Evaluating an Intelligent Tutoring System for Personalized Math Teaching
Evaluating an Intelligent Tutoring System for Personalized Math Teaching
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评估个性化数学教学的智能辅导系统
DOI：
10.1109/iset.2017.37
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Jiyou Jia
中科院分区：
文献类型：
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作者：
Bilan Zhang;Jiyou Jia
随着智能家教系统(ITS)的普及，对其教学效果的评价变得越来越重要，但这样的评价在国内学术界并不多见。我们研究了“乐学100”，一个个性化的、基于网络的数学教学智能交通系统。本研究采用准实验法对学生的成绩进行评价，设置实验班和对照班进行内部和外部比较。考试成绩分析表明，该系统能显著提高实验班在学校常规考试中的数学成绩。收集到的学生答案可靠有效，统计分析表明，该系统的教学质量总体良好，包括界面、内容、即时反馈和游戏奖励机制，对学生的数学学习有很大的帮助。特殊词频分析也证明，大多数学生认为这一系统对他们的学习是积极的和有益的，但功能仍需改进。
With the popularity of Intelligent Tutoring System (ITS), it is important to evaluate its teaching effect, but such kind of evaluation is rarely found in Chinese research community. We studied "Lexue 100", a personalized and web-based math-teaching ITS. In the study, we use quasi-experiment method to evaluate students' performances, so the experiment class and control class are set to make internal and external comparison. The examination score analysis shows that the system can significantly improve the math performance of the experiment class in regular school examinations. The collected students' answers are reliable and valid, and their statistical analysis demonstrates that this system's teaching quality is overall good including the interface, content, instant feedback and game reward mechanism, which can be very helpful for the students' math learning. The special word frequency analysis also proves that most students find this system to be positive and beneficial to their learning, but functional improvement is still needed.