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Found 5 papers, 2 papers with code
Limitations of Agents Simulated by Predictive Models
Prior work has shown theoretically that models fail to imitate agents that generated the training data if the agents relied on hidden observations: the hidden observations act as confounding variables, and the models treat actions they generate as evidence for nonexistent observations.
Choose Your Own Question: Encouraging Self-Personalization in Learning Path Construction
Finally, Rocket provides students with fine-grained information on their learning path, giving them an avenue to assess their own skills and track their learning progress.
Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing
To the best of our knowledge, this is the first work to suggest an encoder-decoder model for knowledge tracing that applies deep self-attentive layers to exercises and responses separately.
Ranked #2 on
Knowledge Tracing
on EdNet
Assessment Modeling: Fundamental Pre-training Tasks for Interactive Educational Systems
However, such methods fail to utilize the full range of student interaction data available and do not model student learning behavior.
EdNet: A Large-Scale Hierarchical Dataset in Education
With advances in Artificial Intelligence in Education (AIEd) and the ever-growing scale of Interactive Educational Systems (IESs), data-driven approach has become a common recipe for various tasks such as knowledge tracing and learning path recommendation.
