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政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 > Item 140.119/110474

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/110474

Title:	Enriching programming content semantics: An evaluation of visual analytics approach
Authors:	Hsiao, I-Han;Lin, Yi‐ling 林怡伶
Contributors:	資管系
Keywords:	Semantic indexing;Automatic indexing;Visual analytics;Interactive visualization;Learning analytics;Programming learning
Date:	2017
Issue Date:	2017-06-23 17:26:26 (UTC+8)
Abstract:	In this work, we present an intelligent classroom orchestration technology to capture semantic learning analytics from paper-based programming exams. We design and study an innovative visual analytics system, EduAnalysis, to support programming content semantics extraction and analysis. EduAnalysis indexes each programming exam question to a set of concepts based on the ontology. It utilizes automatic indexing algorithm and interactive visualization interfaces to establish the concepts and questions associations. We collect the indexing ground truths of the targeted set from teachers and experts from the crowd. We found that the system significantly extracted more and diverse concepts from exams and achieved high coherence within exam. We also discovered that indexing effectiveness was especially prevalent for complex content. Overall, the semantic enriching approach for programming problems reveals systematic learning analytics from the paper exams.
Relation:	Computers in Human Behavior,Volume 72, Pages 771–782
Data Type:	article
DOI 連結:	http://dx.doi.org/10.1016/j.chb.2016.10.012
DOI:	10.1016/j.chb.2016.10.012
Appears in Collections:	[資訊管理學系] 期刊論文

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