xTalk, October 16, 2024, Generative AI in Teaching at MIT скачать в хорошем качестве

xTalk, October 16, 2024, Generative AI in Teaching at MIT

Per Urlaub and Michael S. Strano share the positive impacts and the challenges associated with using generative AI in MIT subjects. Per Urlaub is Professor of the Practice in German and Second Language Studies, and the Director of Global Languages at MIT. Michael S. Strano is Carbon P. Dubbs Professor in Chemical Engineering at MIT, as well as the Founder and Lead Principal Investigator for the Center for Enhanced Nanofluid Transport and for Disruptive and Sustainable Technology for Agricultural Precision. Chapters: 0:00 INTRODUCTION 1:14 PER URLAUB 2:14 Why incorporate AI in education 4:12 Pedagogical framework: Zone of proximal development 7:25 Interactive guidance from AI 8:19 Use case - Critical reflection on AI-powered translations 11:02 Use case - Role playing with an AI coach 12:31 Use case - AI as a writing tutor 17:30 Designing opportunities to reflect critically 18:29 MICHAEL S. STRANO 19:22 About 10.65 Chemical Reactor Engineering 20:08 Why use AI for 10.65 problems 22:11 Copilot to save time for students 23:34 Pre-class engagement with Copilot 23:56 Use case - Looking up details 24:39 Use case limitation - Specific-problem types 26:04 Use case limitation - Ambiguous problems 26:43 Use case limitation - Programming 27:26 Post-class engagement with AI 28:20 Lessons from student feedback 30:08 Iteration and next steps 31:36 DISCUSSION & Q/A 31:58 Student experience and comfort with AI 35:13 Structuring prompts 37:51 Critical thinking 42:02 Learning over time 46:48 Deciding on goals 48:42 Reading and technology MIT Open Learning: https://openlearning.mit.edu/resident... https://openlearning.mit.edu/events/g...