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Prerequisite-driven Q-matrix Refinement for Learner Knowledge Assessment: A Case Study in Online Learning Context. (arXiv:2208.12642v1 [cs.CY])
cs.LG updates on arXiv.org arxiv.org
The ever growing abundance of learning traces in the online learning
platforms promises unique insights into the learner knowledge assessment (LKA),
a fundamental personalized-tutoring technique for enabling various further
adaptive tutoring services in these platforms. Precise assessment of learner
knowledge requires the fine-grained Q-matrix, which is generally designed by
experts to map the items to skills in the domain. Due to the subjective
tendency, some misspecifications may degrade the performance of LKA. Some
efforts have been made to refine the …
arxiv case case study context knowledge learning online learning study