Analysis of the Impact of Personalized Learning Paths in Mobile Learning Platforms on the Development of Self-Directed Learning Strategies Among Brazilian College Students
Keywords:
personalized learning, mobile learning (m-learning), Self-Directed Learning (SDL), learner autonomyAbstract
This paper investigates the impact of personalized mobile learning (m-learning) platforms on the development of self-directed learning (SDL) strategies among Brazilian college students. Employing a mixed-methods research design, the study combines quantitative surveys with qualitative interviews to explore how personalized learning paths influence SDL skills such as goal-setting, time management, and reflective practice. The quantitative analysis reveals a significant positive correlation between the degree of personalization in m-learning experiences and enhancements in SDL competencies. Qualitative insights further elucidate students’ perceptions of personalized m-learning, highlighting increased motivation, engagement, and a sense of ownership over their learning processes. The research also delves into the challenges and opportunities presented by the Brazilian educational context, including infrastructural limitations and the digital divide. The findings underscore the potential of personalized m-learning platforms to foster learner autonomy and suggest implications for educators, policymakers, and educational technology developers. The study calls for further research on the longitudinal effects of personalized learning and the socio-economic factors affecting m-learning adoption and effectiveness.