Adaptive Learning and Analytics in Engineering Education
Rajesh Chandrasekhara Panicker, Akash S. Kumar, Dipti Srinivasan, Deepu John · 2018
The fact that different students have different ability levels and learning patterns limit the effectiveness of traditional one-size-fits-all classroom-based teaching. It is difficult to accomplish a learning methodology tailored to individual students in large classes with traditional teaching methods. In this work-in-progress paper, an adaptive learning system, employing a rule-based logic was developed and tested for three undergraduate student courses. The questions were served to students adaptively by the computer, based on their level of understanding. The analytics from the system can act as a feedback to the instructor. Some limitations and practical issues, as well as suggestions for improvement are discussed.