Assessing the Impact of Mobile Learning Applications on Adult Educational Attainment

Thesis Abstract

The rapid proliferation of mobile technology and its integration into educational contexts has garnered significant interest, particularly concerning its potential to enhance adult learning outcomes. Despite widespread adoption of mobile learning applications (m-learning apps), there remains limited empirical evidence delineating their actual impact on adult educational attainment, especially within diverse socio-economic and demographic groups. This study aims to assess the influence of mobile learning applications on the educational progress of adults engaged in continuing education programs, with specific objectives of evaluating learners' engagement levels, academic performance, and self-directed learning skills facilitated through m-learning platforms. Utilizing a mixed-methods research design, the quantitative component adopts a quasi-experimental pretest-posttest control group approach to compare adult learners exposed to mobile learning interventions with those engaged in traditional face-to-face learning. The qualitative component involves semi-structured interviews to explore learners’ perceptions and experiences with mobile learning applications. The target population comprises adult learners enrolled in continuing education centers within a metropolitan city, totaling approximately 400 individuals. A stratified sampling method ensures representation across age, gender, educational background, and socio-economic status, resulting in a sample of 200 participants for the quantitative analysis, with 50 participants purposively selected for in-depth interviews. Data collection instrumentalities include standardized achievement tests, engagement questionnaires adapted from the Motivated Strategies for Learning Questionnaire (MSLQ), and a custom-designed mobile learning usability survey. To ensure validity and reliability, the measurement instruments undergo pilot testing with Cronbach’s alpha coefficients exceeding 0.80 and content validity verified through expert review. Quantitative data will be analyzed using descriptive statistics, paired t-tests to assess pre- and post-intervention changes, and multiple regression analysis to identify predictors of educational attainment. The qualitative data will be subjected to thematic analysis, following Braun and Clarke’s procedures, to extract salient themes regarding learner perceptions and contextual factors influencing m-learning effectiveness. Expected findings suggest that adults utilizing mobile learning applications will demonstrate statistically significant improvements in academic achievement, higher engagement levels, and enhanced self-directed learning skills compared to their counterparts in traditional learning settings. Furthermore, the study anticipates identifying specific facilitators and barriers related to the adoption of mobile learning among adult learners, moderated by technological literacy and socio-economic variables. It is hypothesized that theoretical frameworks such as the Self-Directed Learning theory and the Technology Acceptance Model (TAM) will underpin the analysis, providing insight into the cognitive and attitudinal factors influencing learning outcomes. This research contributes to existing literature by providing empirical evidence on the efficacy of mobile learning applications for adult education, addressing a notable gap concerning contextual and learner-specific factors affecting outcomes. The study advances understanding of the strategic integration of m-learning tools in adult education settings, emphasizing personalized, accessible, and flexible learning pathways. The main conclusion posits that mobile learning applications significantly enhance adult educational attainment when appropriately designed and implemented, especially when supporting self-motivation and technological competency. Based on the findings, the study recommends policies encouraging the integration of mobile learning platforms within adult education curricula, with emphasis on user-friendly interfaces and capacity-building initiatives for digital literacy. To further advance this line of inquiry, future research should explore longitudinal impacts, scalability, and the role of social learning components within mobile learning ecosystems. Overall, this investigation provides practical and theoretical insights to inform policymakers, educators, and developers committed to leveraging mobile technology for inclusive adult lifelong learning.