Large-scale Cognitive Tutor log dataset from over 7,000 pre-algebra students

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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

A large-scale dataset of more than 35 million observations from over 7,000 pre-algebra students using Cognitive Tutor, created by Ritter et al. for studying mathematical cognition and instructional interactions.

Components

Claims

• Across a geometry curriculum, overall percent correct stays fairly constant over time while percent correct on actions involving a single skill increases, as ACT-R's knowledge-component claim predicts [+M]

Related Products and Programmes

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Key Sources

• Ritter, S., Anderson, J. R., Koedinger, K. R., & Corbett, A. (2007). Cognitive Tutor: Applied research in mathematics education. Psychonomic Bulletin & Review, 14(2), 249-255. https://www.carnegielearning.com. doi:10.3758/bf03194060

Page metadata

Field	Value
type	product
id	large-scale-cognitive-tutor-log-dataset-from-over-7000-pre-algebra-students
title	Large-scale Cognitive Tutor log dataset from over 7,000 pre-algebra students
description	A large-scale dataset of more than 35 million observations from over 7,000 pre-algebra students using Cognitive Tutor, created by Ritter et al.
status	review
product_kind	dataset
generated	by process:settle-candidates on 2026-10-16
trust	unverified — no one has confirmed this page's content

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