Talent Intelligence in TVET Work-Based Learning: A Quantitative Analysis of Creative Problem Solving and Technological Literacy
List of Authors
Aunie Afiqah Omar, Muhammad Amin-Nul Aiman Anuar, Muhammad Haziq Mazlan, Muhammad Ikhwan Hafiz Bahrum, Nur Aini Shuhada Ab Razak, Rosnawati Buhari, Saifullizam Puteh
Keyword
Talent Intelligence, Work-Based Learning, Creative Problem Solving, Technological Literacy, TVET, IR 4.0
Abstract
This study investigates the level of Talent Intelligence among Bachelor of Technology students at Universiti Tun Hussein Onn Malaysia (UTHM) within the framework of Work-Based Learning (WBL), with particular emphasis on two key constructs: Creative Problem Solving and Technological Literacy. Anchored in the demands of Industry 4.0, the study aligns with national aspirations to develop future-ready Technical and Vocational Education and Training (TVET) graduates. A quantitative research design was employed using a stratified random sampling technique involving 149 students from three faculties. The research instrument underwent expert validation and demonstrated high reliability (Cronbach’s alpha > 0.90). Descriptive findings revealed high mean scores for both constructs (Creative Problem Solving = 4.13; Technological Literacy = 4.19), indicating a strong level of Talent Intelligence among the respondents. Inferential analysis using the Mann-Whitney U test showed a statistically significant gender difference in Creative Problem Solving, while no significant difference was identified for Technological Literacy. The findings underscore the effectiveness of WBL in enhancing both cognitive and digital competencies among TVET students. However, the study highlights the need for continuous curricular enhancement to strengthen creativity, integrate industry-relevant digital skills, and ensure inclusive learning practices. Future research is recommended to adopt mixed method approaches to provide a more comprehensive understanding of Talent Intelligence development across diverse learner profiles.