Authors : Maheshkumar S. Patil , Tukaram K. Gawali, Ishwar S. Jadhav
DOI : 10.46335/IJIES.2025.10.7.9
Abstract –Timetable scheduling in educational institutions is a complex optimization problem that involves balancing multiple constraints such as teacher availability, classroom capacity, and student preferences. Traditional approaches often rely on heuristic or rule-based methods, which lack transparency and adaptability. Explainable AI (XAI) offers a promising solution by providing interpretable and transparent decision-making processes. This paper explores the application of XAI techniques to timetable scheduling in education, focusing on improving transparency, fairness, and efficiency. A case study is conducted to evaluate the effectiveness of the proposed approach, demonstrat- ing its ability to generate optimal timetables while providing clear explanations for the scheduling decisions. The results highlight the potential of XAI to revolutionize timetable scheduling in education, ensuring both efficiency and stakeholder satisfaction.
