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How assigned AI use before class shapes active student engagement in class

Paper recorded by Signals 4 on 2026-10-07 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-07 on arXiv · recorded by Signals 4 on 2026-10-08

Category: cs.AI · 人工智能 · first seen 2026-10-08

Abstract

AI learning tools are rapidly entering classrooms, but evidence about whether they help students learn is mixed and rests mostly on test scores. Comparatively less research addresses whether the use of AI changes students' live learning behaviors in class. Here, we report the results of a preregistered field experiment with 759 MBA students enrolled in ten sections of a course, in which each stude

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#391 most recent of 960 cs.AI papers we have recorded · ↑ newer: A Society of Researchers: Designing Institutions for Populations of Au · ↓ older: FoldBack: Self-Correcting Masked Generative Policy for Long-Horizon Ga

Cite this page: How assigned AI use before class shapes active student engagement in class: the #391 most recent of 960 cs.AI papers we have recorded (as of 2026-10-07). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/how-assigned-ai-use-before-class-shapes-active-student-engagement-in-class.html
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