Speaker
Description
Artificial intelligence is one of the most talked-about developments in higher education, but how does it actually work within Moodle? This session shares lessons learned from an instructional design team that has been testing AI tools and integrations in real Moodle courses.
We will provide an overview of the testing process, including the types of AI tools evaluated, the methods used to assess their effectiveness, and the challenges encountered along the way. The session highlights both the potential benefits of AI—such as streamlining content development and supporting personalized learning—and its shortcomings, particularly around accessibility, transparency, and academic integrity.
Participants will leave with a clearer understanding of the current landscape of AI in Moodle; what it can realistically achieve, where it falls short, and how to make informed decisions about using it in their own teaching. Rather than focusing on hype, this session emphasizes practical insights and evidence-based reflections that educators can immediately apply when considering AI integration in their courses.
| 発表日の希望 / Preferred Day | 2月28日（土）/ February 28 Saturday |
|---|---|
| MAJ R&D Grant | いいえ |
