Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky - 24th International Conference, AIED 2023, Tokyo, Japan, July 3-7, 2023, Proceedings
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky - 24th International Conference, AIED 2023, Tokyo, Japan, July 3-7, 2023, Proceedings
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教育中的人工智能。
DOI：
10.1007/978-3-031-36336-8_99
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
Arnau-González P
中科院分区：
文献类型：
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作者：
Arnau-González P
利用智能辅导系统（ITSs）解决数学单词问题面临着一个主要的限制：ITSs只监督预先登记的问题，需要大量的人工努力来添加新的问题。信息技术人员不能帮助解决学生产生的问题。为了解决这个问题，我们提出了一种自动化的方法，将MWP转换为ITS的内部表示，使用预训练的语言模型将MWP转换为Python代码，然后可以轻松导入。使用各种代码模型的实验评估证明了我们的方法的准确性和改进潜力。
Math Word Problem (MWP) solving for teaching math with Intelligent Tutoring Systems (ITSs) faces a major limitation: ITSs only supervise pre-registered problems, requiring substantial manual effort to add new ones. ITSs cannot assist with student-generated problems. To address this, we propose an automated approach to translate MWPs to an ITS’s internal representation using pre-trained language models to convert MWP to Python code, which can then be imported easily. Experimental evaluation using various code models demonstrates our approach’s accuracy and potential for improvement.