Episode Details

What happens when one of the world’s leading technology institutions concludes that responding to generative AI requires more than deciding when students should or shouldn’t be allowed to use it? In this episode, Sharona and Boz dig into a new report from MIT’s Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training, which calls on the institution to reconsider what students need to learn, how courses and assessments should be designed in an AI-aware world, and even the role that grades and grading play in education. The report raises questions that will sound familiar to alternative grading practitioners: How do we keep the focus on learning rather than credentials? What kinds of assessment actually provide evidence of student learning when AI can complete many traditional assignments? And how might backwards design, productive struggle, reflection, agency, and mastery help educators rethink their courses for a rapidly changing educational landscape?

Links

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• MIT AI Committee Full Report
• MIT Public Facing Page for the AI Committee Report
• MIT AI Report Calls for Alternative Grading, More Social Learning, Article, published on Inside Higher Ed
• Josh Eyler Post on Bluesky
• MIT Says AI is Forcing a Rethink of College Itself, Article, published on Forbes

Resources

The Center for Grading Reform - seeking to advance education in the United States by supporting effective grading reform at all levels through conferences, educational workshops, professional development, research and scholarship, influencing public policy, and community building.

The Grading Conference - an annual, online conference exploring Alternative Grading in Higher Education & K-12.

Some great resources to educate yourself about Alternative Grading:

• The Grading for Growth Blog
• The Grading Conference
• The Intentional Academia Blog

Recommended Books on Alternative Grading:

• Grading for Growth, by Robert Talbert and David Clark

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