Speaker
Description
As Vietnam continues shifting toward communicative English use, developing students' oral fluency has become an important goal in EFL classrooms. However, many high school students still struggle to sustain spontaneous speech and often rely on memorized expressions during speaking activities. In this context, artificial intelligence-generated story prompts, situational cues, and lexical support delivered via ChatGPT may help reduce learners' cognitive burden and encourage more spontaneous interaction. Grounded in Task-Based Language Teaching and fluency-oriented speaking pedagogy, this action research study will investigate whether collaborative storytelling tasks supported by artificial intelligence-assisted tools can improve oral fluency among 45 Grade 11 students at a public upper secondary school in Bac Ninh. The study will last 11 weeks and consist of two action research cycles following the planning-acting-observing-reflecting framework. Students will participate in three timed pair storytelling sessions per week using generated story prompts, situational cues, plot twists, and lexical support to maintain interaction during time-constrained speaking tasks. Oral fluency will be evaluated through speech rate, pause length, and mean length of run. Data will be collected through pre- and post-speaking tests, classroom observations, teacher reflective journals, and student interviews. The expected outcomes include improvements in speech rate and mean length of run, together with a reduction in pause frequency during peer interaction. Interview data are also expected to reveal that artificial intelligence-assisted scaffolding helps students generate ideas more easily and maintain conversations more confidently. The study aims to offer a feasible approach for fostering more spontaneous oral interaction in Vietnamese EFL contexts.
Biography
Giap Thi Ngoc Yen is a public high school EFL teacher in Bac Ninh, Vietnam and a first-year MA student in Language Teaching Methodology at ULIS, VNU. During her MA studies, she has developed a strong foundation in research methodology and classroom-based inquiry in language education. Her academic interests include AI-assisted language learning, speaking fluency development, task-based language teaching, and classroom-based inquiry in EFL contexts. Her current research explores the use of AI-assisted collaborative storytelling tasks to support oral fluency development among Vietnamese upper secondary students. She examines how generative AI can facilitate spontaneous communication and create interactive and authentic opportunities for language use in secondary school EFL classrooms. Her interests also include communicative language teaching, learner-centered pedagogy, and technology-supported speaking instruction in Vietnamese public school settings. She is particularly interested in exploring practical, innovative, and pedagogically meaningful applications of emerging technologies to support more engaging and student-centered language learning experiences.
| Affiliate type | Vietnamese public school |
|---|