Papers › Deep Knowledge Tracing

Deep Knowledge Tracing

19 Jun 2015NeurIPS 2015 12arXiv:1506.05908archive 2025-07-28

Chris Piech, Jonathan Spencer, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas Guibas, Jascha Sohl-Dickstein

Knowledge tracing---where a machine models the knowledge of a student as they interact with coursework---is a well established problem in computer supported education. Though effectively modeling student knowledge would have high educational impact, the task has many inherent challenges. In this paper we explore the utility of using Recurrent Neural Networks (RNNs) to model student learning. The RNN family of models have important advantages over previous methods in that they do not require the explicit encoding of human domain knowledge, and can capture more complex representations of student knowledge. Using neural networks results in substantial improvements in prediction performance on a range of knowledge tracing datasets. Moreover the learned model can be used for intelligent curriculum design and allows straightforward interpretation and discovery of structure in student tasks. These results suggest a promising new line of research for knowledge tracing and an exemplary application task for RNNs.

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chrispiech/DeepKnowledgeTracing officialmentioned in paper report
YangZhouEdu/DKT_pytorch mentioned on GitHubpytorch report
bcaitech1/p4-dkt-no_caffeine_no_gain mentioned on GitHubpytorch report
jarviszhb/KnowledgeTracing mentioned on GitHubpytorch report
jdxyw/deepKT mentioned on GitHubpytorchMIT report

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calculate_bes ZhijieXiong/pyedmine/edmine/evaluator/SequentialDLKTEvaluator.py community (archive-listed) ran · violated contract fingerprinted MIT (permissive) · 2316c44149b4355c · report
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varible qqhann/KnowledgeTracing/model/dkvmn.py community (archive-listed) unverified MIT (permissive) · efc39cac785550fe · report

Tasks

Knowledge Tracing

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Knowledge Tracing Assistments DKT AUC 0.86 #1 of 2 Archive leaderboard report
Knowledge Tracing Assistments BKT AUC 0.67 #2 of 2 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

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