Speaker
Description
The advent of AI tools has transformed language learning and teaching in diverse perspectives. In the context of English for Academic Purposes (EAP), the material development has become more convenient for teachers with the assistance of AI-driven application, reducing the burden of traditional material preparation. This study aims to investigate how AI-generated materials foster reading skills for EAP learners adopting quantitative method. A total of 108 undergraduate students participated in this quantitative study in which they were assigned into control group and experimental group. They completed reading comprehension tasks based on both human-written and AI-generated reading materials. Their scores were then compared using paired samples t-tests to evaluate their reading performance across both text types. The preliminary findings suggest that AI-generated texts can provide comparable support to human-written texts and the complexity of lexical resources and of AI-generated texts surpasses that of human-written ones. The study indicates the potential use of AI tools as a supplementary resource in EAP reading instruction and pedagogical implications for language educators.
Biography
Tâm Nguyễn is currently working as a full-time lecturer at Faculty of Foreign Language and Technical Education, Nong Lam University, Ho Chi Minh City. She is also working as a visiting lecturer at International University, Vietnam National University of Ho Chi Minh City and a part-time teacher at ILA Vietnam. She holds a Master’s Degree in TESOL from Victoria University of Wellington, New Zealand. Her teaching experience ranges from young learners to adult learners. She is eager to create a dynamic learning environment for learners and develop learning materials for a variety of learners. She is keen on pursuing lifelong learning with open-mindedness, adaptability and flexibility. She aspires to conduct research for further development in Applied Linguistics and collaborate with scholars in this field. Her research interest includes second language acquisition, vocabulary learning, corpus linguistics, formulaic languages, English for Academic Purposes (EAP), English as a Medium Instruction (EMI), computer-assisted language learning.
