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Anna Stokke's avatar

Great edu-snippets. Thanks for covering the math anxiety article. Robin Codding and her co-authors are doing amazing work!

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Linyi Wang's avatar

Thoughts about “Does GenAI help or hinder student learning?”

As mentioned in this study, students were concentrating on answer-finding rather than skill-building. According to my experience both as a student and as an instructor, the root of this issue is that students feel that building skills in math is a painful process. To improve the helpfulness of Generative AI, a redesign incorporating incentives for students to go through the learning activities can potentially provide better results. In other words, if students are doing what they are supposed to do, positive outcomes will follow.

Another thought relating to this study and my real-life teaching experience is that in education, the same pattern observed in the law of conservation of energy applies: the amount of effective input determines the extent of improvements in output. Instead of creating a magical process, effective teaching and learning seem to make the brain work harder within a specific time frame, resulting in a better learning outcome. The students using books and notes in this study did not have the option to get quick answers, so they had to work harder. This may contribute to the more desirable results. My recent teaching experience also confirms this to some extent: the class I teach performed significantly better in the midterm exam this semester compared to other classes. One factor might be the critical questions I asked during class time, which increased their thinking effort. The other factor might be the larger amount of work I assigned – instead of 15 questions provided in a typical quiz, I usually provide around 40 questions.

In short, there is no free lunch. Hence, the direction of education research should probably focus on inducing more intense brain work without cognitive overload.

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