All entries for Monday 12 June 2023
June 12, 2023
By Matt Lucas and Isabel Fischer (WBS)
Matt Lucas is a Senior Product Manager at IBM, and Isabel Fischer is an Associate Professor (Reader) of Information Systems at WBS (Warwick Business School). Isabel also co-convenes an IATL (Institute for Advanced Teaching and Learning) module. This blog represents their own opinions and not those of their employers.
After two terms of including generative AI (GenAI) in my teaching and for assessments I am still building my knowledge and understanding around the pedagogy of using GenAI. Students seem to like the entertainment of playing around with music and art (e.g. DALL.E 2 and midjourney), creating images and also memes, with all of these being user-friendly for big screens and also for huddling around one laptop as part of teamwork. Text-outputs seems less intuitive for ‘collective use’: There does not seem to be yet an app available that allows for hands-on collaborative refinement of prompts (e.g. similar to students working on the same Google doc). And displaying a string of words on a shared screen clearly does not have the same entertainment value for students as ‘customers and consumers’.
In addition to a lack of entertainment value I also found that students seem to actually appreciate word-based GenAI (e.g. ChatGPT and Bard) as ‘their secret tool’ at their disposal and for them to use. They appear to appreciate it, if lecturers show them the exact prompts that they can copy that allows them to make the most of ‘their secret tool’. They seem less keen about having to be transparent about using the tool themselves and having to justify and critically reflect on usage. It not only means additional work, more importantly, they dislike the thought of the tool’s hidden power being exposed. They appear even less keen for lecturers to use GenAI for the lesson preparation and to be transparent about it because otherwise, what is the ‘perceived added value’ of attending the lecture if they could have just reviewed GenAI?
With this in mind, what are the skills that students can learn from using GenAI in the classroom and in assessments?
In the attached blog Matt Lucas and I suggest that by including innovative aspects into assessments, students can learn and practise four skills that are relevant for their future careers in a world disrupted by AI:
Cognitive flexibility, abstraction and simplification
Curiosity, including prompt engineering
Personalisation, reflection and empathising to adapt to different audiences
Critical evaluation of AI
For each of the four skills we explain in the attached blog the relevance for student learning with some illustrative examples, before outlining how we have incorporated these four skills into students’ assessments in the recent term.