ALEKS and ALEKS PPL behavioral trace datasets for studying AI-era learning behavior¶
Product or Programme · All products and programmes
Evidence · 2 claims (2 for) · 1 study (1 causal),q2· 0 of 1 report an effect size · 2 claims rest on one study
Description¶
Large-scale datasets made available by ALEKS containing learning interactions, placement-assessment responses, response times, and retention-item outcomes for studying mathematics learning behavior.
Components¶
Claims¶
- College students' learning time on AI-susceptible word problems declines 2.80% per quarter relative to graph-based problems after ChatGPT's release, cumulating to 26.9% over eleven quarters [+M]
- On randomly assigned proctored retention items, odds of correct response on AI-susceptible items decline 25.0% cumulatively after ChatGPT's release [+M]
Related Products and Programmes¶
Key Sources¶
- Rismanchian, S., Uzun, H., Matayoshi, J., Cosyn, E., & Kurd-Misto, E. (2026). Faster Completion, Less Learning: Generative AI Reduced Study Time on Math Problems and the Knowledge They Build. arXiv preprint. https://arxiv.org/abs/2605.21629. doi:10.48550/arxiv.2605.21629
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
aleks-and-aleks-ppl-behavioral-trace-datasets-for-studying-ai-era-learning-behavior |
title |
ALEKS and ALEKS PPL behavioral trace datasets for studying AI-era learning behavior |
description |
Large-scale datasets made available by ALEKS containing learning interactions, placement-assessment responses, response times, and retention-item outcomes for studying mathematics learning behavior. |
status |
review |
product_kind |
dataset |
generated |
by process:settle-candidates on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
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