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J-GLOBAL ID:202402276816201135   Reference number:24A0273726

An Interpretable Framework for an Efficient Analysis of Students Academic Performance

学生の学業成績の効率的分析のための解釈可能なフレームワーク【JST・京大機械翻訳】
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Volume: 14  Issue: 14  Page: 8885  Publication year: 2022 
JST Material Number: U7281A  ISSN: 2071-1050  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
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Reference (56):
  • Sabi, H.M.; Uzoka, F.M.E.; Langmia, K.; Njeh, F.N. Conceptualizing a model for adoption of cloud computing in education. Int. J. Inf. Manag. 2016, 36, 183-191.
  • Ramírez-Montoya, M.S.; Andrade-Vargas, L.; Rivera-Rogel, D.; Portuguez-Castro, M. Trends for the Future of Education Programs for Professional Development. Sustainability 2021, 13, 7244.
  • Herodotou, C.; Rienties, B.; Hlosta, M.; Boroowa, A.; Mangafa, C.; Zdrahal, Z. The scalable implementation of predictive learning analytics at a distance learning university: Insights from a longitudinal case study. Internet High. Educ. 2020, 45, 100725.
  • Macfadyen, L.P.; Dawson, S. Mining LMS data to develop an “early warning system” for educators: A proof of concept. Comput. Educ. 2010, 54, 588-599.
  • Collberg, C.; Debray, S.; Kobourov, S.; Westbrook, S. Increasing Undergraduate Involvement in Computer Science Research. In Proceedings of the 8th World Conference on Computers in Education (WCCE), Cape Town, South Africa, 4-7 July 2005.
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