Mobile-assisted Language Learning for Elementary Students’ Self -directed Learning: An Implementation of You Smart Website Prototype

Abstract

 In the contemporary globalized era, English proficiency is a vital skill, yet elementary students often struggle with vocabulary acquisition and language anxiety due to conventional, teacher-centered methods. This study addresses these challenges by developing and implementing You Smart, a Mobile-assisted Language Learning (MALL) website prototype grounded in Deep Learning and Self-Directed Learning (SDL) theories. Using a Research and Development (R&D) approach following the ADDIE model, the study involved 30 elementary students in a three-week intervention. Data were collected through pre- and post-tests, the Self-Directed Learning Readiness Scale (SDLRS), and semi-structured interviews. Quantitative results revealed a significant increase in English mastery, with mean scores rising from 50.30 to 79.00 (p < 0.001), and a notable improvement in learner autonomy, with SDLRS scores increasing from 60.20 to 83.10. Qualitative thematic analysis indicated that the prototype’s Scenario Mapping and Self-Reflection features successfully reduced language anxiety and fostered intrinsic motivation. The study concludes that You Smart effectively bridges the gap between formal instruction and autonomous practice, providing a seamless learning ecology. These findings suggest that integrating MALL with SDL-oriented frameworks is essential for cultivating lifelong learning habits in young learners.

Keywords: MALL, Self-Directed Learning, Deep Learning, Elementary Education, You Smart, Prototype Development.