly increased, making this a memorable event that you will reflect on throughout your life.

But this will not of course be the case for everyone, the learning is not guaranteed, some will come back with broken friendships and mosquito bites. And that’s life, travel is not the most efficient learning experience, it’s just possibly the best one.

But don’t take my word for it, watch this – 10 Reasons Why Travel is the BEST Education

Trust me …….. I’m a teacher

This month’s blog is about something especially important to me just now, its an essential component of any real and meaningful relationship – TRUST. Ask yourself how many people do you really trust, three, four probably not that many, a few close friends, and family perhaps. If you trust someone, you believe they are honest and sincere and wont deliberately do anything to harm you, in fact they will always have your best interests at heart. As a consequence, you are more likely to listen carefully to what they say, giving them significant influence over what you think and do.

Trust takes years to build, seconds to break, and forever to repair.” Amy Rees Anderson

Trust is also one of those intangible qualities that companies and organisations crave, and yet when it matters most, they often fail to keep their end of the bargain. A recent survey by PwC concluded that the trust gap is widening, here are a few other headlines:

  • 93% of executives agree that building and maintaining trust improves the bottom line
  • It’s getting even harder to build trust – executives are facing more hurdles than before
  • 86% of executives say they highly trust their employees, but only 60% of employees feel highly trusted

Who can you trust?
Ipsos the market research company has run a poll on trust in the professions for many years. Their 2023 report identified that the most trusted professions in Britain were: nurses, airline pilots, librarians, doctors, engineers, teachers, and professors. Perhaps not surprisingly the bottom three were politicians, government ministers and advertising executives. Business leaders somewhat disappointingly scored only 30%, just above estate agents! Looking at the list it seems that trust takes a backseat when power and money are part of the equation.

Trust is the glue of life. It’s the most essential ingredient in effective communication. It’s the foundational principle that holds all relationships.” Stephen Covey

Trust in education
Trust plays a pivotal role in education, influencing various aspects of the learning process. When you think about it students don’t know if what they are being taught is actually worth knowing. They simply trust that the teacher will select relevant content and use the best learning methods to deliver it.

We should probably distinguish trust from respect, authority, and reliance. Respect is where you hold someone in “high regard,” recognising their worth, you might of course trust them as well but its not essential. Authority on the other hand is more about power, a student will “do as they are told” but that doesn’t mean they will see the value in what they are doing. And lastly reliance, this is closer to trust but its still not the same, you can rely on a calculator to come up with the correct answer but you cannot trust it, that’s because there is no relationship.

Think of a situation where the teacher asks the whole class to attempt 10 questions for homework, the problem is that the students don’t see any value in this and think it’s a waste of time. But when they get home, they reflect on what they have been asked to do and complete the questions, not because they have changed their mind but because they believe that the teacher wouldn’t want them to do something that wasn’t in their best interests. The result is that the next time the student is asked to do something, they are more likely to oblige. Okay so this is a rather idealistic view of the teacher, student relationship but hopefully it shows that trust can reach well beyond the walls of a classroom.

What about the neuroscience
Trust is much greater in people with higher levels of oxytocin (OT), which although not classed as a neurotransmitter, (chemicals in the brain that help link neurons) for our purposes we can think of it as being similar. In one experiment individuals administered with OT were more inclined to trust others with their money compared to those given a placebo. If you want to increase levels of OT, but don’t want to give a massage! (physical contact can help), you should demonstrate that you care about the individual and are kind to them. Which when you think about it makes a lot of sense.

Trust is like the air we breathe – when it’s present, nobody really notices; when it’s absent, everybody notices.” Warren Buffett

Increased engagement and communication
In terms of evidence studies have shown that when students trust their teachers, they are more likely to engage in learning activities, seek feedback, and participate in class discussions (Roorda et al., 2011). This trust enables educators to create supportive learning environments where students feel safe to take risks, ask questions, and explore new ideas. In addition, trust between students and educators facilitates effective communication and collaboration. Research by Bryk and Schneider (2002) suggests that high levels of trust in schools are associated with improved teacher morale and greater job satisfaction.

Conclusions
You can of course be a good teacher without building trust, and a student doesn’t need to trust their teacher to learn but it can be empowering, motivational and in some situation’s life changing. After all, as a teacher what do you have to do, simply have the students’ best interests at heart, and take an interest, and any good teacher will do that. As for the student your role is to trust, which is of course is far more difficult.

