Category Archives: Learning technologies

Mobile phones for learning – The world in your pocket

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The statistics are striking, there are 5.44 billion mobile phone users in the world, that means that 68% of the world’s population have one. 92.3 % use their phone to go online at least some of the time, and mobile phones now account for more than 56.9 % of our online time.

This is according to Datareportals Digital around the world report 2023. It means that pretty much everyone in the West will have a mobile, as will most people studying over the age of 10. I say 10 because a recent BBC report stated that in the UK smartphone ownership rises from 44% at age 9 to 91% by the age of 11.

This means we have access to the world in our pocket and as a consequence the worlds knowledge.

“Mobile phones are misnamed. They should be called gateways to human knowledge. Ray Kurzweil, computer scientist.

Mobile phones and learning
We might have access to the worlds knowledge but as readers of this blog will know, having knowledge is not the same as learning. To solve this conundrum we need to start thinking of the mobile phone as a domain, a place to go when you want to learn, and less as somewhere that simply stores knowledge. As an analogy, If a book is knowledge, the library is the domain. But as a learning domain the mobile phone has limitations in particular in terms of screen size, the implication being learning has to be designed to be effective on a small screen.

But aren’t mobile phones bad? – Before exploring how we might improve the way we use mobile phones for learning we should probably address some of the concerns many have about them. They can become additive which perhaps unsurprisingly has been proven to result in lower grades. In addition they are a distraction, this study concluded that there was “a significant negative relationship between total time spent using smartphones and academic performance”. However, the researchers went on to say that having a mobile in class was not in itself the problem, it’s how and when it was used. The learning loss is more a result of us not being wired to multi task, and whilst we may think we can check a message on our phone and pay attention, we can’t.

“Smartphone is definitely smarter than us to be able to keep us addicted to it.” Munia Khan, author.

This brings us to one of those often-quoted statements, that technology is neither good or evil, its how people choose to use it. Also, I’m talking here not so much about a mobile devise used in and around the classroom but very much outside of it. Even to the extent where there is no classroom and studying is completely remote and online.

Mobile first learning
Luke Wroblewski who is now a Product Director at Google came up with the idea of mobile first in 2009. The concept is simple, you should design for the mobile platform first and then scale the experience for use elsewhere. It has led to a whole series of instructional design ideas:

  • Keep content short and focused (microlearning) – We have come across the concept of chunking before and it is implicit that if you want content that is short and focused it has to be chunked. The idea is that by keeping each segment short it allows the learner to complete some of the lessons in just a few minutes as well as reducing cognitive load.
  • Design for the small screen – Content layout, graphics, and text should all be imagined in terms of what they will look like on a mobile devise.
  • Build in social features – Mobile is dominant in the social space, very few people use anything other than a mobile to communicate with friends, think Snapchat, What’s App and Instagram. Any learning domain should certainly include a space where learners can share ideas and keep in touch.
  • Gamification/Game Mechanics – One of the problems with online learning in general is maintaining engagement, but games and gamification, the use of points, badges and leader boards are excellent in terms of holding attention and were made for mobile devises.
  • Virtual and Augmented Reality (VR & AR) – In the last three or four years, VR and AR have found their way onto mobile devices and into the wider online learning space. And although VR works best with a headset, AR is a good fit with mobile, allowing us to view the real world through a mobile screen whilst the technology augments what we see, bringing in new information and ideas. Examples would include Pokémon but more recently IKEA have developed IKEA place where you can overlay pictures of furniture into your own home and in education, look directly inside the human body to learn more about the anatomy.

 Learning in the flow of learning…….

“You can’t teach people everything they need to know. The best you can do is position them where they can find what they need to know when they need to know it.” Seymour Papert, mathematician, computer scientist, and educator.

Lessons for learners
A mobile phone is an amazing technology, its effectively a wearable devise that you take everywhere. It makes it possible to access huge amounts of knowledge that if structured properly using good instructional design can be a very effective way to learn. There are also so many different ways in which this knowledge can be consumed in addition to a full course for example podcasts, videos, specific apps such as Duolingo, short tests, and quizzes. However not everything works well on a mobile, reading large amounts of text on a small screen is difficult, takes more time, is not especially engaging and there is some evidence to prove it lowers reading comprehension.

Your mobile can be used to learn outside of the classroom ultimately because it makes learning both convenient and accessible, but one word of warning, don’t forget whose in control!

