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.

Eight-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.

Empirical 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.

Cited by

No citations on record.