Pull together: : Option-weighting-enhanced mixture-of-experts knowledge tracing
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Knowledge-Enhanced Multi-task Learning for Course Recommendation
Database Systems for Advanced ApplicationsAbstractKnowledge tracing (KT) aims to model learners’ knowledge level and predict future performance given their past interactions in learning applications. Adaptive learning systems mainly generate course recommendations based on learner’s knowledge ...
Response speed enhanced fine-grained knowledge tracing: A multi-task learning perspective
AbstractThe primary objective of knowledge tracing (KT) is to trace learners’ changing knowledge states and predict their future performance by analyzing their learning trajectories. One of the fundamental assumptions underpinning KT is that estimating ...
Highlights- We propose two steps of consistency between performance and knowledge state in KT.
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Structured Knowledge Tracing Models for Student Assessment on Coursera
L@S '16: Proceedings of the Third (2016) ACM Conference on Learning @ ScaleMassive Open Online Courses (MOOCs) provide an effective learning platform with various high-quality educational materials accessible to learners from all over the world. However, current MOOCs lack personalized learning guidance and intelligent ...
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Pergamon Press, Inc.
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