AI and Education: Creating AI Policies that Support Learning, Integrity, and Equity
This webinar is part of the six-webinar series, Wrapping Our Minds Around AI: Translating Learning Science into Practice.
This webinar will teach faculty how to develop transparent expectations informed by how students learn.
This program does not offer CE credit.
Topics covered
Determining how to create a policy
Structuring policy and practice from syllabus to assignment
Fostering conversation about academic integrity and AI
Pricing
Member
75ドル
Non-member
90ドル
Your price
Goals
Identify methods to develop course policies that are clear, developmentally appropriate, and pedagogically defensible
Consider how transparency, motivation, fairness, and access shape student use of AI
Develop language that helps students understand the "why" behind AI boundaries
Participants will walk away with
A draft syllabus statement on AI
A draft policy language for one assignment or learning activity
Presenter
Lance Eaton
Senior Associate Director of AI in Teaching and Learning, Northeastern University
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Disclaimer
Any opinions, findings, and conclusions or recommendations expressed by the presenters for this webinar do not necessarily reflect the views, policies, or positions of the American Psychological Association.