Research Article

User Interfaces in Future Generation Learning Management Systems using Explainable AI

by  Ashis Kumar Pradhan, A.R. Routray, Bhabanisankar Jena
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Issue 112
Published: June 2026
Authors: Ashis Kumar Pradhan, A.R. Routray, Bhabanisankar Jena
10.5120/ijca1419cd37bedb
PDF

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 (June 2026), 55-58. DOI=10.5120/ijca1419cd37bedb

                        @article{ 10.5120/ijca1419cd37bedb,
                        author  = { Ashis Kumar Pradhan,A.R. Routray,Bhabanisankar Jena },
                        title   = { User Interfaces in Future Generation Learning Management Systems using Explainable AI },
                        journal = { International Journal of Computer Applications },
                        year    = { 2026 },
                        volume  = { 187 },
                        number  = { 112 },
                        pages   = { 55-58 },
                        doi     = { 10.5120/ijca1419cd37bedb },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2026
                        %A Ashis Kumar Pradhan
                        %A A.R. Routray
                        %A Bhabanisankar Jena
                        %T User Interfaces in Future Generation Learning Management Systems using Explainable AI%T 
                        %J International Journal of Computer Applications
                        %V 187
                        %N 112
                        %P 55-58
                        %R 10.5120/ijca1419cd37bedb
                        %I Foundation of Computer Science (FCS), NY, USA
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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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Explainable Artificial Intelligence (XAI) Cognitive Load Optimization Educational Data Mining Learning Management Systems (LMS)

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