Posted on by Rafael Scapin

Characterizing diverse student behaviors, interactions, and perceptions with GAI-augmented learning analytics tool

This study identifies distinct patterns in how programming students use AI-powered learning analytics to explore their own and peers’ progress. Findings highlight the need for personalized, adaptive AI feedback tailored to students’ engagement patterns and learning stages.

https://www.nature.com/articles/s41599-026-09564-z

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