Design and Development of an Adaptive Smart Learning Platform (SmartEdu-AUI) Based on Artificial Intelligence and Learning Analytics to Enhance User Experience in Smart Learning Systems
DOI:
https://doi.org/10.65405/hzbmfs40Keywords:
Artificial Intelligence, Smart Education, Adaptive User Interfaces, User Experience, Learning Analytics, SmartEdu-AUI.Abstract
Intelligent educational systems have become one of the most significant applications of Artificial Intelligence (AI) in the education sector due to their advanced capabilities in personalizing educational content and enhancing the learning experience. Despite the continuous evolution of e-learning platforms, most existing systems still rely on static user interfaces that deliver educational content and services in the same manner to all users, without considering individual differences in technical expertise, knowledge level, or educational interests. This study aims to design and develop an adaptive intelligent educational platform called SmartEdu-AUI, which integrates Artificial Intelligence, Learning Analytics, and User Modeling techniques to improve user experience within intelligent educational systems. An interactive prototype of the platform was developed, incorporating several key functionalities, including learner profile creation, diagnostic assessments, educational interest identification, academic performance monitoring, and an intelligent adaptation engine capable of analyzing user data and dynamically making adaptive decisions. Furthermore, an integrated architectural framework consisting of six interconnected layers was developed, including the learner profile, data collection, learning analytics, artificial intelligence engine, decision-making layer, and adaptive user interface. This framework contributes to providing a personalized learning experience that continuously adapts to learners’ needs, behavior, and performance. The expected outcomes indicate that the proposed platform can enhance user engagement and satisfaction, support personalized learning, and improve the overall effectiveness of the educational process compared with traditional educational systems. Consequently, the platform represents a promising model for the development of the next generation of intelligent educational systems.
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References
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