“It is okay to own a technology, what is not okay is to be owned by technology.” – Abhijit Naskar, Mucize Insan, Neuroscientist and author.

The Metaverse and Learning – Blue or Red pill?

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Getting to grips with the Metaverse is one thing, attempting to figure out if you should take the blue or red pill and enter it as either a learner or educator is another. Which is my way of saying, this is a big, complicated gnarly subject and getting a definitive answer highly unlikely, partly because the Metaverse doesn’t exist just yet and as a result we have little or no evidence to prove its effectiveness either way.

However, maybe we could get some insight by looking at the component parts and imagining its potential.

A Virtual world
Although we need to define the Metaverse, to help better understand it let’s start with what a virtual world is. Here is what Stanford University have to say “A virtual world is a computer-simulated representation of a world with specific spatial and physical characteristics, and users of virtual worlds interact with each other via representations of themselves called avatars.” In 1994 Paul Milgram and Fumio Kishino explained how you get from a real environment (world) to a virtual one in four stages, firstly, the real one followed by Augmented (AR) then Virtual (VR), finally ending up in the virtual environment.

Reality may not be the best of all possible worlds, but it’s still the only place where you can get a decent steak. Woody Allen

The Metaverse is a virtual world that has transitioned from the real one using technologies like AR and VR but has as a result become something more. *The Metaverse does not simply combine the physical and virtual worlds, instead it is a continuity of the physical world in the virtual one, to create an ecosystem that merges both (Physical and virtual). In other words, it is a brand-new world that is as engaging and important as the real one. Mark Zuckerberg (Meta) says that it is a world of endless and interconnected virtual communities, where people can meet each other, work together, play games and more. He sees it as the successor to the internet, an invention that changed all lives by allowing people to be online (in a virtual world) from anywhere and for as long as they would like.

“In simplest terms, the Metaverse is the internet, but in 3D” – Ed Greig, Chief Disruptor, Deloitte Digital

Take a look at how Meta see education in the Metaverse and check out the original promotional video in which Mark Zuckerberg “appears” in order to introduce the world to his new creation.

Changes in the environment change behaviour
There is of course another aspect to being in a virtual world, it is a different environment, and because of that it can have an impact on what you do and how you feel. It is well recognised that spending time in nature, a different environment to the one I am in just now as I write this blog, helps with mental health problems such as anxiety and depression. We also know that in some instances the brain finds it difficult to differentiate between what is reality and what is imagined. When these two ideas are combined it becomes possible to understand how a realistic virtual immersive environment could change levels of motivation, confidence and even beliefs. After all, don’t people behave differently online when using social media tools such as Twitter, being unknown in a virtual world is like a cloak of invisibility, you can be whoever you want and say and do whatever you like without any consequence!

Learning in the Metaverse
In terms of learning, the Metaverse like many technologies or learning environments, is neither good nor bad. Whilst some are sceptical and express concerns about loss of identity, hate and cybercrime, security, and privacy, others are excited and want to take advantage of the learning opportunities, here are a few.

High levels of engagement – Much is made of the term “immersive” when talking about the Metaverse, it means that you are surrounded by and become part of the environment. This can be incredibly powerful when it comes to learning resulting in high levels of excitement, motivation and engagement.

Real life skill development – The metaverse provides a safe environment in which you can practice skill development. This is particularly valuable where mistakes can be made that might be upsetting or result in significant cost and even death. Here are a few examples from an article by the World Bank. Note this is not the Metaverse but examples of VR and games-based simulations that would be part of its ecosystem.

High risk – Pharmaceutical industry leader Novartis had to quickly train 100’s of people on best practice production and procedures for a new leukaemia treatment. They had limited physical training labs and subject matter experts to train people in skills where mistakes have life and death consequences.

Not so much life and death but perception, how to see the organisation through your customers eyes. This was the challenge facing Fortune 200 healthcare leader DaVita.

Developing soft skills – Practising communication, decision making and emotional intelligence.

A virtual University campus – A virtual campus has the potential to make a university experience available for everyone around the world. Meet likeminded people in the virtual world, discuss ideas and share ambitions, just like you would in the real world. Virbela have developed a Virtual campus that can be used for both education and or work-based interactions. The pandemic has shown that people can easily work from home, the Metaverse may have a significant role to play in the future of work as well as learning.   

