an AI-Assisted Mobile Learning Application for Supporting EFL Writing in Distance Higher Education

Authors

  • Effendi M Department of English Education, Faculty of Teacher Training and Education, Open University
  • Muhammad Sabri Ahmad khairun university
  • Juhardi Department of Biology Education, Faculty of Teacher Training and Education, Open University
  • Ranak Lince Department of Mathematics Education, Faculty of Teacher Training and Education, Open University
  • Arifin Department of Indonesian Language Education, Faculty of Teacher Training and Education, Open University
  • Jamil Department of Social Studies Education, Faculty of Teacher Training and Education, Open University

DOI:

https://doi.org/10.31537/jeti.v9i1.3115

Keywords:

AI feedback , EFL writing, self-regulated learning, mobile learning, human-AI feedback

Abstract

Writing learning in distance higher education requires flexible access, structured practice, timely feedback, and continuous progress monitoring. This study aims to develop and functionally evaluate WriteCoach, an AI-assisted mobile application designed to support EFL writing learning for Universitas Terbuka students. The study employed a design and development research approach consisting of needs analysis, system design, prototype development, AI feedback integration, implementation, and functional testing. The application was developed using Flutter and Dart, with Supabase as the cloud backend and Gemini AI as the automated writing feedback service. WriteCoach provides role-based features for students, tutors, and administrators, including writing exercises, AI feedback on grammar, clarity, and structure, quizzes, tutor grading, question bank management, class management, progress tracking, and learning analytics. The results show that the prototype successfully implemented the main learning, assessment, and management modules. Black-box testing indicated that the core features operated according to the expected outputs. This study contributes a practical model for integrating AI feedback, tutor-mediated assessment, mobile access, and role-based learning management in one writing learning application. Future studies should examine usability, user perception, and the application’s effectiveness in improving students’ writing performance

 

 

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Published

2026-06-09

How to Cite

M, E., abhy, muhammad sabri ahmad, Juhardi, J., Lince , R., Arifin, A., & Jamil , J. (2026). an AI-Assisted Mobile Learning Application for Supporting EFL Writing in Distance Higher Education. Journal of Education Technology and Inovation, 9(1), 110–125. https://doi.org/10.31537/jeti.v9i1.3115

Issue

Vol. 9 No. 1 (2026): Journal of Education Technology and Inovation (June)

Section

Articles

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Copyright (c) 2026 muhammad sabri ahmad abhy

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