• Covers learning analytics’ real-time uses in adaptive
instruction, self-regulated learning, and individualized
instruction and their capacity to aggregate data for entire
courses, instructors, academic programs, and different student
populations. • Unpacks the technological terms and approaches
surrounding data analytics to help readers better understand the
research base. • Includes foundational history, literature
review, theoretical frameworks, evolving models, developments in
artificial intelligence software and algorithms, and beyond.
General
| Imprint: |
Taylor & Francis
|
| Country of origin: |
United Kingdom |
| Release date: |
August 2023 |
| First published: |
2023 |
| Editors: |
Patsy D. Moskal
• Charles D. Dziuban
• Anthony G. Picciano
|
| Dimensions: |
229 x 152mm (L x W) |
| Pages: |
334 |
| ISBN-13: |
978-1-03-215470-1 |
| Categories: |
Books
|
| LSN: |
1-03-215470-5 |
| Barcode: |
9781032154701 |
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