Analytics of time management and learning strategies for effective online learning in blended environments

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Analytics of time management and learning strategies for effective online learning in blended environments

This paper reports on the findings of a study that proposed a novel learning analytics methodology that combines three complimentary techniques - agglomerative hierarchical clustering, epistemic network analysis, and process mining. The methodology allows for identification and interpretation of sel...

書誌詳細
出版年:	ACM International Conference Proceeding Series
第一著者:	Uzir N.A.A.; Gaševic D.; Jovanovic J.; Matcha W.; Lim L.-A.; Fudge A.
フォーマット:	Conference paper
言語:	English
出版事項:	Association for Computing Machinery 2020
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082385367&doi=10.1145%2f3375462.3375493&partnerID=40&md5=bbc6e041f77d5fa0c3137c729af6f990

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