Leveraging Artificial Intelligence for Student-Centric Online Learning in Higher Education: Opportunities for Personalized Education and Engagement

Abstract: The integration of Artificial Intelligence (AI) in higher education has significantly transformed traditional teaching and learning models. By enabling adaptive learning environments, AI technologies offer personalized and student-centric experiences. This study explores the opportunities and challenges associated with implementing AI in online higher education platforms, with a focus on enhancing student engagement and performance. A descriptive research design and statistical tools like percentage analysis and chi-square test were used to analyze data from 125 students. The findings provide insights into the key factors affecting AI-driven education, and the study proposes recommendations to optimize its benefits.

Artificial Intelligence, Student-Centric Learning, Online Education, Higher Education, Adaptive Learning, Personalized Learning, EdTech, AI Integration

1. Holmes, W., Bialik, M., & Fadel, C. (2020). Artificial Intelligence in Education. Boston: Center for Curriculum Redesign. [Google Scholar] [Crossref]

2. Luckin, R. et al. (2021). Towards Artificial Intelligence-based Assessment Systems. Nature Machine Intelligence. [Google Scholar] [Crossref]

3. Roll, I., & Wylie, R. (2022). AI-based Learning Analytics in Higher Education. Educational Psychologist. [Google Scholar] [Crossref]

4. Selwyn, N. (2023). Should Robots Replace Teachers? AI and the Future of Education. Polity Press. [Google Scholar] [Crossref]

5. Dede, C. (2021). The Role of AI in Transforming Online Higher Education. Harvard Educational Review. [Google Scholar] [Crossref]

6. Baker, R.S., & Siemens, G. (2023). Educational Data Mining and Learning Analytics. Journal of Learning Analytics. [Google Scholar] [Crossref]

7. Williamson, B. (2023). AI, Education and Policy: Mapping the Political Landscape. Journal of Educational Policy. [Google Scholar] [Crossref]

8. Zhang, J. et al. (2024). Adaptive Learning Environments Using AI Tools. Journal of Educational Technology & Society. [Google Scholar] [Crossref]

9. Dignum, V. (2022). Responsible Artificial Intelligence. Springer. [Google Scholar] [Crossref]

10. Heffernan, N., & Heffernan, C. (2024). The ASSISTments Ecosystem: Building a Platform that Brings Scientists and Teachers Together for Minimally Invasive Research on Human Learning and Teaching. International Journal of Artificial Intelligence in Education. [Google Scholar] [Crossref]

• Wind Turbine Design for Low Wind Speed Applications: Advancing Renewable Energy Systems Through Wind Tunnel Experiments
• Fast Identification for Evidences in Crime Scene with Macroscopic Properties and Portable Techniques
• Evaluating the Impact of Hello Interval Timer on OSPF Performance for Real-Time Applications Using OPNET
• The Algorithmic Fortress: Ai-Powered Cybersecurity and Anti-Fraud in The Future of Fintech
• Accident Detection on Curved Roads Using Infrared Sensors in Hilly Regions A Case of Chadoora Tehsil, Badgam (J&K)