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J-GLOBAL ID:201802248863328980   Reference number:18A0657211

Development of the Learning Analytics Platform

ラーニング・アナリティクスシステム基盤の構築
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Volume: 2018  Issue: CLE-24  Page: Vol.2018-CLE-24,No.5,1-4 (WEB ONLY)  Publication year: Mar. 13, 2018 
JST Material Number: U0451A  Document type: Proceedings
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Reference (19):
  • “JMOOC”. https://www.jmooc.jp/en/, (参照 2018-02-26).
  • New Media Consortium. Learning Analytics and Adaptive Learning. NMC Horizon Report: 2016 Higher Education Edition, 2016, p.38-39.
  • Bouchet, F., Kinnebrew, J., Biswas, G. and Azevedo, R., 2012, Identifying Students' Characteristic Learning Behaviors in an Intelligent Tutoring System Fostering Self-Regulated Learning. Proceedings of the 5th International Conference on Educational Data Mining, p.65-72.
  • Peckham T. and McCalla, G., 2012, Mining Student Behavior Patterns in Reading Comprehension Tasks. Proceedings of the 5th International Conference on Educational Data Mining, p.87-94.
  • Jihyun Park, Kameryn Denaro, Fernando Rodriguez, Padhraic Smyth, and Mark Warschauer, 2017, Detecting changes in student behavior from clickstream data. In Proceedings of the Seventh International Learning Analytics & Knowledge Conference (LAK '17). ACM, New York, NY, USA, p.21-30. https://doi.org/10.1145/3027385.3027430
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