Ma Dong
ABSTRACT
This study aimed to develop and evaluate a School-Enterprise On-the-Job Training (OJT) Information Management System with embedded decision support to address persistent issues in training coordination, monitoring, and data utilization. Using the Technology-Organization-Environment (TOE) framework and the Agile Scrum methodology, a mixed-methods approach was employed: qualitative methods identified user requirements, while quantitative measures assessed system quality based on ISO/IEC 25010 Software Quality Standards. The developed system integrates trainee profiling, task assignment, real-time progress tracking, and decision analytics powered by artificial intelligence and data mining algorithms. Evaluation results showed very high compliance across all eight ISO software quality dimensions, including functionality, usability, and security, with mean ratings exceeding 4.30. These findings demonstrate the system’s technical robustness, user-friendliness, and practical relevance for both educational and enterprise environments, offering a scalable, data-driven solution for improving school-enterprise OJT program management and providing a model for digital transformation in vocational education.
Keywords: Agile development, decision support, information system, on-the-job training, vocational education
https://doi.org/10.57180/rthh8889