To learn more about trust in learning – watch the 4m video – The key role trust plays in learning

My thanks to Monika Platz and her paper on Trust Between Teacher and Student in Academic Education at School which provided inspiration and insight for this blog.

Solving crimes using Concept Mapping

Have you ever wondered why in pretty much every crime drama the “hero” stares at a wall, with names, locations and pictures pinned to it. He’s trying to solve a crime but there’s no logic, nothing makes sense, he has more questions than answers. The phone rings, it’s his daughter asking when he will be home, the dog is barking in the background, then suddenly he puts down the phone and says “that’s it, why didn’t I see that connection before” “why did the dog not bark that night?” The connection is made and the crime solved.

What was on the wall was effectively a concept map, a visual tool used to organise and represent knowledge or ideas in a hierarchical manner, showing the relationships between them to help develop a better understanding, clarify relationship and in some instances solve problems.

Concept mapping
Although a concept map and a mind map are both visualisation tools, they are not the same. A concept map differs in that as the name suggests its focus is on the relationship between concepts rather than on a single theme placed at the centre of a blank page as is the case with a mind map. Another way of thinking about them is that concept maps are more suited to planning and organising, they have a structured hierarchy and highlight relationships. On the other hand, mind maps are “free spirits”, used more spontaneously, encouraging creativity.

A concept map typically consists of nodes, representing concepts or ideas, connected by labelled lines or arrows to indicate the relationships between them.

Why concept maps work
Concept maps are effective because they mirror the way our brains naturally categorise and store information. When we create one it activates various regions of the brain involved in memory, comprehension, and critical thinking. This process helps to reinforce learning and deepen understanding by facilitating the formation of neural connections. Additionally, the visual nature of concept maps appeals to the brain’s preference for processing information in a spatial and interconnected manner, making it easier to grasp complex relationships and retain information over time.

Concept mapping as a technique was developed by Dr. Joseph D. Novak at Cornell University in the 1960s and is based on the theories of Dr. David Ausubel, who emphasised the importance of prior knowledge in learning new information. It stems from the ‘constructivism‘ approach to learning which suggests that individuals construct their own understanding and knowledge of the world, based on their own unique experiences.

“The most important single factor influencing learning is what the learner already knows. Ascertain this and teach accordingly.” David Ausubel. (1968).

Research also supports their use with studies showing that they improve learning outcomes, promote critical thinking, and increase retention of information. For example, a meta study published in 2024 concluded that “concept maps are highly effective in enhancing the academic achievement of students and must be used in the education process”.

How to design a concept map
Designing a concept map involves visually organising information to illustrate the relationships between concepts. Here’s a brief introduction to the process:

  1. Identify Key Concepts: Start by identifying the main concepts relevant to your topic. Think of them as the building blocks of your map.
  2. Determine Sub-Concepts: Branch out to list related sub-concepts, organising them from general to specific. Then start thinking about the relationship between the concepts, is there for example a cause-and-effect.
  3. Connect the Dots: Draw lines to connect related concepts, and label the lines to explain the relationships and organise in a hierarchy if not already done so.
  4. Refine and Expand: As you study, add more concepts and links, perhaps using colour to clarify different groupings, continually refining the map as your understanding develops.

Although you can use pen and paper there are lots of digital tools available, you can find some here – 10 Top Free Concept Map Makers & Software in 2024.

And finally – the best way to learn how to produce a concept map is to watch someone building one – here is a short 8-minute video that explains all.  How to Make a Concept Map.

Roger Federer the Master – Mastery learning

Roger Federer is widely regarded as one of the greatest tennis players of all time and often referred to as a master of tennis. His extraordinary talent, remarkable achievements, consistency, and longevity in the sport have solidified his status as a tennis legend. He also seems to be a very nice bloke!

Relevance to learning?
To improve your position in the tennis rankings, you must first prove yourself at the lower levels before you move to the higher ones, which seems like a pretty solid idea, and yet that’s not how it works in education. If you think back to your school days, although there were different recognised levels of ability within a year, everyone progressed to the next stage of learning based on age. This could mean that you were studying something at a higher level having not mastered the basics at the lower one.

