A Management Analysis of Class Timetabling and Academic Performance Among Mechanical Engineering Students at Nueva Ecija University of Science and Technology

This study examines the relationship between class timetabling management and academic performance of Mechanical Engineering students at the Nueva Ecija University of Science and Technology (NEUST). Using a descriptive-correlational design, data from 250 students were analyzed based on scheduling factors and General Weighted Average (GWA). Results show that early and late class schedules, subject clustering, and inadequate breaks contribute to cognitive fatigue and lower academic performance. A significant negative correlation was found between poor scheduling and GWA. The study highlights the importance of cognitively aligned scheduling and recommends improved timetabling strategies to enhance student learning outcomes.