Understanding the Level of Self-Directed Learning and Decision-Making Style of Construction-Related Workers

Norhazren Izatie Mohd, Kherun Nita Ali, Shirin Shafiei Ebrahimi, Ahmad Faiz Azizi Ahmad Fauzi


Current serious game framework still lacks in fulfilling the user's requirements.  This is due to the framework elements which only focus on the process of delivery.  Hence, this study was carried out to determine user’s ability in self-directed learning and their styles in making a decision.  This study forms part of a larger research on a framework for serious game frameworks for hazard identification training modules.  A set of questionnaire consisting of three sections which are demographic, decision-making styles and levels of self-directed learning was designed.  In decision-making styles, 49 items are measured representing eight styles in decision making such as vigilant, dependent, avoidant, anxious, confident, spontaneous, brooding and intuitive.  Meanwhile, a self-rating scale consisting of 50 items was used to measure the level of self-directed learning such as awareness, learning strategies, learning activities, evaluation and interpersonal skills.  Data was collected from 319 construction-related workers and analysed using mean comparison and ANOVA.  Findings confirmed that their style of decision-making is inclined to ‘vigilant’ and ‘brooding’ types.  The results revealed two levels of self-directed learning, namely, the moderate level for supervisor and high level for general workers, skilled workers, consultants, management teams and safety trainees.  This level of self-directed learning is influenced by their level of education and working experiences.  The findings also highlight that decision-making style has a moderate relationship with the level of self-directed learning among construction-related workers.  The study contributes to the understanding of the construction workers' needs in enhancing their skills in becoming independent and lifelong learners


Decision-making style; Self-directed learning; Construction-related worker; Adult learning

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International Journal of Interactive Mobile Technologies (iJIM) – eISSN: 1865-7923
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