CMSA Machine Learning in Science Education Panel Discussion
CMSA EVENTS
Machine Learning in Science Education Panel Discussion
Monday, Sep. 30, 2024
3:30-5:30 pm ET
Machine Learning is rapidly influencing many spheres of human activity. As part of the CMSA Mathematics and Machine Learning Program, this panel discussion will explore current and future uses of Machine Learning in science education. Panelists will make brief presentations, which will be followed by discussion and audience questions.
Gregory Kestin (Harvard University)
AI-Supported Activities: Design Principles and Impact on Student Learning
Logan McCarty (Harvard University)
Surveying the Landscape: Teaching and Learning with AI
Alexis Ross (Massachusetts Institute of Technology)
Adaptive Teaching towards Misconceptions with LLMs
Ilia Sucholutsky (New York University)
Why should machines have human-like representations? Towards student-centric AI tutors
Organizers:
- Dan Freed (Harvard University and CMSA)
- Michael Douglas (CMSA)