AI and Student Learning: What We Know (and What We Don't)

This webcast will explore how artificial intelligence is being deployed to boost teaching and learning in college and university classrooms, and how and whether this aligns with the science—or lack thereof—on AI and how students learn. Case studies will supplement an expert panel discussion and audience Q&A period.

Attendees will learn about:

• Evidence-based practices for using AI to enhance student learning
• What AI can and can’t do in terms of helping students learn
• What the current research says about AI’s ability to enhance student learning and what questions and issues still need to be explored

Additional resources:

Derek Bruff's presentation:

• The Intentional Teaching podcast from Agile Learning
• "Impact of AI Assistance on Student Agency" from ScienceDirect
• "ChatGPT is a Disappointing Ghostwriter, and That's Great News" from Intentional Teaching
• "The ChatGPT Effect and Transforming Nursing Education with Generative AI: Discussion Paper" from ScienceDirect
• "Don’t Assume Students Are Eager AI Adopters" from Inside Higher Ed

Danielle S. McNamara's presentation:

• Learning Engineering Institute at ASU
• Artificial Intelligence at ASU
  • Digital Trust Guidelines for Generative Artificial Intelligence Use
  • Generative AI Tools
  • Academic Integrity: Syllabus Guidelines
  • AI Innovation Challenge

Xu Wang's presentation:

• U-M Maizey In Depth at University of Michigan
• "ReadingQuizMaker: A Human-NLP Collaborative System that Supports Instructors to Design High-Quality Reading Quiz Questions" at University of Michigan
• "GenAI in Computer Science education: Friend or Foe?" at University of Michigan

Further reading on AI:

• Inside Higher Ed's coverage of AI
• Dive into this topic even more! Learn about and attend our Digital Universities US event, happening in just a few weeks