Jul 2026· International Conference Computing Methodologies and Communication· pp. 1756-1761· 0 citations· 15 references
Abstract
The adaptive learning system described in this research incorporates several different elements in order to provide each student (learner) with a rich and interactive learning environment. The four components work together to provide the authentication and identification of each learner as well as personalized content delivery and gamification elements (e.g., points, badges, etc.) that drive learners' motivation to participate in the game or learning experience. Over eight weeks, 200 learners evaluated the adaptive learning system and saw a 73% gain in their overall learning; averaged 15 hours of use per student; and achieved approximately 85% mastery on the modules within the system. In addition to these gains, the gamification components also provided added motivation to the learners, and the analytics component indicated areas where learners needed to focus additional effort in order to improve performance. In conclusion, the authors of the paper indicate that the adaptive learning system developed was a success in meeting the goal of providing personalized and effective learning experiences, increasing learner engagement, and continuing to provide motivation for learners to participate in the learning process.
Based on the results of all evaluations performed, it has been found that AI-based adaptive learning systems provide greater motivation, more successfully comprehend course content, and a higher level of academic performance compared to the use of traditional mobile learning apps.
Jayaprakash Sunkavalli, Nishant Kumar, Rama Krishna Yellapragada et al.· International Journal of Int...· 0 citations
The Learning Management System (LMS) has emerged as a key platform for e-learning and as an agent to create massive amounts of data about learners' interactions, which can be used for educational decision making. Yet, many LMS systems that are in place today only capture students' behaviors, but fail to make them relev...
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Adaptive Learning Systems (ALS) have emerged as intelligent educational technologies for supporting personalized instruction, learner engagement, and educational equity; however, empirical evidence regarding their effectiveness across diverse classroom environments remains limited. This study evaluated the effectivenes...
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The rapid development of digital learning technologies has transformed educational practices by enabling more personalized and accessible learning experiences in e-learning environments. As a Background, adaptive technologies have emerged as a promising approach to address diverse learner needs and improve educational...
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