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A Comparison of Error Metrics for Learning Model Parameters in Bayesian Knowledge Tracing
In the knowledge-tracing model, error metrics are used to guide parameter estimation towards values that accurately represent students’ dynamic cognitive state. Expand
A Dueling Metrics : Choosing the Appropriate Error Metric for Models of Cognition in the Learning Analytics Field
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 more… Expand