Evaluating Bayesian Knowledge Tracing for Estimating Learner Proficiency and Guiding Learner Behavior

Author:

Bhatt Shreyansh1,Zhao Jinjin1,Thille Candace1,Zimmaro Dawn2,Gattani Neelesh1

Affiliation:

1. Amazon.com, Seattle, WA, USA

2. Amazon.com, Austin, TX, USA

Publisher

ACM

Reference12 articles.

1. Estimating the minimum number of opportunities needed for all students to achieve predicted mastery

2. Albert T Corbett and John R Anderson. 1994. Knowledge tracing: Modeling the acquisition of procedural knowledge. User modeling and user-adapted interaction 4 4 (1994) 253--278. Albert T Corbett and John R Anderson. 1994. Knowledge tracing: Modeling the acquisition of procedural knowledge. User modeling and user-adapted interaction 4 4 (1994) 253--278.

3. Mohammad Khajah Robert V Lindsey and Michael C Mozer. 2016. How deep is knowledge tracing? arXiv preprint arXiv:1604.02416 (2016). Mohammad Khajah Robert V Lindsey and Michael C Mozer. 2016. How deep is knowledge tracing? arXiv preprint arXiv:1604.02416 (2016).

4. Adapting Bayesian Knowledge Tracing to a Massive Open Online Course in edX;Pardos Zachary A;EDM,2013

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2. Stable Knowledge Tracing Using Causal Inference;IEEE Transactions on Learning Technologies;2024

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4. Keep Calm and Do Not Carry-Forward: Toward Sensor-Data Driven AI Agent to Enhance Human Learning;Frontiers in Artificial Intelligence;2022-01-12

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