Impact of learning analytics feedback on self-regulated learning: Triangulating behavioural logs with students' recall
Learning analytics (LA) has been presented as a viable solution for scaling timely and personalised feedback to support students' self-regulated learning (SRL). Research is emerging that shows some positive associations between personalised feedback with students' learning tactics and stra...
| 出版年: | ACM International Conference Proceeding Series |
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| 第一著者: | |
| フォーマット: | Conference paper |
| 言語: | English |
| 出版事項: |
Association for Computing Machinery
2021
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| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103919433&doi=10.1145%2f3448139.3448174&partnerID=40&md5=17c141b4ae4eee574427c3d1deefd66b |