Artificial Intelligence-Based Adaptive Learning Systems for Sustainable Education and Knowledge Management: A Systematic Literature Review

This systematic literature review examines the role of artificial intelligence-based adaptive systems in advancing sustainable education and effective knowledge practices, with particular attention to agricultural and rural development contexts. With the growing demand for flexible and learner-centered educational models, intelligent technologies have increasingly been integrated into digital learning environments to support individualized instruction and data-informed educational management. This review synthesizes research published between ۲۰۱۴ and ۲۰۲۵, focusing on how technologies such as machine learning, natural language processing, and learning analytics contribute to the development of dynamic and responsive learning environments. The analysis highlights key research themes, including the design of personalized learning pathways, the use of real-time feedback mechanisms to enhance learner engagement, and the application of predictive analytics to support performance improvement. A dedicated analysis examines how AI-enabled adaptive platforms can enhance agricultural knowledge management, support farmer education, and facilitate sustainable farming transitions through context-specific, technology-mediated learning. The review also explores how these platforms interact with organizational knowledge processes to facilitate continuous learning and informed decision-making in educational and extension institutions. Despite the potential benefits, several challenges remain, including concerns related to data governance, algorithmic bias, digital infrastructure limitations in rural areas, and the need for teacher and extension agent preparedness and institutional support. The findings emphasize the importance of responsible implementation, interdisciplinary collaboration, and sustainable strategies for integrating intelligent technologies into agricultural and general education. Overall, this study provides a comprehensive overview of current developments, research gaps, and future directions for AI-enabled adaptive learning in diverse educational systems, including vocational and agricultural extension settings.

کلیدواژه ها:

Educational data mining ، Digital learning environments ، Intelligent tutoring systems ، Learning analytics ، Personalized learning ، Sustainable agriculture