Generation Method of Multiple-Choice Cloze Exercises in Computer-Support for English-Grammar Learning
With many remarkable advances in technology, not only studying with tutor at school but also studying through computer at home become preferable. Intelligent Tutoring System (ITS) is one of the research fields which aim to support the individual learning intellectually. To provide the learning material of the domain knowledge in many ITS, the learning materials are statically associated with each other in advance and given to student based on her/his understanding state. Motivating student and making them more interested in the learning content is the system’s task in the computer-supported systems. If students study on content which they are interested in, learning activity becomes more effective. Our research objective is to construct a system which automatically generates multiple-choice cloze exercises from text input by the student. We focus on supporting individual study of learning English grammar. In this paper, we propose a representation method of English grammar by Part-Of-Speech (POS) tags and words, the calculation procedure for estimating the understanding state of student in the student model, and the learning strategy for generating the next exercise based on the student model.
KeywordsDomain Knowledge Learning Strategy Conditional Random Field Learning Content Input Text
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