A preregistered experiment with 330 participants demonstrated the intelligent tutor is highly effective at improving planning in partially observable environments¶
Claim · All claims
Evidence · 1 study · causalr3·q3
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q3 i? Participants trained with the Choice Tutor showed improved planning ability in partially observable environments compared to control conditions. → Heindrich 2025
Evidence¶
Heindrich 2025¶
Heindrich, L., Consul, S., & Lieder, F. (2025). An Intelligent Tutor for Planning in Large Partially Observable Environments. International Journal of Artificial Intelligence in Education, 35, 3095–3127. https://doi.org/10.1007/s40593-025-00493-7
q3 · i? · causal · r3
Preregistered online experiment (AsPredicted RL3_YDD) with 330 Prolific participants randomly assigned to Choice Tutor, Dummy Tutor, or No Tutor conditions. After 12 training trials with graduated environments, all completed 10 unassisted test trials in a 60-node environment. The article states the tutor "is highly effective at improving people's ability to make good decisions."
"A prereg-istered experiment with 330 participants demonstrated that the new intelligent tutor is highly effective at improving people's ability to make good decisions in partially observable environments."
Discussion¶
Related Claims¶
- MGPO selects planning computations in approximately 0.03 seconds, over 100 times faster than baseline methods — related
- MGPO discovers significantly more resource-rational planning strategies than baseline methods in partially observable environments — related
- KERMIT observes students' actions and adapts to their knowledge and learning abilities — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
tutor-improves-human-planning-partially-observable |
title |
A preregistered experiment with 330 participants demonstrated the intelligent tutor is highly effective at improving planning in partially observable environments |
description |
A preregistered experiment with 330 participants demonstrated the intelligent tutor is highly effective at improving planning in partially observable environments |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
generated |
by process:wiki-ingest on 2026-10-28 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — heindrich-2025 |
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