Assessing the Impact of Digital Simulation Tools on Technical Skills Acquisition in Vocational Education

Thesis Abstract

The rapid integration of digital simulation tools into vocational education necessitates an empirical evaluation of their effectiveness in enhancing technical skills acquisition among learners. This study investigates the impact of digital simulation technology on the development of practical competencies in automotive maintenance among vocational students in manufacturing institutes. It aims to fill the gap in current literature regarding the efficacy of simulation-based training methods in vocational settings, particularly within the context of technical skills training. The specific objectives are to determine whether the use of digital simulation tools significantly improves students’ skill levels, identify key factors influencing effective skills acquisition through simulation, and compare outcomes between traditional hands-on training and simulation-supported instruction. The research adopts a quasi-experimental design involving a sample of 120 vocational students enrolled in automotive maintenance courses at a technical college over a single academic semester. Participants are randomly assigned into two groups an experimental group receiving instruction supplemented with digital simulation tools and a control group relying solely on conventional practical methods. Data collection instruments include a validated practical skills achievement test, pre- and post-intervention questionnaires assessing students’ perceptions and attitudes toward simulation, and observation checklists during practical sessions. The validity and reliability of these instruments are established through expert reviews and a pilot study, resulting in Cronbach’s alpha coefficients exceeding 0.85. Quantitative data are analyzed using descriptive statistics, paired t-tests to evaluate within-group improvements, and ANCOVA to assess differences between groups while controlling for baseline skills. Multiple regression analysis identifies predictors of successful skills acquisition, focusing on variables such as prior experience, engagement level, and attitude towards technology. Qualitative data from open-ended questionnaire responses and observational notes are subjected to thematic analysis, providing contextual insights into students’ experiences and perceived challenges with simulation adoption. It is anticipated that the findings will demonstrate a statistically significant improvement in practical skills among students utilizing digital simulation tools compared to their counterparts in traditional training. Furthermore, the study expects to reveal that positive perceptions of simulation technology, high engagement levels, and intrinsic motivation correlate strongly with skill gains. The research also aims to uncover potential barriers to effective simulation integration, including technical issues and resistance to change among educators. This study contributes to the emerging body of knowledge by providing rigorous empirical evidence on the effectiveness of digital simulation in vocational education, grounded in the application of the Theory of Planned Behavior and the Constructivist Learning Theory. By elucidating the relationship between simulation use and skill development, the research informs policy and curriculum design, advocating for broader adoption of simulation-based pedagogies in technical training programs. It also offers practical recommendations for enhancing the deployment and pedagogical integration of digital simulations to maximize their impact. The principal conclusion is that digital simulation tools significantly facilitate technical skills acquisition when effectively integrated into vocational curricula. Based on the findings, it is recommended that vocational institutions invest in high-quality simulation resources, train educators in active facilitation techniques, and incorporate simulation activities into assessment frameworks. Future research should explore longitudinal effects of simulation training on employability and skill retention, as well as investigate the integration of emerging technologies such as augmented reality to augment traditional simulation methods.