Are you curious about how universities and staff are leveraging AI to revolutionise teaching and learning? During this interactive online sessions we explored different policies, practical applications, gained insights, and advice from the frontlines.
AI in Education
Presentation by Jane Mahoney, University of Groningen, The Netherlands.
Key takeaways:
- Students need to learn processes before using AI to complete work; be responsible and ethical learners; use critical thinking skills to assess AI products against own capabilities
- Teachers need to be ready to change:
- curriculum & learning objectives;
- lesson plans & activities;
- think of the future
- Institutions need to prepare:
- policy
- accessibility
- teacher training
the two professors’ chatbot site:
Jane’s tools list for teachers, students, and researchers:
Responsible use of Generative Artificial Intelligence (KU Leuven)
Presentation by Lien Castelein & Steven Huyghe, KU Leuven, Belgium
Key takeaways:
- KU Leuven opts for a critical and responsible use of GenAI with a minimum of university wide guidelines to guarantee transparency, verification, respect and responsibility when GenAI is used by students, teaching staff and researchers.
- Guidelines for use of GenAI are aligned between research and education as well in how they were prepared, in how they are communicated and followed up.
- We adopt a wide range of support strategies within a broad network about GenAI.
Links:
AI as co-creator for learning content production
Presentation by Markus Tischner, FAU, Germany.
- www.theresanaiforthat.com
- www.turoai.me
- www.minicoursegenerator.com
- https://help.h5p.com/hc/en-us/articles/8229514747805-Smart-Import-Introduction-and-Video-Tutorial
- www.suno.com
- www.podcast.adobe.com (Audio enhancement feature as online service)
- AI is a great source for inspiration and structuring “first content ideas”. And it helps with “optimizing media”. So AI helps to produce more content with a higher media quality in shorter time.
- But: For the main creation process for learning content in higher education – in between “first ideas” and “media postproduction” – educators are still needed, because professional learning content needs to match learning goals and assessment requirements exactly.
- Practical examples show, which tasks could be done way more efficient with AI helpers and at which points educators are absolutely necessary.
Evaluating learning & performance with video, data and AI
Presentation by Serge de Beer, LearningTour, The Netherlands.
Recording 🎥
Intro poll
Co-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.