Takes the learner into the world – I was going to say that the Metaverse has the ability to bring the world to the classroom when in fact it’s the opposite. Although human imagination is a powerful tool think how impactful it would be if you could begin by explaining in a classroom that T Rex roamed the planet during the late Cretaceous Period 65 million years ago and that they could be up to 12m long and 6m tall, but then ask your learners to come and meet one, made possible by VR – Click here to see how the American Museum of Natural History has brought T Rex to life.

The social dimension – Social media allows people to interact, transact, and share interests with others virtually (pun intended) regardless of where they live. The metaverse is social media but in 3D, for better or for worse.

Conclusions
The Metaverse could end up being the biggest white elephant of all time. Reality Labs, the division building the metaverse, lost £3.16bn between July and September this year. Mark Zuckerberg has said that he would invest $10 billion to $15 billion per year, but that it may take 10 years before it yields results. That’s an estimated $100B+ investment into an unknown future.

BUT it might be as Zuckerberg predicts become the next iteration of the internet, personally I would like to give it a chance because it has the potential to contribute to a new and exciting next chapter as to how we help people learn.

That said, I don’t think I would be putting any money into it just yet.

And for a more in-depth explanation, Donald Clark in discussion with John Helmer   VR & Metaverse with Donald Clark

The picture is obviously From the matrix – the blue pill will allow the subject to remain in the fabricated reality of the Matrix; the red serves as a “location device” to locate the subject’s body in the real world and to prepare them to be “unplugged” from the Matrix. Once one chooses the red or blue pill, the choice is irrevocable.

*Is Metaverse in education a blessing or a curse: a combined content and bibliometric analysis

Artificial Intelligence in education (AIEd)

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robot learning or solving problems

The original Blade Runner was released in 1982. It depicts a future in which synthetic humans known as replicants are bioengineered by a powerful Corporation to work on off-world colonies. The final scene stands out because of the “tears in rain” speech given by Roy, the dying replicant.

I’ve seen things you people wouldn’t believe. Attack ships on fire off the shoulder of Orion. I watched C-beams glitter in the dark near the Tannhäuser Gate. All those moments will be lost in time, like tears in rain. Time to die.

This was the moment in which the artificial human had begun to think for himself. But what makes this so relevant is that the film is predicting what life will be like in 2019. And with 2018 only a few days away, 2019 is no longer science fiction, and neither is Artificial Intelligence (AI).

Artificial Intelligence and machine learning

There is no one single agreed upon definition for AI, “machine learning” on the other hand is a field of computer science that enables computers to learn without being explicitly programmed. The way it does this is by analysing large amounts of data in order to make accurate predictions, for example regression analysis does something very similar when using data to produce a line of best fit.

The problem with the term artificial intelligence is the word intelligence, defining this is key. If intelligence is, the ability to learn, understand, and make judgments or have opinions based on reason, then you can see how difficult deciding if a computer has intelligence might be. So, for the time being think of it like this:

AI is the intelligence; machine learning is the enabler making the machine smarter i.e. it helps the computer behave as if it is making intelligent decisions.

AI in education

As with many industries AI is already having an impact in education but given the right amount of investment it could do much more, for example

Teaching – Freeing teachers from routine and time-consuming tasks like marking and basic content delivery. This will give them time to develop greater class engagement and address behavioural issues and higher-level skill development. These being far more valued by employers, as industries themselves become less reliant on knowledge but dependant on those who can apply it to solve real word problems. In some ways AI could be thought of as a technological teaching assistant. In addition the quality and quantity of feedback the teacher will have available to them will not only be greatly improved with AI but be far more detailed and personalised.

Learning – Personalised learning can become a reality by using AI to deliver a truly adaptive experience. AI will be able to present the student with a personalised pathway based on data gathered from their past activities and those of other students. It can scaffold the learning, allowing the students to make mistakes sufficient that they will gain a better understanding.  AI is also an incredibly patient teacher, helping the student learn from constant repetition, trial and error.

Assessment and feedback – The feedback can also become rich, personalised and most importantly timely. Offering commentary as to what the individual student should do to improve rather than the bland comments often left on scripts e.g. “see model answer” and “must try harder.” Although some teachers will almost certainly mark “better” than an AI driven system would be capable of, the consistency of marking for ALL students would be considerably improved.

