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Educational Data Analytics for Teachers and School Leaders
Educational Data Analytics (EDA) have been attributed with significant benefits for enhancing on-demand personalized educational support of individual learners as well as reflective course (re)design for achieving more authentic teaching, learning and assessment experiences integrated into real work-oriented tasks.
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Detail Information
- Series Title
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Advances in Analytics for Learning and Teaching
- Call Number
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XII, 238
- Publisher
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Springer Cham :
Springer Cham.,
2022
- Collation
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- Language
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English
- ISBN/ISSN
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978-3-031-15266-5
- Classification
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NONE
- Content Type
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text
- Media Type
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computer
- Carrier Type
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online resource
- Edition
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1
- Subject(s)
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- Specific Detail Info
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- Statement of Responsibility
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Sofia Mougiakou
Other Information
- Cataloger
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Suwardi
- Source
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https://link.springer.com/book/10.1007/978-3-031-15266-5
- Validator
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- Digital Object Identifier (DOI)
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- Journal Volume
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- Journal Issue
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- Subtitle
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Other version/related
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