Personalized Learning Paths: Leveraging Data Analytics for Tailored Education

Sylvie Beatrice E.

Faculty of Business and Management Kampala International University Uganda

ABSTRACT

Personalized learning, a paradigm that adapts educational experiences to individual learners’ needs, has gained significant traction with advancements in data analytics. This paper explores how data-driven methodologies enhance the development and implementation of personalized learning paths. It reviews historical and contemporary models of personalized education, emphasizing the role of data analytics in shaping adaptive learning systems and competency-based education. Through case studies, such as Khan Academy and Duolingo, the paper demonstrates the practical application and benefits of personalized learning paths. Additionally, the paper addresses ethical considerations surrounding the use of data in education and anticipates future trends in personalized learning, including the potential implications of AI and big data.

Keywords: Personalized Learning, Data Analytics in Education, Adaptive Learning Systems, Competency-Based Education, Educational Data Mining.

CITATION: Sylvie Beatrice E. Personalized Learning Paths: Leveraging Data Analytics for Tailored Education. Research Output Journal of Education, 2024 3(3):34-40.