SURYANARAYANA RAO: A FORGOTTEN REFORMER OF KERALA RENAISSANCE
March 31, 2025ADAPTIVE LEARNING WITH EXPERT SYSTEMS: AN AI-DRIVEN APPROACH TO E-LEARNING
Meenakshi Chaturvedi
Professor, Dean of Research, and Head of the BCA Department at the Trinity Institute of Innovations in Professional Studies, Greater Noida, Uttar Pradesh, India.
Abstract
The integration of Expert Systems with Artificial Intelligence (AI) in the field of education and e-learning offers a transformative approach to personalized learning and intelligent tutoring. This article explores the architecture, components, and implementation strategies of Expert Systems, highlighting their role in enhancing educational experiences. By simulating human expertise, these systems provide tailored learning paths, automated assessments, and real-time support to learners. The discussion is further enriched with practical examples, web chart visualizations, and a detailed workflow analysis. The study underscores the potential of Expert Systems to revolutionize traditional education by delivering adaptive, efficient, and consistent learning solutions, thereby paving the way for a more inclusive and dynamic e-learning environment.
Keywords
adaptive learning, expert systems, AI-driven approach, e-learning
References
Durkin, J. (1994). Expert Systems: Design and Development. Macmillan Publishing.
Jackson, P. (1999). Introduction to Expert Systems. Addison-Wesley.
Khan, S., & Alam, M. (2023). “The Role of AI in Modern E-Learning Systems.” Journal of Educational Technology, 18(2), 112-120.
Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (fourth Ed.). Pearson.
Smith, R. (2022). “Implementing Expert Systems in Education.” International Journal of AI in Education, 30(3), 250-265.
To cite this article
Meenakshi Chaturvedi. (2025). Adaptive Learning with Expert Systems: An Ai-Driven Approach to E-Learning. John Foundation Journal of EduSpark, 7(1), 1-8.