AI Meets Pedagogy: Designing an ADDIE-Framed Mobile Application for ESL Teacher Empowerment

Abstract

The research investigates the creation of a mobile learning system enhanced with AI to improve ESL reading comprehension instruction for upper-primary Malaysian teachers. The researchers designed a mobile app based on ADDIE (Analysis, Design, Development, Implementation, Evaluation) instructional design using the FlutterFlow low-code platform. Through its mobile-based structure, the developed application delivers teachers extensive tools to deliver differentiated reading comprehension teaching utilising flashcards, lesson plans and reading texts customised to match various CEFR proficiency levels, together with teaching instructions and videos and worksheets. Twelve upper-primary ESL teachers in Malaysia used open-ended feedback to enable various AI platforms to generate media content for the mobile app. The assessment of teaching staff exposed their struggles with delivering active and adjustable reading comprehension lessons while showing interest in mobile-based learning materials that are accessible to teachers. The pedagogical along functional quality of the mobile app was ensured through a two-step evaluation process. ESL professionals reviewed the educational content to verify correct implementation of the Common European Framework of Reference (CEFR), cultural sensitivities and instruction logical sequence. The usability testing involved three potential users who examined how intuitive the design was while they checked the practicality and flexibility of the available resources. The mobile application works to solve these challenges through artificial intelligence functions, which enable custom learning materials and content automation and lesson schedule optimisation. This research inquiry adds to existing academic knowledge about combining AI technologies into present-day language learning education systems. The research presents applicable recommendations for teachers and instructional designers, and policymakers who want to advance ESL instruction quality and access by using technology-based innovative methods.