Deep-knowledge acquisition for learner modelling in second language learning Michael B. Twidale

A review of previous work in the field of learner modelling reveals an emphasis on the surface descriptions of errors of understanding with only partial consideration of the underlying misconceptions that might explain the cause of the errors. Within a general framework for learner modelling we propose a technique, involving the use of a structured interface, for the effective acquisition of a richer and deeper model of learners' errors. The technique is considered from the perspective of a concrete domain: second language learning. Key-words: Learner Modelling, Knowledge Acquisition, Intelligent Tutoring Systems, Second Language Learning.

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