Self-Regulated Reading with AI Support: An Eight-Week Study with Students
3.80T1 sourcearXiv cs.HC
Source record
Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2602.09907.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryEight-week longitudinal study of 15 undergraduates using AI chatbots for academic reading. Analyzes 838 prompts across 239 sessions, coding them into Decoding, Comprehension, Reasoning, and Metacognition categories. Finds comprehension dominates, cognitive progression is truncated, and students exhibit an intention-behavior gap and a pattern of reading through AI rather than with it.
Why it mattersEmpirical longitudinal data on how students actually prompt AI during reading, including the novel 'reading through AI' pattern and intention-behavior gap, with direct design implications.
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