Chatbots are a relatively new development that use AI.  In the Autumn of 2015 Professor Ashok Goel built an AI teaching assistant called Jill Watson using IBM’s Watson platform. Jill was developed specifically to handle the high number of forum posts, over 10,000 by students enrolled on an online course. The students were unable to tell the difference between Jill and a “real” teacher. Watch and listen to Professor Goel talk about how Jill Watson was built.

Pearson has produced an excellent report on AIEd – click to download.

Back on earth

AI still has some way to go, and as with many technologies although there is much talk, getting it into the mainstream takes time and most importantly money. Although investors will happily finance driverless cars, they are less likely to do the same to improve education.

The good news is that Los Angeles is still more like La La Land than the dystopian vision created by Ridely Scott, and although we have embraced many new technologies, we have avoided many of the pitfalls predicated by the sci-fi writers of the past, so far at least.

But we have to be careful watch this, it’s a robot developed by AI specialist David Hanson named “Sophia” and has made history by becoming the first ever robot to be granted a full Saudi Arabian citizenship, honestly…..

 

The 5 top EdTech trends – summer of 2017

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Glastonbury a marginally more interesting gathering….but only just.

We are in the season when many learning and technology leaders gather to discuss what’s new and what’s trending in the world of education. And at two recent conferences, Learning Technologies and EdTechXEurope there was plenty to see. Generally, the role of technology in learning seems to have found its place with many acknowledging it should support learning not drive it. However it’s still very easy to look at the latest shiny new offerings and think, this is great how can I use it, rather than, what learning problem does it solve.

Here are a few of the most notable developments.

1. Video is getting even better – fuelled by the YouTube generation of learners, those who would rather watch a video than read a book as a means to consume knowledge, we have some new developments.

Firstly, using video to deliver micro learning.  Not just small chunks of video but untethered, JIT, 3 minute courses that offer the learner digestible easy to remember information. Think of micro learning as a series of very short courses that could be linked to each other or not, and can even include assessment.

Secondly, interactive video. TV is no longer the all commanding medium it once was, it like other technologies has had to evolve. In recent years the shift has been towards better engagement, offering spin off programmes where there is a live audience, web sites that showcase the backstory to the characters and programmes that require the audience to vote and so influence events. Now we have interactive video, where the individual can choose what they would do and so change the future. Check out this amazing example, used by Deloitte to attract new talent.

2. Gamification is becoming better understood. For the uninitiated gamification is the use of game based principles to improve motivation, concentration and more effective learning. Gamification uses Points (P) as a measure of reward, Badges (B) as a visual record of success, and leader boards (L) to create competition.

We now believe Dopamine, the pleasure induced neurotransmitter (chemical) is not created as a result of a reward e.g. by being given a badge, it is the challenge and subsequent achievement that releases the dopamine which in turn leads to pleasure. This might seem obvious, with hindsight, no one gets pleasure from being top of a leader board, if they did nothing to get there.  In addition, dopamine is released when you have a new experience, so think about changing pathways, setting different questions and tasks, it’s certainly not very motivational to go over the same content again.

3. Information overload is leading to a need for Knowledge Curation – we are living in an age where  information is abundant. You can learn anything from the internet. But there lies the problem, we have too much information, we suffer from information overload. Curation is the collecting and sorting of meaningful content around a theme, and it is now in some instances being thought of as more valuable than the content itself.

Arguably curation is not so much about what you curate and share but what you don’t share. In addition to the organisation of content the curators need to have an expertise in the subject and an understanding of their audience and what they want.

Steven Rosenbaum in his book Curation Nation, offers up a good summary. “Curation replaces noise with clarity. And it’s the clarity of your choosing; it’s the things that people you trust help you find.”

4. The market is becoming more accepting of user generated content (UGC) – organisations are beginning to see the benefits of UGC for a whole host of reasons. It’s a very fast way of generating content, there is a lot of expertise that can be uncovered by allowing individuals to share what they know, it’s often user friendly, and importantly its cheap. It is of course not perfect, and there are concerns about quality, but by allowing the users to rate the content, the quality might just look after itself.

5. Virtual reality (VR), Augmented Reality (AR) and Artificial intelligence (AI) – not that these are all related, but just a simple way of me summarising three areas to keep an eye on in the not too distant future. All of these technologies are becoming cheaper, largely because of the investment made and experience being gained in the gaming industry.

By way of a footnote Google have released an open source software called Tensorflow which can help with machine learning, something that they believe will help drive new initiatives in AI.