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Related Work (DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills)
Knowledge Tracing (Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory)
Related Work (Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing)
Knowledge Tracing Machines (Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing)
Modeling Student Learning and Forgetting (DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills)
There are two main approaches to modeling student learning: knowledge tracing and factor analysis.
- Knowledge Tracing: This approach models the development of student knowledge to predict the sequence of answers (e.g., the Bayesian Knowledge Tracing model).
- Factor Analysis: This approach does not depend on the order of observations. It includes models such as Item Response Theory (IRT), where the probability of a correct answer is modeled as , with denoting student ability and item difficulty. Extensions include Multidimensional Item Response Theory (MIRT), the Additive Factor Model (AFM), and Performance Factor Analysis (PFA).
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Adaptive Spacing Algorithms (DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills)
General Notation (DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills)
Modeling Student Learning and Forgetting (DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills)
Bayesian Based Knowledge Tracing (Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory)
Factory Analysis Based Knowledge Tracing (Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory)
Deep Learning Based Knowledge Tracing (Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory)
Modeling Student Learning and Forgetting (DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills)
Factorization Machines
Modeling Student Learning and Forgetting (DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills)
Data and encoding of side information (Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing)
Relation to existing models (Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing)
Training (Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing)
Modeling Student Learning and Forgetting (DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills)