AI-Tutor: Generating Tailored Remedial Questions and Answers Based on Cognitive Diagnostic Assessment

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI:10.1109/BESC48373.2019.8963236

Wenbin Gan, Yuan Sun, Shiwei Ye, Ye Fan, Yi Sun

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引用次数: 6

Abstract

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.

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人工智能导师:基于认知诊断评估生成量身定制的补救问题和答案

基于这一视角，本文提出了一种新型的个性化自适应辅导系统AI-Tutor，该系统不仅融合了一般辅导系统为学习者提供自适应课程学习的基本功能，还可以基于认知诊断评估生成量身定制的补习试题和答案。这种独特的量身定制的辅导服务将有可能帮助学习者在更短的时间内掌握缺乏的知识点。本文介绍了实现这种人工智能家教的初步研究和开发。首先给出了系统的设计方案，给出了主要模块的功能描述和操作流程。其次，确定了该系统背后的四个主要研究问题，并提出了在开发AI-Tutor时解决这些问题的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)

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