生成式人工智能促进大学生个性化英语口语学习的路径研究

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中图分类号：H319 文献标识码：A 文章编号：1000-0100（2026）01-0061-9

DOI 编码：10.16263/j. cnki.23-1071/h.2026.01.010

Exploring Pathways of University Students’Personalised English-Speaking Learning Using Generative AI

Zou Bin Wang Cheng-hao （Department of Applied Linguistics， Xi'an Jiaotong-Liverpool University，Suzhou 215Ooo，China）

The use of Generative Artificial Intelligence（GenAI）in foreign language speaking instruction hasatracted increasing scholarlyattention.DrawingontheIntegratedModelofTechnologyAceptance（IMTA），thisstudyinvestigatesChineseuniversitystudents'acceptanceofGenAIforpersonalisedEnglish-speakingpractice.Datawerecollctedfrom513questionnaireresponsesandsemi-structured interviews with15participants.The study examines therelationshipsamong perceived usefulness，perceivedeaseofuse，perceived enjoyment，and behavioural intention，andfurtherdelineates the behavioural pathwaysunderlying learners’adoptionof GenAIfororal Englishlearning.Thefindingsrevealthatperceivedenjoymentistheprimaryfactorshaping learers’ intention touseGenAI，with such enjoymentarising mainlyfromGenAIsmultimodal interactioncapabilities，tspotential to enhance speaking performance，andtheemotional support it provides.Although perceivedeaseof usedoes notdirectly predictbehaviouralintentio，itexertsanindirectfectbyimprovingperceivedusefulness，whichintuinflueneseaers' wilingnesstoadoptGenAI.Theseresultsofferpractical implicationsandtheoreticalinsightsfortheintegrationofGeAinto English-speaking instruction.

Key words：generative artificial intelligence；personalised English-speaking learning； IMTA；path analysis近年来，人工智能技术驱动的英语学习软件 和聊天机器人在英语口语教学和个性化学习领域

的应用日益广泛（葛楠郑春萍2025，潘鸣威邹申2025）。（剩余16016字）