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 proposed framework offers a viable solution to integrate learning behavior analytics into customized LMS for evidence-based instruction decision making, effective online learning environment, and sustainable digital education in line with SDG 4 (Quality Education).
Marwan Ali Shnan, M. A. Ahmed· ESTIDAMAA· 0 citations
It is suggested that adaptive recommendations can effectively nudge learner decisions in an adaptable SLE while the possibility for choice is appreciated, yielding learning outcomes comparable to a fully adaptive system.
André Meyer, Gunnar Friege· Frontiers in Education· 0 citations
The Augmented Reality, Inquiry-Based Personalized Gaming (ARIPG) framework integrates the strengths of Augmented Reality, inquiry-based learning, and personalized learning to compensate for the limitations inherent in each approach, resulting in a more coherent and balanced learning model.
Narisra Komalawardhana, P. Panjaburee· International Journal of Inf...· 0 citations
Overall, the findings indicate that ALS can support personalized, inclusive, and data-informed instruction while enhancing learner engagement and pedagogical adaptability across diverse classroom environments.
A. E. Ayeoribe, Olarewaju Peter Ayeoribe· Journal of Smart Computing a...· 2 citations
The findings reveal that personalized learning experiences have a positive and significant effect on educational accessibility, enabling learners with different backgrounds, abilities, and learning preferences to engage more effectively in the learning process.
Erika Erika, Arthur Simanjuntak, Ika Yuni Purnama et al.· Jurnal MENTARI: Manajemen, P...· 0 citations
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