In a real programming course, students with an eliciting LLM agent on a learning dashboard wrote more reflection messages than students with a telling agent¶
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Evidence · 1 study · causalr2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
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q2 i? Students in the elicit condition produced significantly more reflection-category messages than students in the tell condition (z = 2.47, p = 0.013). → Graf 2026
Evidence¶
Graf 2026¶
Graf, L., Bassner, P., Anzinger, M., Dietrich, F., Krusche, S., & Poquet, O. (2026). Interactive learning dashboards: rethinking learning visualisations as engagement tools. Education and Information Technologies. https://doi.org/10.1007/s10639-026-14082-1
q2 · i? · causal · r2
Exploratory case study: open bottom-up coding of a random sample of learner–LLM messages (over 300 messages, Cohen's Kappa = 0.8) compared reflection-category frequency between the elicit and tell conditions. The z-test found "a z-statistic of 2.47 and a p-value of 0.013".
"A two-proportion z-test was conducted to clarify if the difference in the frequency of a reflection between the tell and elicit condition was statistically significant (p < 0.05), revealing a z-statistic of 2.47 and a p-value of 0.013."
Discussion¶
Related Claims¶
- Reflective Practice Improves Outcomes When Structured — the general claim this finding bears on, with the studies behind it
- Most students submitted JoLs out of curiosity about the system rating, often without attending to the LA graphs, and reported behaviour change more from JoL than from the agent — related
- JoL–mastery accuracy trajectories over the five weeks rose in the elicit condition, declined in the none condition, and were mixed in the tell condition — related
- Tell and no-agent conditions showed no significant JoL–confidence correlations, with mixed results for progress and mastery — related
- Students using the eliciting agent showed JoL ratings correlated with system learning metrics, strongest for mastery — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
elicit-agent-more-reflection-messages-lad |
title |
In a real programming course, students with an eliciting LLM agent on a learning dashboard wrote more reflection messages than students with a telling agent |
description |
In a real programming course, students with an eliciting LLM agent on a learning dashboard wrote more reflection messages than students with a telling agent |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — graf-2026 |
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