How can we use AI effectively to create educational content? During this online event presenters shared their strategies and tips for integrating AI tools to enhance creativity, amplify educational impact, and create immersive learning experiences. This event also provided a platform for discussing the practical applications and potential benefits of AI in crafting engaging educational content.
Moderator: Andy Thys, KU Leuven, Belgium
GenAI @King’s College London
Presenter: Martin Compton, King’s College London, UK. (Presentation)
Key takeaways:
- Why is a machine doing that?
- What do you lose and what is gained?
- Does it enhance, add and/ or improve workflow?
- Find your ‘thing’
Article “Generative AI in Higher Education” ⤵️
From AI Guidelines to Teacher Training
Presenters: Janne Länsitie & Lotta Pakanen, Oulu University of Applied Sciences, Finland
What can educators and students do with AI?
101 creative ideas to use AI in education
Presenters: Sandra Abegglen, University of Calgary, Canada & Maria Pavlopoulou, University of Leeds, UK
Summary
- Surge in Educational AI Interest:
This year witnessed a significant upswing in interest in Generative Artificial Intelligence (GenAI) for education, encompassing
teaching, learning, support, assessment, and research, with educators eagerly exploring and experimenting with emerging tools and
practices. - Democratisation of AI:
Advances in computing power and Large Language Models, coupled with the open education movement, have made GenAI more
practical and affordable. This has expanded access beyond tech giants and research institutions, allowing educators and students to
actively use and engage with GenAI technologies. Yet, there are unresolved issues such as how information is harvested, used, and
generated. We argue that achieving a more distributed ownership and wider community involvement is crucial for making GenAI
equitable. - Global Collaboration in GenAI Education:
Academics from Higher Education in the UK, Canada, and Greece, part of the #creativeHE community, united to experiment with
GenAI and share early explorations openly. Their collaborative effort resulted in a crowd-sourced, open-access book featuring 101
creative AI ideas in education, showcasing contributions from 18 countries.
Article “101 creative ideas to use AI in education”. ⤵️
Project Launch ➡️TaLAI
Presenter: Tanja Tillmanns, FAU, Germany
More information about the TaLAI project can be found here.
🎥 Event recording 🎥
Some questions from the audience
Hi Martin, how do you check for errors in transcripts, and does this defeat the convenience? Any pointers on how to get the highest degree of accuracy?
- Martin Compton, KCL: check for jargon and names accuracy mostly
Janne – is the thinking on the policy to be open and transparent about use? Some ownership on the individual using it?
- Janne Länsitie, Oulu University of Applied Sciences (Finland): “Certainly open and transparent. There are a lot of questions from different programmes such as journalism. When do the journalist put their name under the piece they have produced? When does it become theirs?”
@Martin Compton, KCL Martin, When making things like the podcast from an article, does the AI ever add information or interpretations of the article that are incorrect?”
- TL:DR? King’s guidance on GenAI in AI auto-podcast format -> https://mcompton.uk/2023/11/24/tldr-kings-guidance-on-genai-in-ai-auto-podcast-format/
At the start of the event we asked participants to answer 2 questions ⤵️
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Education and Culture Executive Agency (EACEA). Neither the European Union nor the granting authority can be held responsible for them.
