| Autor: |
Armatas, Christine, Tse, Ada, Chun Sang Chan |
| Předmět: |
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| Zdroj: |
ICICTE Proceedings; 2022, p21-31, 11p |
| Abstrakt: |
A case-study is presented on how COVID-19 both accelerated and expanded learning analytics (LA) implementation at a Hong Kong university. Two change management models, one specific to LA, informed the actions taken to address the urgent need for data about students' learning behaviour and outcomes during the period of fully online learning enforced by the pandemic. This case-study illustrates how it is possible to be adaptable and agile in using disruptive forces to drive organizational change in a way that would otherwise be difficult, while still delivering outcomes consistent with organizational goals. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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