Personalized Learning

This self-contained monograph reports the recent approaches, methods and practices of technology-enabled personalized learning. It serves to provide some useful references for researchers and practitioners in the field in conceptualizing and deploying personalized learning.

Simon K.S. Cheung is currently the Director of IT in Hong Kong Metropolitan University. He is active in research, with over 200 publications in the form of books, book chapters, journal articles and conference papers in two distinct areas, namely, innovation and technology in education, and software and systems engineering. Fu Lee Wang is currently Professor and the Dean of Science and Technology in Hong Kong Metropolitan University. He has widely engaged in research in areas pertaining to applied algorithm, educational technology, information retrieval and machine learning, with over 200 articles in refereed journals and conference proceedings. Lam For Kwok is currently Governor in HKCT Institute of Higher Education. Prior to this, he was an Associate Professor in the Department of Computer Science in City University of Hong Kong. His research interests include information security and management, computers in education and smart learning environment. Petra Poulová is currently Associate Professor and the Vice Dean for Development and International Affair of the Faculty of Informatics and Management in University of Hradec Králové. Her research interests include IT in teaching and learning, learning and teaching styles, social networking, and database and information systems.

1. Toward Good Practices of Personalized Learning 2. Features and Trends of Personalised Learning: A Review of Journal Publications from 2001 to 2018 3. Personalized Learning in Microscopic Method for Identification of Herbal Medicines 4. Use of Fitness Trackers in a Blended Learning Model to Personalize Fitness Running Lessons 5. Use of Virtual Medical Cases as a Learning Tool in Medicine 6. Comparing the Effectiveness of Two Remedial Mathematics Courses Using Modern Regression Discontinuity Techniques 7. A Comparative Study on Linguistic Theories for Modelling EFL Learners: Facilitating Personalized Vocabulary Learning via Task Recommendations 8. Effects of Interactive Whiteboard-Based Classroom Instruction on Students' Cognitive Learning Outcomes: A Meta-Analysis 9. Designing Blended Learning Environments with Thinking Tool Strategies: Examining a Chinese Teacher's Decision-making and Beliefs 10. Design and Validation of a Diagnostic MOOC Evaluation Method Combining AHP and Text Mining Algorithms 11. CRESDA: Towards a Personalized Student Advisory for Professional Development 12. The Prospects of Personalized Learning