What is Mastery
Mastery learning is an educational approach where learners are expected to achieve a high level of proficiency or mastery in a particular subject or skill before progressing to more advanced material or a higher level. In other words, you must demonstrate mastery of the current material before moving on. For example, in a math’s lesson learners may be required to demonstrate proficiency in solving algebraic equations before moving on to more advanced topics such as calculus. Similarly, in English, learners must demonstrate their proficiency in grammar and punctuation before progressing to writing essays.

Benjamin Bloom, remember him, is often credited with pioneering the concept of mastery learning. In the 1960s. Bloom proposed the idea as a response to the limitations of traditional instructional methods, which often resulted in some learners falling behind while others moved ahead without mastering the material. He emphasised the importance of ensuring that all learners achieve a solid understanding of core concepts before progressing to more advanced topics. This approach required personalised instruction, continuous assessment, and opportunities for remediation to support every learner in reaching mastery. An example of this type of mastery teaching can be found in the personal tutor market, where parents pay an expert to coach and mentor their children so that they will be able to ace high stake tests.

There is also substantial evidence supporting the effectiveness of mastery learning. Several studies have highlighted the advantages, indicating that learners taught using mastery typically exhibit superior academic performance, greater retention of information, and deeper comprehension compared to those instructed using traditional methods. For instance, a meta-analysis published in the “Review of Educational Research” in 1984, analysed 108 studies on mastery learning and concluded that learners consistently outperformed their counterparts on standardised tests and other metrics of academic attainment. 

Mastery grade – Although the emphasis in mastery is on ensuring that learners understand and can apply the material, rather than achieving a specific grade, if the assessment method includes questions, then there has to be a “pass mark”. Although the exact percentage may vary, I saw 80% – 85% mentioned, the consensus seems to be 90% or higher.

“Ah, mastery… what a profoundly satisfying feeling when one finally gets on top of a new set of skills… and then sees the light under the new door those skills can open, even as another door is closing.” Gail Sheehy

The impact of technology
While we have seen that the effectiveness of mastery learning has been proven it is not without its challenges. One issue is the increased time needed, the result of personalised tuition, and additional resources e.g. more questions and course materials. This can put a significant strain on any organisation that might result in them cutting corners in practice. However, this is where technology can really help, we are now in the age of AI and adaptive learning which has the potential to offer the high levels of personalisation required to deliver at scale on the mastery promise. Which could mean that mastery and all its benefits becomes well within the reach of everyone rather than a privileged few.

But, but, but the devils in the detail
In practice there are of course other problems, what role if any will teachers play, will there need to be significant retraining? Who will pay for all of this, and what of the social stigma that may result for those held back because they are not “bright enough”?

Three bigger questions:

  • Firstly, there is the argument that by focusing on mastering the component parts of a subject, the wider learning is lost, for example the cultivation of critical thinking and problem-solving skills. In addition, attaining genuine mastery for all learners within a given timeframe poses challenges where the demographic is more diversified in terms of learning styles, backgrounds, and abilities.
  • Secondly, how do we really know if a subject has been learned, let alone mastered. Although someone might have moved to the next topic having scored 92% 3 months earlier, what if the test itself wasn’t sufficiently robust for the level of understanding required at the higher level?
  • And lastly, we know that as we progress our tendency to forget increases, unless of course that original information is revisited, think here about the forgetting curve. While the speed at which we forget varies greatly, the consistent observation from decades of research is that, with time, we inevitably lose access to much of the information once retained.

Now there are answers for most of these, however there is the potential for well-meaning organisations to promote so called “mastery courses” when in reality they are fundamentally flawed.

What does this all mean
For learners – Mastery is compelling and should be kept in mind when studying. Going back over something to make sure you understand it will not only reinforce what you already know but builds a solid base from which to move forward. However, there will be times when you don’t fully grasp something and time runs out, leaving you no alternative but to move on. The secret here is not to worry, it might be that this particular piece of knowledge or skill is not required in the future and if it is, you can always go back and learn it, again!

For educators – Mastery is certainly something worth pursuing but be careful, it’s very easy to get caught up in the ideal and create something that looks like it’s working but it’s not because of a lack of attention to the detail required to make this work in practice.

Unfortunately I couldn’t find anything about mastery from Roger Federer, but I’m sure he would wholeheartedly endorse this by a master with a different skill.

