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Towards an algorithm-based intelligent tutoring system: Computing methods in syntactic management of garden path phenomenon

机译:迈向基于算法的智能辅导系统:花园路径现象句法管理中的计算方法

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This paper argues that algorithm-based intelligent tutoring systems (ITSs) can give a meaning to an educational content semantically. An answer has been sought to the question of “what should be taught to students when garden path sentence is given to them”. With reference to this aim, a system has been designed to automatically detect the students'' cognitive process in decoding the information embedded in garden path sentence. The developed system basically comprises computing schema, linguistic model, flowchart programming and algorithm-based computing methods. The example-based results indicate that garden path sentence has distinguishing features of processing breakdown and backtracking, correspondingly extending the working memory of the subjects. Students'' final interpretations of sentences often fail to correspond to the initial input and the theory that comprehension can occur in a “good-enough” manner is supported. As a result, more additional information, semantic and syntactic, should be given in ITSs to the students for the management of garden path phenomenon.
机译:本文认为,基于算法的智能补习系统(ITS)可以在语义上赋予教育内容以意义。有人寻求一个答案,即“给学生花园小径句子时应该教给他们什么”。参照这个目标,设计了一个系统来自动检测学生的认知过程,以解码花园路径语句中嵌入的信息。所开发的系统主要包括计算方案,语言模型,流程图编程和基于算法的计算方法。基于实例的结果表明,花园小径句子具有处理故障和回溯的显着特征,相应地扩展了对象的工作记忆。学生对句子的最终解释常常不能与初始输入相对应,并且支持以“足够好”的方式进行理解的理论。因此,应在ITS中为学生提供更多的信息,语义和句法信息,以管理花园小径现象。

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