Abbuhl, RebekhaAlwadaeen, Norah Bakheet2026-02-252026Alwadaeen, N. B. (2026). The influence of artificial intelligence on EAP learners’ oral fluency (Order No. 32403502). Available from Dissertations & Theses @ California State University, Long Beach; ProQuest Dissertations & Theses Global: The Humanities and Social Sciences Collection; Publicly Available Content Database. (3304054584). Retrieved from http://csulb.idm.oclc.org/login?url=https://www.proquest.com/dissertations-theses/influence-artificial-intelligence-on-eap-learners/docview/3304054584/se-29798276041612https://hdl.handle.net/20.500.14154/78297There is ongoing debate on how AI speaking tools can support the development of oral fluency in second language (L2) instruction. Despite the widespread usage of these tools, such as AI chatbots and Automated Speech Recognition (ASR), questions persist about how well they will work to improve oral fluency, reduce speaking anxiety, and foster learner autonomy. This study investigates how an AI-mediated speaking partner influences English for Academic Purposes (EAP) learners’ oral fluency, speaking anxiety, and autonomy over a short, intensive practice cycle. Five upper-intermediate ESL students at a California community college completed nine EAP Talk chatbot sessions across 3 weeks, framed by pre- and post-intervention IELTS-style monologic speaking tasks. Acoustic analyses of the pre/post tasks in PRAAT targeted three utterance-fluency indices (speaking ratio, repair phenomena, and pause placement). Session-by-session Likert questionnaires captured perceived fluency gains, anxiety, and autonomy, and post-intervention semi-structured interviews explored learners’ experiences with the AI-mediated practice. Oral fluency findings indicated that the speaking ratio increased, whereas pause and repair indices generally shifted in favorable directions. Anxiety, which was scaled so higher scores indicated less anxiety, exhibited clear gains. Autonomy trajectories were positive at the group level. Furthermore, the study highlights both the promise and limitations of AI chatbots for EAP speaking. It emphasizes the value of multi-indicator fluency assessment, explicit autonomy supports, and longer comparative designs in future work.81en-USArtificial intelligenceEnglish for Academic PurposesEFL learnersLanguage learningOral fluencyTeaching English to Speakers of Other LanguagesTESOLThesis