“If people knew how hard I worked to get my mastery, it wouldn’t seem so wonderful at all.” Michelangelo

Educational side effects – better decision making

Having a robust education system and well-educated citizens is a key objective for most governments. (World best education systems ) One reason for this is that an educated population is linked to economic growth, partly the result of higher levels of productivity and innovation. And this makes for a very compelling argument as to why governments believe education is important and worthy of investment. The UK spends between 4% – 5% of GDP on education.

But what about the individual, is it worth them investing both time and money in their own education and what of the benefits, do they outweigh the costs? To put this more bluntly, is it worth getting a so-called good education?

In terms of costs, in the UK between the ages of 5 to 18 attending school is compulsory but perhaps more importantly its free. Although not everyone wants something for nothing, the national absence rate for 2022 was 7.6%, well above the 4%-5% pre Covid figure. I am going to side step the question around the value of higher education, partly because its complicated and most people seem to agree that is worth the money, just about! But what are the benefits of a good education, this feels a little bit like asking what did the Romans do for us? How about it improves your social mobility, opens the door to new job opportunities and advancements in your career, improves levels of confidence and helps with the development of new skills. And I nearly forgot, highly educated people earn more money and actually live longer.

A good education   

Of course, education is good for you, but I want to pick out one benefit that might not be so obvious – a good education helps you make better decisions. This is a skill that is not only valuable in the workplace but also in life. Everyday people make lots of “micro decisions”, in themselves none are especially important but when combined they can dictate your future. We all need to be better at making decisions.

In 2018 Hyuncheol Bryant Kim, an associate professor at Columbia University set out to answer the question, does education improve economic rationality? Kim’s research proved that it did, he said “While we know that schooling has been shown in previous work to have positive effects on a wide range of outcomes, such as income and health, our work provides evidence of potentially additional benefits of education coming from improvements in people’s decision-making abilities.”

Just to be clear this doesn’t mean that all the decisions you make will be good ones, often this can only be judged with hindsight. It’s that a well-informed person is more likely to make a better decision than an ill-informed one.

Bad decisions (The Cobra effect) – During British rule in India, a bounty was placed on cobras to reduce their population. However, as a result people started breeding them for the reward, leading to an increase in the cobra population. Eventually the bounty was withdrawn which meant cobras had no value and were released into the wild.  

Decision making

Decision-making is the process of selecting a course of action from different alternatives to achieve a specific goal or solve a problem. We are talking here about a cognitive process, meaning it requires conscious thought and involves, gathering relevant information, evaluating available options, and choosing the most appropriate action. It worth saying that people are not inherently born as good or bad decision-makers. Instead, decision-making skills are developed and refined over time through a combination of educational, environmental, and experiential factors.

Bad decisions (ignorance) – The operators and decision-makers at the Chernobyl Nuclear Power Plant in Ukraine were unaware of the potential risks and lacked a comprehensive understanding of the reactor’s design. During a safety test, a series of poor decisions, coupled with a lack of knowledge about the reactor’s vulnerabilities, led to a catastrophic explosion that resulted in one of the most significant nuclear disasters in history.

There are a number of reasons that someone with a good education is more likely to make better decisions:

  • High levels of knowledge and skills – Having facts, data, knowledge, and skills that you can draw upon is going to help you make better decisions. Ignorance on the other hand can only lead to the exact opposite.
  • Developed critical thinking – Education, especially at higher levels, is associated with the development of critical thinking. The ability to analyse information, consider different perspectives, and make informed decisions is often enhanced through educational experiences.
  • Improved process skills – It provides individuals with the tools to process and analyse information effectively. This includes skills such as information literacy, research abilities, and the capacity to evaluate the reliability and relevance of data.
  • Understanding of risk – People with higher levels of education tend to be more adept at evaluating potential risks and benefits associated with different options.
  • Able to consider implications – Individuals with a solid educational foundation often have a better understanding of the consequences of their decisions and are more likely to consider future implications.

The side effects  

Please don’t think that this means well educated people are in some way better than less educated ones, they are not. Many of the world’s most dangerous and powerful people have had a world class education and yet make bad decisions. For example, President Richard Nixon’s cover up in the Watergate scandal or Dominic Cummings decision to take a drive with his family to “test his eyesight”, when he knew it was against the covid rules!

