Скачать или смотреть From Policy to Practice: How to Make AI Work for Teaching and Learning in Higher Education

Date: Tuesday, September 16, 2025

From Policy to Practice: How to Make AI Work for Teaching and Learning in Higher Education

Generative AI is transforming higher education at a breakneck pace — reshaping instruction, assessment, operations, and experience. But with this transformation comes challenges: how do institutions balance innovation with integrity, fairness, and pedagogy?

In this insightful webinar, Dr. Sidney Shapiro (Assistant Professor of Business Analytics, University of Lethbridge; Adjunct Assistant Professor of Computer Science) shares strategies and frameworks to move from lofty AI policy into responsible, equitable practice in higher education settings.

Key Takeaways:
🔹 Governance Models Across Levels – Explore a layered governance framework (institutional, programmatic, course) that clarifies roles, decision rights, and accountability.
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🔹 AI Policy & Disclosure Norms – Learn how to craft policies and guidelines for acceptable AI use by students, faculty, and staff, including syllabus language and review processes.
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🔹 Assessment & Design Strategies – Adopt evidence-based strategies (like staged drafts, authentic tasks, oral checks) that reduce misuse without overreliance on AI detectors.
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🔹 Equity & Risk Checklist – Use a compact but robust checklist to assess pilot projects (access, affordability, bias, privacy, workload) and monitor impact on learning and fairness.
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If you’re committed to using AI in higher education without sacrificing quality, equity, or integrity, this webinar offers practical insight and direction.

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