Abstract
Despite increased funding opportunities, research, and institutional investment, there remains a paucity of realized large-scale implementations of learning analytics strategies and activities in higher education. The lack of institutional exemplars denies the sector broad and nuanced understanding of the affordances and constraints of learning analytics implementations over time. This chapter explores the various models informing the adoption of large-scale learning analytics projects. In so doing, it highlights the limitations of current work and proposes a more empirically driven approach to identify the complex and interwoven dimensions impacting learning analytics adoption at scale.
| Original language | English |
|---|---|
| Title of host publication | Handbook of Learning Analytics |
| Editors | Charles Lang, George Siemens, Alyssa Wise, Dragan Gašević |
| Place of Publication | USA |
| Publisher | Society for Learning Analytics Research |
| Chapter | 24 |
| Pages | 281-289 |
| Number of pages | 9 |
| Edition | 1st |
| ISBN (Print) | 9780995240803 |
| Publication status | Published - 2017 |
| Externally published | Yes |
Keywords
- Learning analytics adoption
- Learning analytics uptake
- Leadership
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