Design, Implementation, and Evaluation of a Digital Learning Platform for Technical Skills Acquisition

Thesis Abstract

The rapid advancement of digital technologies has transformed the landscape of technical education, necessitating innovative approaches to skills acquisition that address both accessibility and effectiveness. Despite the proliferation of digital learning resources, many technical institutions face challenges in implementing platforms that are tailored to the specific needs of learners, ensuring engagement, interactivity, and practical skill development. This study aims to design, implement, and evaluate a comprehensive digital learning platform to enhance technical skills acquisition among vocational and technical students. The primary objectives are to develop a user-centric platform grounded in constructivist and the cognitive apprenticeship theories, implement the platform in a selected technical college, and evaluate its effectiveness in improving learners’ skill mastery, motivation, and engagement. The research adopts a mixed-methods design, integrating both quantitative and qualitative approaches to provide a nuanced understanding of the platform’s impact. The target population comprises 250 technical students enrolled in practical courses and their instructors in a medium-sized technical college. A sample size of 150 students and 10 instructors was determined through stratified random sampling, ensuring representation across different technical disciplines and skill levels. Data collection instruments include a structured questionnaire measuring students’ motivation, engagement, and perceived competence; practical skill assessments aligned with course objectives; and semi-structured interview protocols for instructors and selected students. The validity and reliability of instruments were established through expert validation and a pilot study, with Cronbach’s alpha coefficients exceeding 0.80 for quantitative tools. Data analysis involves descriptive statistics to profile the sample, paired t-tests and ANCOVA to assess pre- and post-intervention differences in skill levels and motivation, and thematic analysis for qualitative data to explore participants’ perspectives. The platform’s developmental process employed user-centered design principles, iterative prototyping, and integration of multimedia resources, simulations, and interactive assessments. The evaluation anticipates significant improvements in learners’ practical skills, motivation, and engagement, with qualitative insights highlighting the platform’s usability and contextual relevance. Furthermore, regression analysis is expected to identify key factors influencing learning outcomes, supporting the development of tailored intervention strategies. This research contributes to knowledge by providing a validated framework for designing effective digital learning environments tailored specifically for technical skills development within vocational education contexts. It extends existing theoretical models by empirically demonstrating how constructivist and cognitive apprenticeship principles can enhance digital skill acquisition. The findings are expected to inform policymakers, educators, and developers on best practices for integrating digital platforms into technical curricula, emphasizing user engagement and contextual relevance for enhanced learning outcomes. The main conclusion emphasizes that a well-designed digital learning platform can significantly improve technical competencies, motivation, and learner engagement when grounded in evidence-based pedagogical theories. The study recommends scaling the platform across similar technical institutions, integrating continuous feedback mechanisms, and conducting longitudinal studies to assess long-term impacts on skills mastery and employability. Future research should explore adaptive learning technologies and gamification strategies to further optimize digital skills training in diverse technical contexts.