Advancing Personalized Learning through Educational Artificial Intelligence: Challenges, Opportunities, and Future Directions

Afiya Dembe H.

Faculty of Education Kampala International University Uganda

ABSTRACT

Educational Artificial Intelligence (EAI) holds immense promise in transforming traditional learning paradigms by integrating artificial intelligence and learning science to create personalized learning systems. This paper explores the critical role of EAI in advancing personalized learning, addressing challenges, highlighting opportunities, and proposing future directions. Leveraging insights from learning science and AI, EAI systems aim to tailor learning experiences to individual student needs, preferences, and learning styles. However, the complexity of data, ethical considerations, and scalability issues pose significant challenges. Addressing these challenges requires a multidimensional approach involving stakeholders such as educators, policymakers, and learners themselves. The paper discusses the foundational principles of personalized learning, the role of machine learning and AI algorithms, adaptive learning technologies, and ethical considerations surrounding data privacy and bias. Furthermore, it examines the evolving landscape of AI in education, emphasizing the need for transparency, fairness, and scalability in AI-powered personalized learning systems. Finally, the paper outlines future directions, emphasizing the importance of integrated assessment features, continuous improvement in AI algorithms, and bridging the gap between research and real-world implementation.

Keywords: Educational Artificial Intelligence, Personalized Learning, Machine Learning, Adaptive Learning Technologies, Data Privacy, Bias and Fairness, Challenges, Opportunities, Future Directions

CITE AS: Afiya Dembe H. (2024). Advancing Personalized Learning through Educational Artificial Intelligence: Challenges, Opportunities, and Future Directions. RESEARCH INVENTION JOURNAL OF ENGINEERING AND PHYSICAL SCIENCES 3(1):89-101.