A.I.

Teaching and Learning in the Age of AI

Posted on by dalkej

The following articles are helpful for thinking about the challenges and opportunities that large language models (LLMs) bring to teaching and learning: 

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Identifying Unsupported Claims

Posted on by dalkej

In my W101, I am using AI-generated writing to teach students two things: (1) the pitfalls of submitting unrefined AI output in their assignments and (2) how to evaluate and revise writing. For example, I developed this group activity to help students learn how to identify unsupported claims.

When prompted to write a college-level essay, AI tends to generate a lot of unsupported claims.

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The Challenges of Slowing Down and Thinking Hard

Posted on by dalkej
One of the themes emerging in my conversations with departments and programs across campus this semester (17 so far!) is our commitment, as teachers and scholars, to helping our students embrace the challenge, satisfaction, and necessity of thinking—deeply, creatively, productively.

Faculty across campus articulate this goal in a variety of ways: Teaching students to value slow thinking in untangling math and programming problems, rather than speed in getting to an answer.

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