Speaker
Description
Despite the profound impacts of Artificial Intelligence (AI) on English language education, empirical research on AI-integrated language learning platforms remains limited. This case study investigates first-year EFL student perspectives on the perceived usefulness, ease of use, and vocabulary-expanding impact of an AI-assisted reading platform – Readovation. Utilizing an Explanatory sequential mixed-methods design, the study tracked 72 EFL students in a university in Vietnam, from two different class sections over a four-week period of experiencing the platform. Data were collected through pre- and post-experience questionnaires, combined with semi-structured interviews involving 21 participants, focusing on three core principles of the Technology Acceptance Model (TAM) and the Three-phase Reading Comprehension Model (TRCM). The findings indicate that learners held highly positive attitudes toward the usability of Readovation, specifically praising its user-friendly interface and practical AI-integrated features. Notably, participants reported significant vocabulary growth. Regarding usage frequency across different reading stages, the post-reading phase was utilized the most due to its high convenience and effectiveness in addressing vocabulary learning needs. These results offer valuable insights for instructors aiming to integrate AI tools into formal curriculum design, while suggesting new directions for educational technology developers to enhance future AI-driven language applications.
Biography
Minh Tu Nguyen is a pre-service teacher teacher pursuing a degree in English Pedagogy in Hue University of Foreign Languages and International Studies (HUFLIS), Vietnam. Driven by a profound passion for both pedagogy and modern technology, she actively explores innovative ways to enhance English language teaching and learning experiences. Notably, she has developed Readovation.com, an AI-assisted website dedicated to supporting reading practices. Minh Tu’s current academic interests lie at language education and digital tools, with a focus on creating engaging, student-centered, AI-assisted classrooms. Looking ahead, she aspires to pursue a Master’s degree in Educational Technology (EdTech) to further research and implement cutting-edge digital solutions in EFL contexts. Through participating in the VietTESOL conference, Minh Tu hopes to connect with fellow educators, share insights, and contribute to the growing community of tech-integrated language teaching in Vietnam.
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