The point is that many people believe they succeed because of what they know, when in fact it is also because of the decisions they make, and that skill was learned, a side effect of a good education.

In simple terms – want to make good decisions “Go to school”.

Bad decisions (killing sparrows). As part of the Great Leap Forward in the late 1950s Chinas Mao Zedong launched a campaign to eliminate pests (including sparrows) that were believed to threaten crops. The decline in sparrows led to an ecological imbalance as they were natural predators of insects, including crop-eating pests and a significant decrease in agricultural output.

Want to make better decisions…here are a few interesting videos about how to do that.


Does learning make you happy?

This is going to be a difficult question to answer, not in terms of learning but in defining what happiness actually means, which is surprising given its probably the single most important objective most of us have and wish for others.

Happiness has also caught the attention of government with some considering its growth more important than GDP.

And did you know that there is a World Happiness Report and a World Happiness Day – it’s the 20th of March.

But as difficult as it is to define, we will need to try in order to figure out if learning can help make us happy.

Sorry about this but I think we need to explore a few of these terms in a little more detail. Feelings are conscious, subjective experiences that result from emotions. Pleasure is an enjoyable sensation or activity that brings immediate satisfaction, think eating something really tasty. Contentment is often a longer lasting sense of peace and acceptance of your circumstances, and satisfaction is the fulfilment of desires, needs, or expectations which lead to a sense of achievement.

It might also be worth adding that you can’t be happy all of the time, happiness is a transient state that fluctuates over time and throughout life.

But that just gives us a better understanding of the words, wouldn’t it be nice to know how you can increase your happiness? And for this we need to look into the work of Martin Seligman, known as the father of positive psychology. Seligman identified that happiness is not entirely down to you, he says that if happiness was measured on a scale of 1 to 100, the first 50% would be outside of your control, its genetic, you are effectively born a glass half-full, half-empty kind of person. Another 10% is affected by circumstance, such as getting a promotion or failing an exam. Only the remaining 40% is determined by your choices, what are called “voluntary variables,” these include how we perceive the world, expanding perspective and finding meaning to our lives and work.

He also developed a framework for understanding and promoting well-being and happiness. His model is known by the initials PERMA and identifies five essential elements:

  • Positive Emotions (P): Positive emotions, such as joy, gratitude, and love, are a fundamental part of wellbeing. They contribute to happiness and enhance overall life satisfaction.
  • Engagement (E): Engagement refers to the state of being fully absorbed and immersed in activities that align with your strengths and interests. It’s often associated with the concept of “flow,” where individuals lose track of time because they are so engrossed in what they’re doing.
  • Relationships (R): Positive and meaningful relationships with others are crucial for wellbeing. Connecting with others, offering and receiving support significantly contributes to happiness and satisfaction with life.
  • Meaning (M): Finding a sense of purpose, meaning, or direction in life is an important component for happiness. This involves understanding why one’s life matters and how it contributes to a greater purpose.
  • Accomplishment (A): Another factor to consider is achieving goals, setting and meeting challenges, learning new skills and competencies, all of which can lead to a sense of accomplishment.

PERMA should not be thought of as a formula for happiness, it’s a framework that has been helpful in guiding research and directing interventions aimed at improving the quality of life. Although the definition of happiness is useful, this framework provides some insight into the building blocks of happiness which will be used in the next section. Click here to watch Martin Seligman explain PERMA in more detail.

In summary, happiness is a positive emotional experience that results from how you feel about events and often involves the fulfilling of needs and ambitions. The PERMA model provides insight into the areas we can work on to become happier.

I appreciate this has been relatively detailed and you may need to read it a couple of times but I hope that it will provide a useful way of thinking about how learning might or might not help us feel happy.

But what about the money

You may have noticed that we have not mentioned money, largely because according to Seligman and others it’s not a key determinant of happiness. It might be a way in which you measure your accomplishments, “when I am earning £80,000 a year or have enough money to buy that new car, I will be successful”. Equally you may become incredibly engaged in earning lots of money, but that pile of paper in the corner will do little to put a smile on your face.

Learning and happiness  

In terms of the bigger picture there is a general consensus that education enhances life satisfaction and as a result some degree of happiness, at least indirectly via gaining key determinants of happiness such as better occupations, monetary rewards (see above) and improved health. But let’s consider a few specifics.

