Speakers
Description
In Vietnamese upper-secondary English classrooms, speaking practice is often constrained by large classes, limited lesson time, and learners’ fear of public error. This study examines a structured generative artificial intelligence (GenAI) feedback model designed to support Grade 10 students’ monologic English speaking. The model was organized around three connected phases: preparation, guided practice, and reflection for self-regulation. It was grounded in communicative competence, self-regulated learning, mastery learning, foreign language anxiety, and technology integration in language education. A quasi-experimental pretest-posttest control-group design was adopted within a mixed-methods explanatory framework. Sixty-four students participated, with 33 students in the experimental group practicing speaking through a GenAI platform for six weeks, while 31 students in the control group completed conventional speaking activities. Data were collected through speaking tests, questionnaires, and semi-structured interviews. The results showed that the experimental group made stronger progress than the control group in fluency, vocabulary, grammar, and pronunciation. Students also reported greater confidence, lower anxiety, and clearer awareness of how to set goals, monitor progress, and revise their speaking after feedback. The findings suggest that GenAI feedback can work as a practical extension of classroom instruction, supporting EFL speaking performance and learner autonomy without replacing the teacher’s pedagogical role.
Biography
Anh Nguyen Nhu Le is a faculty member at Ho Chi Minh City University of Education, specializing in Linguistics, English Language Skills, and Computer-Assisted Language Learning. A dedicated researcher and advocate for technology-enhanced instruction, he has authored several English textbooks for Vietnamese students, most notably the Explore English series. Furthermore, he is the founder of EdTechCorner, an educational technology initiative designed to optimize language teaching and learning through digital innovation.
To Dan Binh Minh is an undergraduate student majoring in English Language at Ho Chi Minh City University of Education. Her research interests center on English language teaching, generative AI in education, and technology-integrated language pedagogy. She is particularly dedicated to exploring how digital tools can facilitate personalized learning and enhance learners’ intercultural communicative competence.
Tien Gia tin is a Teaching English as a Foreign Language undergraduate student at Ho Chi Minh City University of Education. His research focuses on second language acquisition, generative AI in education, and the application of digital tools in language classrooms. He holds a special interest in designing engaging learning environments, improving communicative competence, and helping pre-service teachers develop practical bilingual instructional strategies.
Nguyen Ngoc Minh Thu is pursuing her undergraduate degree in Teaching English as a Foreign Language at Ho Chi Minh City University of Education. Her academic interests encompass language acquisition, technological integration, and the use of generative AI in education. She focuses primarily on how modern technology shapes the experiences of both teachers and students, and how it can be leveraged to boost practical, real-world language skills.
Quach Thien Ngoc is an undergraduate student majoring in Teaching English as a Foreign Language at Ho Chi Minh City University of Education. Her research interests range from language acquisition, technological integration in teaching and learning, as well as generative AI in education. She is especially interested in how technology affects both teachers and students in the modern age of language teaching and how it can be used to enhance students’ language competency in real life.
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