AI-Tutor: Generating Tailored Remedial Questions and Answers Based on Cognitive Diagnostic Assessment
AI-Tutor: Generating Tailored Remedial Questions and Answers Based on Cognitive Diagnostic Assessment
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DOI：
10.1109/besc48373.2019.8963236
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发表时间：
2019-10
期刊：
影响因子：
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通讯作者：
Wenbin Gan;Yuan Sun;Shiwei Ye;Ye Fan;Yi Sun
中科院分区：
文献类型：
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作者：
Wenbin Gan;Yuan Sun;Shiwei Ye;Ye Fan;Yi Sun
开发基于人工智能的智能辅导系统以促进自适应学习一直是一个热门的研究课题，因为这些系统可以通过考虑个人学习者的状态和需求来提供个性化的学习指导，以提高他们的学习成绩。基于这一视角，本文提出了一种新的个性化自适应教学系统AI-Tutor，它不仅具有一般教学系统的基本功能，为学习者提供自适应的课程学习，而且可以基于认知诊断评估生成量身定制的补救问题和答案。这种独特而量身定制的辅导服务可能会帮助学习者在更短的时间内掌握不足的知识点。本文介绍了在实现这样一个AI驱动的导师的初步研究和开发。首先，给出了系统的总体设计，对主要模块的功能进行了描述，并给出了系统的操作流程。其次，它确定了该系统背后的四个主要研究问题，并提出了解决这些问题的方法，在开发人工智能导师。
Developing AI-powered intelligent tutoring systems to facilitate adaptive learning has been a hot research topic due to that these systems can provide personalized learning guidance by taking individual learner's status and needs into consideration to improve their learning performance. Based on this perspective, this paper proposes a novel personalized adaptive tutoring system named AI-Tutor, which not only incorporates the basic functions of general tutoring systems that providing adaptive course learning to learners, but also can generate tailored remedial questions and answers based on cognitive diagnostic assessment. This unique and tailored tutoring service will potentially help learners master the deficient knowledge points in a much shorter time. This paper presents the preliminary research and development in implementing such an AI-powered tutor. First, it gives the system design with the function description of main modules and the operating procedure. Second, it identifies four main research problems behind this system and proposes approaches to solve these problems in developing the AI-Tutor.