Personalized hints raise student success at solving exercises: 60.47% success before second attempt with the discourse model versus 37.93% baseline (p = 0.03)¶
Claim · All claims
Evidence · 1 study · causalr1·q2
Currency · newest study 2022 · 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.
q2 i? In a pilot with 183 students, the discourse personalization model yielded higher exercise success rates than the baseline non-personalized model, with the difference before the second attempt statistically significant at 95% confidence based on a z-test (p = 0.03); no effect size is printed. → Kochmar 2022
q2 i? Across all attempts, success rates were 48.53% (discourse), 46.51% (shallow), and 39.47% (baseline). → Kochmar 2022
Evidence¶
Kochmar 2022¶
Kochmar, E., Vu, D. D., Belfer, R., Gupta, V., Serban, I. V., & Pineau, J. (2022). Automated Data-Driven Generation of Personalized Pedagogical Interventions in Intelligent Tutoring Systems. International Journal of Artificial Intelligence in Education, 32, 323–349. https://doi.org/10.1007/s40593-021-00267-x
q2 · i? · causal · r1
Remote pilot study on the Korbit platform (January–February 2020) with 796 annotated interactions from 183 students. Expert annotation agreed with the automated solution verification module in 80.53% of cases and served as gold standard. The article reports statistical significance with only a z-test p-value and no effect size: "statistically significant at 95% confidence level based on a z-test (p = 0.03)".
"the difference between the success rate for the DISCOURSE PERSONALIZATION MODEL and BASELINE MODEL for the students before their second attempt is statistically significant at 95% confidence level based on a z-test (p = 0.03)."
Discussion¶
Related Claims¶
- Wikipedia-based explanation success rates (17.65%) are far lower than personalized hints (60.47%), with no significant difference between extracted and generated types — related
- K-12 learners preferred incremental hints and multiple attempts over immediately revealed solutions — related
- Unsolicited hints and meta-hints raised first-attempt correctness by d=0.682 and problem completion by d=0.727 — a broader claim this one bears on
- Hint Factory MDP-generated hints gave correct next-step hints over 80% of the time and a pilot showed students solved more logic proofs with hints — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
personalized-hints-improve-success-rate-pilot |
title |
Personalized hints raise student success at solving exercises: 60.47% success before second attempt with the discourse model versus 37.93% baseline (p = 0.03) |
description |
Personalized hints raise student success at solving exercises: 60.47% success before second attempt with the discourse model versus 37.93% baseline (p = 0.03) |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2022 |
generated |
by process:wiki-ingest on 2026-10-27 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — kochmar-2022 |
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