Ability boosted knowledge tracing

Information Sciences(2022)

引用 16|浏览50
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摘要
Knowledge tracing (KT) has become an increasingly relevant problem in intelligent education services, which estimates and traces the degree of learner’s mastery of concepts based on students’ responses to learning resources. The existing mainstream KT models, only attribute learners’ feedback to the degree of knowledge mastery and leave the influence of mental ability factors out of consideration. Although ability is an essential component of the problem-solving process, these knowledge-centered models cause a contradiction between data fitting and rationalization of the model decision-making process, making it difficult to achieve high precision and readability simultaneously.
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关键词
Knowledge tracing,Learner modeling,Artificial intelligence in education,Ensemble learning,Matrix factorization,Graph neural networks
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