A Multi-Faceted Exploration Incorporating Question Difficulty in Knowledge Tracing for English Proficiency Assessment
Jinsung Kim,
Seonmin Koo,
Heuiseok Lim
Abstract:Knowledge tracing (KT) aims to trace a learner’s understanding or achievement of knowledge based on learning history. The surge in online learning systems has intensified the necessity for automated measurement of students’ knowledge states. In particular, in the case of learning in the English proficiency assessment field, such as TOEIC, it is required to model the knowledge states by reflecting on the difficulty of questions. However, previous KT approaches often overly complexify their model structures sole… Show more
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