This book explores Learning Analytics (LA) programmes and practices in Malaysia as well as looking at the underlying forces, dilemmas and policy challenges for quality assurance in higher education institutions (HEIs).
This chapters provide a comprehensive discussion of trends in academic quality assurance in higher education. It articulates a combination of theoretical issues and empirical analysis and offers a comprehensive guide to stakeholders in Management and Faculty on LA implementation in HEIs where the model in this book can be used to pave the way for a successful LA initiative. Learning Analytics is an emerging multidisciplinary technological practice with the ultimate goal of producing effective learning to improve students’ achievement in the tertiary level.
The Learning Analytics model of Quality Assurance in this book is an essential guide for any faculty or manager in higher education, or researchers in higher education and learning analytics.
This book explores Learning Analytics (LA) programmes and practices in Malaysia as well as looking at the underlying forces, dilemmas and policy challenges for quality assurance in higher education institutions (HEIs).
1. The World of Learning Analytics
2. Pertinent Theories and Concepts
for AI-powered Education
3. Epistemological Reflection on Current Issues of
Students Learning Process and Learning Outcome
4. LA Implementation, Issues
and Challenges the Way Forward
5. QA in Higher Education
6. LA and QA How
Does It Matter?
Soo Mang Lim is the Lecturer in ELM Graduate School HELP University Malaysia, also the Head of Department of the School of Hospitality and Tourism HELP University Malaysia
Husaina Banu Kenayathulla is an Associate Professor in the Department of Educational Management, Planning and Policy, Faculty of Education in the University of Malaya, Malaysia
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