AI and Education: AI, Assessment, and Feedback in Teaching and Learning
This webinar is part of the six-webinar series, Wrapping Our Minds Around AI: Translating Learning Science into Practice.
This webinar will teach psychology faculty and other educators how to design assessments that preserve rigor, improve feedback, and support durable learning.
This program does not offer CE credit.
Topics covered
Writing better multiple-choice and short-answer questions with AI assistance
Using AI to draft rubrics and feedback language
Designing assessments that reduce answer-getting and increase thinking
AI and formative feedback: benefits, limits, and guardrails
Feedback timing, specificity, and student use of feedback
Pricing
Member
75ドル
Non-member
90ドル
Your price
Goals
Explore how AI can support assessment design without weakening student thinking
Use AI to develop questions and assignments that target application, analysis, and transfer
Examine how feedback can be made more timely and useful while preserving faculty judgment
Align assessment choices with research on retrieval, spacing, feedback, and knowledge transfer
Participants will walk away with
One AI-supported assessment or assignment revision
One draft rubric or feedback protocol aligned to that revised assessment
Presenter
Laura Dorsey-Elson, PhD
Director
Center for Innovative Instruction and Scholarship, Morgan State University.
More in this series
Payment scale
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3+ rate 195ドル (save 30ドル) 240ドル (save 30ドル) 65ドル/80ドル
best value 348ドル (save 101ドル) 450ドル (save 88ドル) 58ドル/75ドル
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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.