“How Adaptive Learning Improves e-Learning Effectiveness: Content Fit Triggers Knowledge Internalization” by Dr. Dongming XU
Dr. Dongming XU
Senior Lecturer in Information Systems
UQ Business School
The University of Queensland
Over the years, virtual learning has exerted a significant impact on the traditional education sector. Past research related to e-learning has mainly focused on the convenience and mobility – in terms of time and space – of virtual learning. Adaptive e-learning moves forward to focus on how to match course delivery with different characteristics of online learners. Although various studies showed that personalization could improve learning achievements, the underlying mechanisms behind this remain largely unclear. Going beyond the recognition of fit, we propose to explain how the fit between learner characteristics and course content may improve learning effectiveness in online learning environments. In particular, we introduce the concept of knowledge internalization and theorise that knowledge internalization acts as a major mechanism through which the fit of course material to different learners improves their learning performance. Using data from an experiment of 301 undergraduate students, this study empirically validated the role of knowledge internalization in the association of content fit with adaptive learning and learning effectiveness.