GenAI for Gen Z: Rethinking studying with GenAI

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

Anyone falling into the Gen Z category would have been born between 1997 and 2012, meaning they range in age from 13 to 28. They are the first true digital natives, having grown up with the internet, smartphones, and social media as integral parts of their lives. This constant connectivity has shaped their worldviews, making them, in theory tech-savvy, innovative, and quick to adapt to new digital tools and platforms.

Gen Z is at the forefront of Generative AI adoption (GenAI), with high usage rates across various platforms. Whilst it’s hard to get exact numbers especially those of school age, a poll undertaken by the Higher Education Policy Institute, said that 88% of undergraduates had used GenAI over the past year,  and 25% said they had used AI-generated text to help them draft assessments. Most however “said” they were using ChatGPT and similar tools to explain concepts, summarise relevant articles or suggest ideas.

67% agreed that it was essential to understand how to use AI and yet only 36% said that they had received support from their university

Like it or not GenAI is becoming an integral part of learning, studying and assessment. And that’s why there needs to be more guidance on its use, welcome to this month’s blog – Rethinking studying with GenAI.

Tasks not Tech
The common mistake people make with technology, in this instance GenAI is they get caught up with what it can do and start to look for ways they can use it. This is perfectly logical, but not the best approach – it’s a great example of:

Far better is to identify a specific task and decide how you might save time without reducing the effectiveness of learning. For example, using GenAI to generate ideas for an essay is time consuming, and whilst it could be argued that you can learn from almost any activity, generating ideas does not significantly improve learning. Contrast this with actually writing the essay. This also takes time but the learner will have to structure their thoughts, challenge ideas, and produce an answer that not only makes sense to them but to others. It is this type of mental gymnastics that helps people learn and should never be substituted by GenAI.  

Using GenAI to study more effectively
Here are some of the best ways of transforming your study approach by leveraging GenAI. Importantly, these methods are designed to enhance learning without compromising the depth and quality of understanding. Note Generative AI (GenAI) is a type of artificial intelligence that creates new content. A GPT is a specific kind of GenAI e.g. ChatGPT and Claude.

1. Planning

  • Personalised Study Planning – Use ChatGPT, Claude etc to create a tailored study timetable based on exam dates and your personal strengths and weaknesses. This can be as detailed as you like, but because it’s personalised the GPT could for example allocate more time to the areas you find more difficult. Another level of sophistication might be to prioritise your time on the more examinable topics.
  • Identifying examinable areas – Analysing past papers and reading examiners guidance and reports has long been a top study tip. This is an ideal task for a GPT, get the prompt right and it will even put it into a table for you.

2. Reducing cognitive load (information overload)

One of the challenges in learning is coping with the large amounts of information you need to learn. GenAI can help by:

  • Chunking content – This is a hugely effective technique, just ask the GPT to break down complex ideas into smaller, digestible parts.
  • Filtering information – A lot of time can be spent reading documents not really learning because you are only skimming looking for key words or phrases. GPT’s are excellent at extracting key information from documents, videos, and even discussions.
  • Visual aids – A picture paints a thousand words, ask the GPT to provide information in different formats for examples a diagram, chart, table, or mind map.

3. Summarising

This is similar to chunking but more specific, all you need to do is add more guidance when designing the prompt. This is not about reducing content, but capturing the essence of what is being said.

  • Summarising large amounts of text or articles – Asking a GPT to summarise an article may be a little vague. Be more specific, by stating how many words you want it to use or asking it to focus on five key areas. You can also ask it to summarise the information in a style easier for the individual to consume, perhaps for someone with dyslexia.
  • Note taking from video – In addition to YouTube, many organisations now offer video recordings of lectures, webinars, and presentations that can be watched later. A GPT can scan the transcript and summarise the key points, even offering alternative explanations if it was not clear.
  • Forum conversations – Whilst a forum is an excellent way of engaging with others, it’s possible you don’t have the time. A GPT can easily summarise a thread picking out the main points.  

4. Improving understanding

  • Breaking down complex topics – Although this also reduces cognitive load, breaking down complex topics is an excellent way of helping to gain a better understanding of a subject or topic. One of the bests ways to do this is by asking the GPT to break the problem down into a series of steps. You could also ask it to explain the topic to someone who has only recently started the course, or maybe even a 10 year old.
  • Ask questions – This is possibly the most popular use of a GPT, simply asking it a question. For example, what is the capital asset pricing model and can you give me an example? The best part is you can ask follow up questions if you don’t understand the first time.
  • Teach me – Why not ask the GPT to teach you the topic.  It might be easier to use one of the custom GPT’s that’s been specifically designed to do this, for example check out Universal Primer. Some of these can act as a coach and not simply give you the answer but ask you further questions to test your understanding and then provide feedback.

5. Creating study materials

One of the most powerful ways to use GPTs for studying is to generate structured, personalised materials tailored to your learning needs.