The neurological impact – What’s happening inside your brain when learning? Research using brain imaging techniques such as functional Magnetic Resonance Imaging (fMRI) has shown that learning something new can result in an increase in Dopamine which is associated with feelings of pleasure, reward and motivation. Also, if the learning is engaging and the task completed on time, it can provide a sense of achievement, which can release Serotonin, the “feel-good” neurotransmitter which contributes to positive emotions and mental stability.

If PERMA leads to happiness, it should be a useful exercise to use it to evaluate the benefits of learning.

  • Positive Emotions (P): Positive emotions such as curiosity, interest, and enthusiasm can naturally emerge when learning, although you may need to foster a positive “I can do attitude” first.
  • Engagement (E): Engagement in learning is a natural outcome of a positive and enjoyable learning experience. When learning is engaging, individuals become fully absorbed in the subject, you can get into the “flow,” which makes it easier to grasp and retain new information.
  • Relationships (R): Something that can easily be overlooked is that learning often results in valuable relationships that develop when collaborating with peers, teachers and mentors. Positive relationships provide opportunities for feedback, support, and different perspectives, all of which help you to learn more effectively.  
  • Meaning (M): Finding meaning in the subject matter or the learning process is a powerful motivator. When you understand the significance of what you’re learning and how it will help you achieve your personal goals, there will be a greater sense of satisfaction that your efforts are worthwhile.
  • Accomplishment (A): Setting and achieving learning goals can be highly rewarding. As you make progress in your learning journey there can be a great sense of accomplishment as well as the development of mastery. This sense of achievement boosts confidence and self-efficacy, which only adds to a feeling of satisfaction and ultimately happiness.

Well, what do you think, does learning make you happy? I think so……but remember happiness is not a constant, so don’t expect to be smiling all the time, especially when you have decided not to go out, prioritising a night in with the text book instead!!

Motivated ignorance – is ignorance better than knowing?

If it’s true that the cat wasn’t killed by curiosity and that ignorance was to blame (see last month’s blog) then it follows that we should better educate the cat if it is to avoid an untimely death. But what if the cat chooses to remain ignorant?

Ignorant – lacking knowledge or awareness in general; uneducated or unsophisticated.

In a paper published last February, Daniel Williams puts forward a very challenging and slightly worrying proposition, that when the costs of acquiring knowledge outweigh the benefits of possessing it, ignorance is rational. In simple terms this suggests that people are not “stupid”, or ignorant, when they are unaware of something, they are in fact being logical and rational, effectively choosing not to learn.

“Facts do not cease to exist because they are ignored.” – Aldous Huxley

Beware the man of a single book St. Thomas Aquinas
In terms of education this is clearly very important, but it has far wider implications for some of the challenges we are facing in society today. There is an increasing divergence in opinion across the world with people holding diametrically opposite views, both believing the other is wrong. We can probably attach personas to these groups, on the one side there are the knowledgeable and well educated, on the other those who may not be in possession of all the facts but trust their emotions and believe in community and identity. The two groups are clear to see, those that believe in climate change and those that don’t, Trump supporters and anyone but Trump supporters, take the vaccine or anti-vaccine.

The stakes could not be higher.

“Ignorance is a lot like alcohol. The more you have of it, the less you are able to see its effect on you.” – Jay Bylsma

Motivated ignorance
The idea that choosing to be ignorant could be both logical and rational is not new. In his book An Economic Theory of Democracy first published in 1957 Anthony Downs used the term “rational ignorance” for the first time to explain why voters chose to remain ignorant about the facts because their vote wouldn’t count under the current political system. The logic being that it was rational to remain ignorant if the costs of becoming informed, in this case the effort to read and listen to all the political debate outweigh the benefits, of which the voters saw none.

“If you think education is expensive, try ignorance.” – Robert Orben

Daniel Williams is making a slightly different point; he argues that motivated ignorance is a form of information avoidance. The individual is not remaining ignorant because the costs of obtaining the information are too high, they are actively avoiding knowledge for other reasons. He also goes on to say that if you are avoiding something it follows that you were aware of its existence in the first place, what the US Secretary of Defense Donald Rumsfeld so eloquently referred to as a known unknown.

