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User Interfaces in Future Generation Learning Management Systems using Explainable AI
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 112 |
| Year of Publication: 2026 |
| Authors: Ashis Kumar Pradhan, A.R. Routray, Bhabanisankar Jena |
10.5120/ijca1419cd37bedb
|
Ashis Kumar Pradhan, A.R. Routray, Bhabanisankar Jena . User Interfaces in Future Generation Learning Management Systems using Explainable AI. International Journal of Computer Applications. 187, 112 ( Jun 2026), 55-58. DOI=10.5120/ijca1419cd37bedb
Abstract
With the increasing popularity of online education systems, it has become apparent that existing learning management systems have their shortcomings. The most obvious one is that their user interfaces are not adaptable. Thus, this research article will focus on proposing a new framework for explainable adaptive user interfaces (EAUIs). They will change according to the behavior, cognitive load, and affective states of the learner. Furthermore, they will provide clear explanations for why some features are implemented. These explainable and adaptive user interfaces can significantly improve the learner's engagement with the course content and lead to more efficient learning.
References
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