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タイトル: Learning Analytics for Humanities and Design Education
著者: MAJUMDAR, Rwitajit
BAKILAPADAVU, Geetha
Rajendran, Ramkumar
SAHASRABUDHE, Sameer
FLANAGAN, Brendan  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-7644-997X (unconfirmed)
CHEN, Meirong, Alice
OGATA, Hiroaki  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-5216-1576 (unconfirmed)
著者名の別形: 緒方, 広明
キーワード: Learning Analytics
LEAF
Humanities Education
Design Education
Critical Reading Activity
Sense making
発行日: 23-Nov-2020
出版者: Asia-Pacific Society for Computers in Education (APSCE)
誌名: 28th International Conference on Computers in Education Conference Proceedings
巻: 2
開始ページ: 154
終了ページ: 156
抄録: Many Learning Analytics interventions are created and adopted in the context of STEM disciplines and medical education for in class and online learning. However, the focus of using a learning analytics platform for humanities and design related courses are still rare. This position paper focuses on the need of interdisciplinary work to bridge the humanities and design faculties with the learning analytics community and possible research agenda. We illustrate how the Learning Evidence Analytics Framework (LEAF) can be used to probe the learning processes in the context of the humanities and design related topics.
記述: 28th International Conference on Computers in Education, 23-27 November 2020, Web conference.
著作権等: Copyright 2020 Asia-Pacific Society for Computers in Education.
許諾条件に基づいて掲載しています。
URI: http://hdl.handle.net/2433/259805
出現コレクション:学術雑誌掲載論文等

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