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

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 technologybased innovative methods.

Authors

Publication Details

Journal
International Journal of Academic Research in Progressive Education and Development
Published
2025-05-07
DOI
https://doi.org/10.6007/ijarped/v14-i2/25354
Primary Topic
Mobile Learning in Education
Type
article
Field-Weighted Citation Impact
0.00

Funders

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article

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

Noraini Said, Umi Zafirah Othman
International Journal of Academic Research in Progressive Education and Development
Mobile Learning in Education
article

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

Noraini Said, Umi Zafirah Othman
article en

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 technologybased innovative methods.

International Journal of Academic Research in Progressive Education and DevelopmentVol. 14(2)
Harvard University
Gender equality
Openalex Percentile: Top 87%
Mobile Learning in Education
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AI Meets Pedagogy: Designing an ADDIE-Framed Mobile Application for ESL Teacher Empowerment — Noraini Said, Umi Zafirah Othman · International Journal of Academic Research in Progressive Education and Development (2025) | TGRS Research Map | TGRS