Assessing the Impact of Blended Learning on Technical Skills Development in Vocational Education

Thesis Abstract

The rapid integration of digital technologies in vocational education necessitates an empirical assessment of how blended learning impacts the development of technical skills among students. This study investigates the influence of blended learning methodologies on technical skill acquisition, aiming to provide evidence-based insights that can enhance pedagogical strategies within vocational training institutions. The specific objectives are to evaluate the comparative effectiveness of blended versus traditional instructional methods on students’ technical competencies, identify key factors mediating learning outcomes, and examine students’ perceptions and engagement levels associated with blended learning environments. Employing a mixed-methods research design, the study combines quantitative and qualitative approaches to capture a comprehensive understanding of the phenomena. The population comprises 300 students enrolled in vocational programs specializing in electrical installation and maintenance at a technical college in the region. A stratified random sampling technique was used to select 150 students for the quantitative phase and 20 students for in-depth interviews in the qualitative phase. Quantitative data were collected through standardized technical skills assessment tests and Likert-scale questionnaires measuring engagement, motivation, and perceived learning efficacy. Qualitative data were gathered via semi-structured interviews exploring students’ experiences and trainers’ perspectives on the implementation of blended learning modalities. The validity and reliability of the instruments were established through expert reviews, pilot testing, and calculation of Cronbach’s alpha coefficients exceeding 0.85 for all scales. Data analysis involved descriptive statistics to summarize demographic and preliminary data, while inferential statistics such as t-tests and multiple regression analyses assessed the impact of blended learning on technical skills progression. Thematic analysis was employed to interpret qualitative interview data, providing contextual insights into learner experiences. Structural Equation Modeling (SEM) was applied to investigate the mediating effect of engagement and motivation on the relationship between instructional mode and skills development, grounded in the Self-Determination Theory and the Technology Acceptance Model. It is anticipated that the findings will demonstrate a statistically significant improvement in technical skills and learner engagement within the blended learning cohort compared to traditional face-to-face instruction. The study expects to uncover critical factors such as the role of online resources, practical session scheduling, and instructor support in mediating effective learning outcomes. The qualitative findings are projected to reveal positive student perceptions regarding flexibility, resource accessibility, and confidence in skill mastery, alongside challenges such as technological barriers and assessment authenticity. This research contributes to the body of knowledge by providing empirical evidence on the efficacy of blended learning approaches in vocational contexts, specifically within technical skills education. It advances understanding of the underlying mechanisms through which blended modes influence learning outcomes, informed by relevant theoretical frameworks. The findings will inform policymakers, educators, and curriculum designers regarding effective integration strategies, emphasizing the importance of technological infrastructure, pedagogical training, and student support services. The study concludes that when properly implemented, blended learning significantly enhances technical skill development and learner engagement, making it a viable supplement or alternative to traditional vocational training. Recommendations include adopting a hybrid instructional framework that balances online and hands-on activities, investing in digital infrastructure, and incorporating continuous formative assessments to foster skill mastery. Future research should explore longitudinal impacts, scalability across different technical disciplines, and the influence of emerging technologies such as augmented reality on vocational learning processes.