Open dataset of student-chatbot interaction logs, code snapshots, and knowledge and self-regulation measures¶
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¶
A supplementary open dataset released by Hyoungwook Jin et al. containing college students' chatbot interaction logs, Vue.js code-edit snapshots, prompts, activity time, and knowledge and self-regulation measures for studying AI-supported programming help-seeking.
Components¶
Claims¶
- Students rarely formulated questions specifying both knowledge component and scaffold type during chatbot problem-solving [+W]
- The chatbot often provided more scaffold types than requested, and supplying classified question scope to the chatbot raised scaffold precision above .60 [+W]
Related Products and Programmes¶
- HelpCoach
- StudyChat dataset
- Large-scale dataset of authentic student–AI chat logs from six Technion courses
Key Sources¶
- Hyoungwook Jin, Weirui Peng, Jieun Han, Q. Vera Liao, and Xu Wang. (2026). HelpCoach: Scaffolding Targeted AI Help-Seeking During Problem-Solving. arXiv. https://arxiv.org/abs/2609.28918
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
open-dataset-of-student-chatbot-interaction-logs-code-snapshots-and-knowledge-and-self-reg |
title |
Open dataset of student-chatbot interaction logs, code snapshots, and knowledge and self-regulation measures |
description |
A supplementary open dataset released by Hyoungwook Jin et al. |
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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