Student Learning

TILTing the Use of AI to Reduce Its Risks

The Transparency in Learning and Teaching (TILT) Framework (Winkelmes, 2012, 2016) provides a helpful way to inform and communicate choices about using generative AI tools in higher education. Educators who engage their students in reciprocal, transparent communication about the purposes, processes, and criteria around their

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Cultivating a Constructive Error Climate in the Classroom

Errors are an inevitable part of learning. But many students perceive mistakes as threats to their self-esteem, associating them with failure rather than growth. By cultivating a constructive error climate, we redefine mistakes as valuable learning tools. This involves shifting the classroom narrative from “don’t

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Inspire Questioning, Build Interest, Advance Learning

Have you noticed what students do when they’re curious about something? A few years ago, a common response to having a question about a text (or the world, for that matter) was to “ask Google.” Nowadays the common refrain seems to be “ask ChatGPT.” When

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AI Study Support for Students

While higher education focuses on how to prevent AI from diminishing student learning, over the past few months a number of major AI players have released study modes focused on helping students learn. This development has the potential to close the learning gap by providing

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How to Improve Student Comprehension of Difficult Texts

When students come to class without understanding the assigned reading, I often assume that they didn’t do it. While this can be the case, I have also found that many students simply didn’t get the needed information out of the assigned texts. Being an expert

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