Description
Learning Analytics can be defined as the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs. The increased adoption of online learning and teaching due to COVID-19 and emerging Quality Management practises in which the analysis of data collected from user interactions with educational and information technology has become an essential consideration. These changes have necessitated institutions to embrace the systematic and strategic adoption of practises relating to big data/learning analytics and associated practises, processes and policy for institutional readiness to embrace this emerging field. If we then in parallel consider the field of Internationalisation and the challenges brought about to the broader ecosystem of higher education, these become complex issues of particular relevance. This presentation will introduce the field of learning analytics and present a possible model and associated challenges for systemic adoption of learning analytics as relevant to Quality Management. This topic will be of particular relevance as the elected Audit Theme for the thirdround audit cycle in Hong Kong from the QAC, taking advantage of the collection, analysis and usage of the data.| Period | 12 Mar 2022 |
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| Event title | Symposium on Internationalisation and Quality Management in Higher Education 2022 |
| Event type | Symposium |