'Knowledge tracing' presentation slideshows

Special Topics in Educational Data Mining

539 views • 53 slides

Educational Data Mining

Educational Data Mining. Ryan S.J.d. Baker PSLC/HCII Carnegie Mellon University Richard Scheines Professor of Statistics, Machine Learning, and Human-Computer Interaction Carnegie Mellon University Ken Koedinger CMU Director of PSLC Professor of Human-Computer Interaction & Psychology

455 views • 39 slides

Core Methods in Educational Data Mining

Core Methods in Educational Data Mining. EDUC691 Spring 2019. Quick review. Why is student-level cross-validation important? How can one do it in RapidMiner? How can one do it in Python?. What is the Goal of Knowledge Inference?. What is the Goal of Knowledge Inference?.

386 views • 38 slides

Navigating the parameter space of Bayesian Knowledge Tracing models

Navigating the parameter space of Bayesian Knowledge Tracing models. Visualizations of the convergence of the Expectation Maximization algorithm. Zachary A. Pardos, Neil T. Heffernan. Worcester Polytechnic Institute Department of Computer Science. Outline. Introduction Knowledge Tracing/EM

397 views • 37 slides

150 views • 9 slides

Knowledge Tracing

Knowledge Tracing. Parameters can be learned with the EM algorithm!. Modeling or measuring learning requires modeling knowledge Knowledge Tracing used to model learning. Parameters (probability of learning) (guess/slip) (prior). P(Skill: 0 ? 1). P(Skill: 0 ? 1). S. S. S. Latent

395 views • 3 slides