Six skill-tagged response datasets from ASSISTments and Mindspark used for model comparison¶
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Evidence · 1 claim (1 for) · 1 study (1 design),q2· 0 of 1 report an effect size · 1 claim rests on one study
Description¶
Agarwal et al. assembled six skill-tagged correct/incorrect response datasets from the ASSISTments and Mindspark tutoring platforms for comparing learner-modeling algorithms.
Components¶
Claims¶
- No single learner model was best across the six datasets, justifying a broad multi-model approach [+W]
Related Products and Programmes¶
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Key Sources¶
- Agarwal, D., Baker, R.S., & Muraleedharan, A. (2020). Dynamic knowledge tracing through data driven recency weights. Proceedings of The 13th International Conference on Educational Data Mining (EDM 2020). https://educationaldatamining.org/edm2020/
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
six-skill-tagged-response-datasets-from-assistments-and-mindspark-used-for-model-compariso |
title |
Six skill-tagged response datasets from ASSISTments and Mindspark used for model comparison |
description |
Agarwal et al. |
status |
review |
moved_from |
element/assistments-mindspark-skill-datasets |
product_kind |
dataset |
generated |
by process:sweep-kinds on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — agarwal-2020 |
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