  • Flip cards – This can be time consuming but not for a GPT. They can generate question and answer pairs from textbooks, lecture notes, or past exam papers. For example, “Create 10 flashcards on Modigliani and Miller’s capital structure theory.”
  • Study notes and revision notes – Many learners struggle with condensing large volumes of information into digestible summaries. GPTs can simplify this process by extracting key points, breaking down complex ideas, and even adapting explanations to suit your level of understanding.
  • Mind maps – Mind maps help learner see relationships between concepts, improving comprehension and recall. GPTs can create structured outlines that you can easily convert into visual diagrams. For example, “Create a structured mind map for managing foreign exchange risk, including hedging strategies.”
  • Writing questions and designing quizzes – One of the best ways to test knowledge is through self-assessment. GPTs can generate quizzes tailored to your own study material, which can range from basic recall to complex scenario-based questions. For example, “Generate five exam style exam questions on interest rate risk, including one scenario-based question.”

6. Assessments and Feedback

This section highlights situations were using a GPT is not advisable, particularly when answering questions designed to test your understanding and promote learning. While a GPT can generate correct answers, it does not facilitate the deeper cognitive processes in the leaner for them to fully grasp concepts.

Another concern is that GPTs can occasionally produce answers that, although plausible, may be incorrect or oversimplified. This is especially problematic in technical subjects, where even small errors can lead to significant misunderstandings and hinder a student’s ability to apply knowledge accurately.

But they can be used to help

  • Plan the answer for your assessment – GPTs can be an invaluable tool for structuring and planning your response to an assessment. They can help you break down complex questions, identify key themes, and organise your thoughts logically, which can significantly improve the quality of your answer. However, it’s essential to use GPTs responsibly by focusing on the planning and brainstorming phase rather than relying on them to generate the entire response.
  • Providing feedback – A GPT can be a powerful tool for providing feedback, offering valuable insights to help improve the quality of your work. Whether you’re refining an essay, reviewing a problem set, or crafting a project, GenAI feedback can highlight areas that need attention, suggesting ways to enhance clarity, depth, and structure. However, it’s important to approach this feedback with a critical and reflective mindset to ensure it leads to genuine learning and improvement, rather than simply accepting it at face value.

Conclusions
This is not an exhaustive list, but I hope it has inspired you to explore these tools and use them responsibly. GenAI can be a powerful aid in helping you learn more effectively, from breaking down complex topics to enhancing revision and providing feedback. However, its true value goes beyond simply learning, by using GenAI thoughtfully while studying, you are also developing essential digital skills that will be increasingly important in the future of work.

Thinking in box’s – Cracking case study

Put it in a boxExaminations come in many shapes and sizes, short form, multiple choice, essay, case study etc. I know there are other methods of assessment but I am thinking here of the most common. Of these one stands out as being very different, the case study. Developed by Harvard in the 1920s the  case study involves giving the student a  real life, normally business situation and asking relatively broad Socratic type questions e.g. what do you think, why etc.

It not only puts the student in a realistic situation but also requires them to think far more deeply.  The cognitive process involved in answering a question such as what is the capital of France or can you add 2+2, on the whole is very simple and may need little more than memory. However giving student a real life business to analyse and asking them to give an opinion as to what the company should do next requires higher level thinking as well as effective communication skills.

Too much to read

One other aspect of a case study is that it often involves large amounts of narrative, all will need reading digesting and putting into context. On the face of it this can seem daunting, but it can be done and as with so many aspects of learning there is a process that can help. I have written about, having too much to read and the benefits of chunking before but I want to bring these together with another powerful technique “thinking in box’s”.

Thinking in box’s 

Volume and lack of direction is the main problem here, so we need to find our own direction and reduce the volume. Thinking in box’s refers to the natural process we have in compartmentalising thoughts. In order to make sense of the world we often put “stuff” into box’s, work, study, relationships etc. We can then open the box’s when we are best able to deal with them. The  point being that  we can’t deal with everything all at once. If this whole idea sounds a bit odd, then just consider the saying “Thinking outside the box”. This refers to the imaginary frame we put around something that restricts our ability to solve a problem and think more creatively. Strange isn’t it…..

Case study

Imagine that you have 10 pages of narrative to read based on a particular industry, a case study. There are a few sub headings and some paragraphing. You are required to provide guidance to the board of Directors as to what the companies strategy should be in the next five years.

The process 

In order to give the advice required by this question, you need to fully grasp the current situation, which means you have to  read, understand and comprehend what is written on the 10 pages. To add structure to the case firstly take chunks of content and put a frame around it, this will help focus just on this chunk of information, it also reduces the volume. A chunk will often be information under a heading or specific paragraphs. Once you have the content in a box, sift through it looking for the “key words” and underline them.  Focusing only on the key words but taking into account the context, ask yourself, what do I think about this? What does it mean, what is it telling me etc. Then write down your thoughts. Do this for every chunk of information, then number each chunk.

At the end of this process you should have read and thought about each chunk, captured those thoughts and have a numerical reference by which to structure them. The final part of the process is to read each of those chunks again and produce a SWOT. This brings all 10 pages down to just one. And by using the SWOT supported by your detailed analysis you should be able to give the advice required by the question.

watch_this_videoIn this short video I demonstrate the thinking in box’s approach.

      Thinking in box’s

And finally – A few words from Terry Pratchet

I will be more enthusiastic about thinking outside the box when there is some evidence of thinking inside it!