An Intelligent Technical and Vocational Education and Training (TVET) Course Recommendation System based on the Trainee’s Aptitude
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Date
2025-01-20
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UMT,Lahore
Abstract
Personality encompasses the distinct patterns of thoughts, emotions, and behaviors that
differentiate individuals and typically remain stable throughout one's life. Aligning these individual
traits with learning aptitudes holds promise for improving course outcomes, maximizing returns on
investment, and reducing dropout rates significantly. This interdisciplinary research bridges
insights from Computer Science (CS) and Human Psychology by analyzing data from Technical
and Vocational Education and Training (TVET) programs, focusing on the Big Five Personality
traits (BFI). This study marks a pioneering effort in both the Pakistani and global TVET sectors,
linking TVET learning skills with individual personalities. We have addressed important ethical
considerations, including data privacy and informed consent, ensuring the responsible use of human
subjects in this study.