We need one final piece of the jigsaw before we can better understand motivated ignorance, and that is motivated reasoning. Motivated reasoners reach pre-determined conclusions regardless of the evidence available to them. This is subtly different to confirmation bias, which is the tendency to only notice information that coincides with pre-existing beliefs and ignores information that doesn’t.

If motivated reasoning is the desire to seek out knowledge to support the conclusions you want, motivated ignorance is the opposite, it is the desire to avoid knowledge in case it gives you the “wrong” answer. For example, although you might feel ill, you avoid going to the doctors to find out what’s wrong because you don’t want to know what the doctor might say.

The question that we should ask is, why don’t you want to know the answer? The implication here is that something is stopping you, in this instance perhaps the emotional cost of the doctor’s prognosis is greater than the gain. Similar examples can be found in other domains, the husband who doesn’t ask as to his wife’s whereabouts because he is afraid, she is having an affair, and doesn’t want it confirmed, although in reality she might have just been late night shopping!

“If ignorance is bliss, there should be more happy people.” – Victor Cousin

The idea that we should always seek out knowledge to be better informed clearly has its limitations and that far from being illogical motivated ignorance has some degree of rationality.

What have we learned?
Human beings do not strive to answer every question nor have within their grasp all the knowledge that exists. We are selective based on how much time we have available, how we might like to feel and, in some instances, the social groups we would like to belong. There is always a sacrifice or trade-off for knowledge and sometimes the price might be considered too high.

The answer to ignorance is not to throw more information at the problem in an attempt to make the ignorant more enlightened. If you don’t believe in climate change, not even a well-crafted documentary by David Attenborough is likely to help If the motivation for choosing ignorance is not addressed. This over supply of information was evident in the Brexit debate here in the UK. For those who had “made up their mind”, providing very powerful arguments by equally powerful captains of industry as to why leaving Europe was a bad idea failed to educate because most chose not to listen.

The role of education and learning has to be inspiration and curiosity, we need to get closer to those underlying motivational barriers and break them down. We have to help people appreciate the feeling you get as a result of challenging your views and coming out the other side with a better and possibly different answer. There is a need to move away from the competitive nature of right and wrong and the idea that changing your mind is a sign of weakness.

“When the facts change, I change my mind. What do you do, sir?”- attributed to J Maynard Keynes

And maybe we have to accept that although there is a price to pay whatever it is, it will be worth it.

“no people can be both ignorant and free.” – Thomas Jefferson

Storytelling – The cave

telling stories

There is a lot written today about the power of storytelling and how it can help persuade, influence and of course educate. Stories come in many shapes and sizes, sometimes they are true, but might be embellished, sometimes they are not true but include powerful messages hidden in the form of metaphor or allegory.

The simplest definition of a story is that “one thing happens in consequence of another,” and it can engage, motivate and inspire. But cognitively the brain is working very hard forming connections, asking questions, creating images and helping offer up opinion.

“If you want your children to be smart, tell them stories. If you want them to be brilliant, tell them more stories.” Albert Einstein.

Below is an allegory, arguably one of the most important in the whole of western philosophy, but its message for educators and students is sometimes lost. It’s called Plato’s cave, read it carefully, thinking about what it might mean.

Plato’s cave
Plato caveAlthough Plato is the author, it is Socrates who is the narrator talking to Plato’s elder brother Glaucon.
The story told is of a group of people who from birth have been chained up in a cave with their heads fixed in one direction so they can only look forward. They face a cave wall on which they can see moving images, shadows that they believe to be reality. Socrates’s explains that when the prisoners, because that is what they are, talk to each other they discuss the shadows as if they were real. But they are an illusion, created by shadows of objects and figures played out in front of a fire, manipulated by the puppeteers.

Socrates goes on to say that one of the prisoners breaks free of his chains and is forced to turn around and look at the fire, the light hurts the prisoner’s eyes but as they adjust, he can see the fire and the puppets he had believed to be real. He doesn’t want to go any further fearing what it might bring but once more is forced to go towards the mouth of the cave and into the blazing sunlight.

