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From recording linguistic competence to supporting inferences about language acquisition in context

机译:从记录语言能力到支持有关上下文中语言习得的推理

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Student models for Intelligent Computer Assisted Language Learning (ICALL) have largely focused on the acquisition of grammatical structures. In this paper, we motivate a broader perspective of student models for ICALL that incorporates insights from current research on second language acquisition and language testing. We argue for a student model that includes a representation of the learner's ability to use language in context and to perform tasks, as well as for an explicit activity model that provides information on the language tasks and the inferences for the student model they support. The student model architecture we present is being developed as part of the TAGARELA system, an intelligent workbook supporting the instruction of Portuguese.
机译:智能计算机辅助语言学习(ICALL)的学生模型主要集中在语法结构的学习上。在本文中,我们激发了ICALL学生模型的广阔视野,该模型吸收了当前对第二语言习得和语言测试的研究见解。我们主张一个学生模型,其中包括学习者在上下文中使用语言和执行任务的能力的代表;以及一个明确的活动模型,该模型提供有关语言任务的信息以及他们所支持的学生模型的推论。我们目前提供的学生模型体系是TAGARELA系统的一部分,TAGARELA系统是支持葡萄牙语教学的智能工作簿。

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