基于纸的编程考试的语义反馈

2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT) Pub Date : 2016-07-01 DOI:10.1109/ICALT.2016.111

I-Han Hsiao, Sesha Kumar Pandhalkudi Govindarajan

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引用次数: 0

摘要

我们设计并研究了ExamParser，这是一种创新的智能语义自动索引方法，用于编排当今的编程课程。ExamParser通过将概念集与考试问题相关联来自动处理基于纸张的考试，这为评分者提供了语义评分指南，并留下个性化的语义反馈。结果表明，ExamPraser显著地从考试中提取了更多和更多样化的概念。它还在考试中实现了高度的一致性，表明从考试中自动提取概念是有前途的，可能是为大型编程课程提供个性化反馈的潜在技术解决方案。

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Semantic Feedback for Paper-Based Programming Exams

We design and study ExamParser, an innovative intelligent semantic automatic indexing method, for orchestrating today's programming classes. ExamParser automatically processes paper-based exams by associating sets of concepts to the exam questions, which provide graders semantic grading guidelines and leave personalized semantic feedback. Results showed that the ExamPraser significantly extract more and diverse concepts from exams. It also achieves high coherence within exam, indicating the automatic concept extraction from exams is promising and could be a potential technological solution to provide personalized feedback for large-size programming classes.

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2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)

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