今天的编程课程的语义可视化分析

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge Pub Date : 2016-04-25 DOI:10.1145/2883851.2883915

I-Han Hsiao, Sesha Kumar Pandhalkudi Govindarajan, Yi-ling Lin

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引用次数: 16

摘要

我们设计并研究了一种创新的语义视觉学习分析，用于编排当今的编程课程。可视化分析通过内容语义集成学习活动的来源。它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。结果表明，从考试中自动提取概念是有前途的，可能是解决现实世界问题的潜在技术解决方案。我们还发现，通过覆盖更全面的语义，索引效率对于复杂的内容尤其普遍。主观评价表明，动态概念索引为教师提供了制定更平衡的考试的即时反馈。

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Semantic visual analytics for today's programming courses

We designed and studied an innovative semantic visual learning analytics for orchestrating today's programming classes. The visual analytics integrates sources of learning activities by their content semantics. It automatically processs paper-based exams by associating sets of concepts to the exam questions. Results indicated the automatic concept extraction from exams were promising and could be a potential technological solution to address a real world issue. We also discovered that indexing effectiveness was especially prevalent for complex content by covering more comprehensive semantics. Subjective evaluation revealed that the dynamic concept indexing provided teachers with immediate feedback on producing more balanced exams.

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Proceedings of the Sixth International Conference on Learning Analytics & Knowledge

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