Evaluating the Effectiveness of Mobile Learning Platforms in Adult Vocational Education

Thesis Abstract

The rapid proliferation of mobile devices and internet connectivity has transformed adult vocational education by providing innovative platforms for distance learning and skills development. Despite widespread adoption of mobile learning (m-learning) applications, there remains limited empirical evidence regarding their actual effectiveness in improving adult learners' skills, engagement, and knowledge retention within vocational contexts. This study aims to evaluate the effectiveness of mobile learning platforms in adult vocational education by examining their impact on learners’ academic performance, motivation, and skills acquisition. The specific objectives include assessing learners’ engagement levels, determining the relationship between mobile learning and vocational competence, and identifying the factors influencing platform usability and effectiveness. Employing a mixed-methods research design, the study integrates quantitative and qualitative approaches to provide a comprehensive analysis. The population comprises adult learners enrolled in vocational training centers across metropolitan regions, with a target sample size of 300 participants selected through stratified random sampling to ensure representation across age, gender, and skill levels. Quantitative data are collected via structured questionnaires measuring variables such as learner engagement, satisfaction, and perceived skill improvement, while qualitative data are gathered through semi-structured interviews with trainers and focus group discussions involving learners to explore contextual factors affecting platform use. Data analysis involves multiple statistical techniques including descriptive statistics to summarize demographic variables, regression analysis to examine the relationship between mobile platform usage and learning outcomes, and ANOVA tests to compare differences across demographic groups. Thematic analysis is employed for qualitative data to identify recurrent patterns related to usability, motivation, and perceived barriers. The study also applies the Technology Acceptance Model (TAM) and Cognitive Load Theory as foundational theoretical frameworks to interpret findings related to user acceptance and cognitive demands associated with mobile learning. It is anticipated that the study will reveal that mobile learning platforms significantly enhance vocational skills, engagement, and motivation among adult learners, although they are moderated by factors such as platform usability, digital literacy, and contextual support. Potential barriers such as technological challenges and lack of trainer training are expected to influence the effectiveness of mobile learning interventions. The research expects to demonstrate that learners with higher digital literacy levels and greater motivation benefit most from mobile platforms, leading to improved skills assessment scores and increased training satisfaction. This research makes a substantial contribution to existing knowledge by providing empirical evidence on the effectiveness of mobile learning in adult vocational settings, addressing a critical gap in the literature. It advances theoretical understanding by empirically testing the applicability of TAM and Cognitive Load Theory in this context and highlights practical implications for policymakers, educators, and platform developers seeking to optimize mobile learning strategies. Additionally, the findings offer actionable recommendations for enhancing platform design, instructional support, and digital literacy initiatives to maximize learning outcomes. The main conclusion underscores the potential of mobile learning platforms to transform adult vocational education through enhanced accessibility, interactivity, and learner-centered approaches, provided that challenges related to usability and digital competence are addressed. The study recommends ongoing training for trainers, continuous platform evaluation, and targeted digital literacy programs to improve engagement and learning outcomes. Future research should explore longitudinal effects of mobile learning adoption and investigate scalable models for diverse vocational sectors. Overall, this study affirms that well-designed mobile learning interventions constitute a vital component of modern adult vocational education, capable of fostering competencies aligned with evolving labor market demands.