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A Comparison of Error Metrics for Learning Model Parameters in Bayesian Knowledge Tracing
TLDR
In the knowledge-tracing model, error metrics are used to guide parameter estimation towards values that accurately represent students’ dynamic cognitive state. Expand
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High Coverage Hint Generation for Massive Courses by Sumukh Sridhara Research Project
In massive programming courses, automated hint generation o↵ers the promise of zero-cost, zero-latency assistance for students who are struggling to make progress on solving a program. While a moreExpand