| dc.contributor | 資管系 | - |
| dc.creator (作者) | Hsiao, I-Han ; Lin, Yi‐ling | - |
| dc.creator (作者) | 林怡伶 | - |
| dc.date (日期) | 2017 | - |
| dc.date.accessioned | 23-六月-2017 17:26:26 (UTC+8) | - |
| dc.date.available | 23-六月-2017 17:26:26 (UTC+8) | - |
| dc.date.issued (上傳時間) | 23-六月-2017 17:26:26 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/110474 | - |
| dc.description.abstract (摘要) | 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. | - |
| dc.format.extent | 1905944 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | Computers in Human Behavior,Volume 72, Pages 771–782 | - |
| dc.subject (關鍵詞) | Semantic indexing; Automatic indexing; Visual analytics; Interactive visualization; Learning analytics; Programming learning | - |
| dc.title (題名) | Enriching programming content semantics: An evaluation of visual analytics approach | - |
| dc.type (資料類型) | article | - |
| dc.identifier.doi (DOI) | 10.1016/j.chb.2016.10.012 | - |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1016/j.chb.2016.10.012 | - |
