Developing an AI-enhanced Video Drama-Making Learning System to Support EFL Learners in Authentic Contexts

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Yi-Fan Liu, Muhammad Irfan Luthfi, Wu-Yuin Hwang

2024 Global Chinese Conference on Computers in Education Main Conference Proceedings (English Paper) Vol. 2024 Article Cited by 0 Quartile

Abstract

This study presents an AI-enhanced Video Drama-Making Learning System designed to improve English as a Foreign Language (EFL) learning. Leveraging advanced Artificial Intelligence (AI) technologies such as video-to-text recognition, GPT-generated sentences, grammar checking, and Text-to-Speech (TTS), the system offers an engaging and comprehensive approach to language learning. Implemented on the Android platform, it allows students to create video dramas in authentic contexts, enhancing their speaking and writing skills. An evaluation involving sixty-three university students revealed the system’s effectiveness, as assessed by the Technology Acceptance Model (TAM). The findings demonstrate the system's usability, usefulness, and positive influence on learners' attitudes towards technology, highlighting its potential as a valuable tool in EFL education. Despite its overall success, some technical issues indicate a need for further refinement, especially in user interface and system compatibility across different Android versions. This study contributes to technology-enhanced language learning, underscoring the importance of integrating AI in educational contexts. © 2024, Global Chinese Society for Computers in Education. All rights reserved.

Affiliations

National Academy for Educational Research, New Taipei, Taiwan; Graduate Institute of Network Learning Technology, National Central University, Taiwan; Department of Computer Science and Information Engineering, National Dong Hwa University, Taiwan; Department of Electronics and Informatics Engineering Education, Universitas Negeri Yogyakarta, Indonesia