At first, he can only look at the reflections because as with the firelight the sun is too bright but as his eyes adjust once more, he finally looks at the sun, only then “is he able to reason about it” and think what it could mean. His thoughts are interrupted by the sorrow he feels for his fellow prisoners who have not seen what he has, have not learned the truth. So, he goes back into the cave to tell them everything. But when the prisoners look at him, they see a man stumbling, strained, no longer able to see in the dark cave. But worse when he begins to explain they think him dangerous because what he tells them is so different to what they know.

The prisoners do not want to be free, the effort is too great, the pain and apparent disability sufficient to stop them trying. They are content in their own world of ignorance and will fight anyone who wants to change that.

But what does that mean?
The answer of which should be, well what do you think it means? But sometimes you just don’t have time for that answer so here is one interpretation, it’s worth pointing out there are many.

  • The puppeteers are those in power or authority. They prefer it if people don’t ask questions, remain content and are not causing trouble.
  • The fire is knowledge and wisdom.
  • The prisoners are society.
  • The escaped prisoner is the student. The student who through education escapes and finds answers.
  • The person that frees the student and drags him towards the light is the teacher.

If we put this all together, it gives us an insight into learning that has remained unchanged since Plato wrote the Republic in which this story sits in 514a–520a.

Learning is not easy, it can be difficult and hard work. Some people are happy to remain as they are, ignorant, after all it’s not pleasant having your beliefs challenged and finding out that what you thought was true in fact isn’t. Teachers can help take you towards knowledge and learning but you need to want it for yourself, and once you have knowledge you can’t go back to what you were before, education will have changed you forever.

To find out more about the power of stories watch this video – The rules to telling a story by the Filmmaker Andrew Stanton (“Toy Story,” “WALL-E”)

Plato’s cave at the movies

The Matrix and Plato’s Cave – Neo meets Morpheus and explains he is a slave

The Truman Show – Truman shows bravery by going towards the light

 

Case study – Omelettes and Cognitivism

1774_making_summer_sausage_omelette

If you have actually got as far as reading this first paragraph, there must have been something in the title that caught your attention. Perhaps you were simply curious as to how these three words are connected, or maybe one of the words relates to something you are interested in?

Whatever the reason, you have begun to process information and so engage in cognition, put more simply, you have started to think.

Making an omelette

But first a question, take a moment and think about how you make an omelette? ……….Then in your own words, explain how you would do this? ………. As you might imagine this is not about the omelette but the process you went through in order to answer the question.

The process – There was clearly an element of memory and recall as you thought back to the time when you last made an omelette, you would also have needed to direct your attention to the event itself and use strong visualisation skills, to see yourself actually whisking the egg, adding the salt and pepper etc. However so sophisticated is the human mind you can actually create images of making an omelette based on your knowledge of scrambling an egg! The point being, you have the ability to visualise activities of which you have no or little experience. The mental processes outlined above go some way to explaining Cognitivism. Cognitivism in learning is the study of how information is received, directed, organised, stored and perceived in order to facilitate better learning. Cognitivist believe that mental processes should be studied in order to develop better theories as to how people learn.

Case study is higher level

As you progress up the exam ladder the style of examination question changes. It starts with relatively simple activities that require you to recall something already taught e.g. what is the capital of France? It then moves to questions that test understanding, e.g. explain why Paris is the capital of France? At higher levels you will ultimately come across, Application, Analyse and Evaluation, and it is these higher level skills that a case studies often requires you to master.

I have written about case studies before, firstly, Putting the context into case study and secondly Passing case studies by thinking in words. Here I want to explore how by understanding how people think  (Cognitivism) you can develop strategies to help you answer what seem to be impossible questions.

Application of knowledge

Imagine you have been given a case study that has a large amount of information about the company, the people and the financial position. You have been asked to offer advise as to how the company should improve its internal controls within the HR department. Even though you may not think you know the answer, the process outlined above will give a framework to follow.

  • Firstly, focus your attention on the key words – internal controls and HR deportment
  • Secondly, recall any information you have about internal controls and HR departments
  • Thirdly, deploy strong visualisation skills, seeing yourself in that company, bringing in as much detail as possible to give context, and then use common sense
  • Finally write out your answer – Say what you see, talk through how you would do it, mention some of the problems you might experience and outline the possible solutions

These are cognitive strategies developed from learning more as to how people think, why not give them a go?

And here is how to make an omelette from my favourite instructor, Delia – yet another practical tip, remember last month it was how to make toast.