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However, few studies examine the factors influencing its adoption in higher education, particularly among Mathematics student teachers. This study investigates determinants of behavioural intentions to use ChatGPT, guided by the UTAUT model. Data were collected via a 24-item questionnaire across six factors on a 5-point Likert scale and analyzed using multiple linear regression in RStudio. Intrinsic Motivation, Performance Expectancy, Social Influence, and Perceived Trust positively predict adoption intentions, supporting stronger AI integration.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/mathematics-student-teachers-behavioural-intention-using-chatgpt/598474/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/mathematics-student-teachers-behavioural-intention-using-chatgpt/598474.png","ImageObject",300,407,{"name":92,"@type":93},"A glass of water","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-27","2026-10-15",true,{"@type":102,"interactionType":103,"userInteractionCount":29},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Which model guides the study on Mathematics student teachers’ intention to use ChatGPT?","Question",{"text":112,"@type":113},"The study is guided by the Unified Theory of Acceptance and Use of Technology (UTAUT) model.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What data and analysis methods does the study use?",{"text":117,"@type":113},"Data are collected using a 24-item questionnaire across six factors on a 5-point Likert scale. 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However, few studies have examined the factors influencing its adoption in higher education, especially among Mathematics student teachers. This study investigates factors that influence the behavioural intentions of Mathematics student teachers regarding using ChatGPT. Guided by the Unified Theory of Acceptance and Use of Technology (UTAUT) model, data were collected through a questionnaire of 24 items across six factors on a 5-point Likert scale. Using multiple linear regression analysis with RStudio, the findings reveal that Intrinsic Motivation, Performance Expectancy, Social Influence, and Perceived Trust positively affect behavioural intentions to adopt ChatGPT. The study emphasizes implications for developers and educators to enhance AI integration in education, thereby supporting personalized and engaging learning experiences.  \nKeywords: artificial intelligence, behavioural intention, ChatGPT, Mathematics student teacher  \nRésumé  \nL’essor rapide de l’intelligence artificielle (IA), illustré par ChatGPT, a transformé l’éducation. Cependant, peu d’études ont examiné les facteurs influençant son adoption dans l’enseignementsupérieur, en particulier parmi les stagiaires en mathématiques. Cette étude examine les facteurs qui influencent les intentions comportementales des stagiaires en mathématiques concernant l’utilisation de ChatGPT. Guidés par le modèle de la théorie unifiée de l’acceptation et de l’utilisation des technologies (UTAUT), les données ont été collectées au moyen d’un questionnaire de 24 éléments portant sur six  \nCJLT/RCAT Vol. 50 (3)  \nfacteurs sur une échelle de Likert à 5 points. À l’aide d’une analyse de régression linéaire multiple avec RStudio, les résultats révèlent que la motivation intrinsèque, les attentes en matière de performance, l’influence sociale et la confiance perçue affectent positivement les intentions comportementales d’adopter ChatGPT. L’étude met l’accent sur les implications pour les personnes développeuses etenseignantes d’améliorer l’intégration de l’IA dans l’éducation, soutenant ainsi des expériencesd’apprentissage personnalisées et engageantes.  \nMot-clés: ChatGPT, intelligence artificielle, intentions comportementales, stagiaires en mathématiques  \nIntroduction  \nArtificial intelligence (AI) has emerged as a social phenomenon appearing in many fields. One prominent AI tool today is ChatGPT, developed by OpenAI. With the release of version 4.0, which is more complete compared to previous versions, and equipped with a vast source of information and data from the Internet, along with the ability to learn and converse in a way that mimics human interaction, ChatGPT has garnered significant attention for its advanced features, pushing the boundaries of what chatbots can achieve (Jo, 2023) . Additionally, its accessibility from any device and OpenAI’s free use policy via personal email registration have enhanced its popularity.  \nRegardless of accuracy and source information, ChatGPT is a versatile tool for students’educational purposes. It provides text replies, offers translations, and helps with writing tasks. It also facilitates calculations, assists in solving mathematical problems, and supports understanding of complex mathematical concepts for those studying Mathematics.  \nSince its public release in 2022, ChatGPT has generated","cbCaioxjDauh7Uie","https://ap.wps.com/l/cbCaioxjDauh7Uie","pdf",709537,29,"English","# Abstract\n## Introduction\n## Research background and rationale\n# Theoretical framework (UTAUT)\n## Factors examined and measurement\n## Data collection and analysis approach","[{\"question\":\"Which model guides the study on Mathematics student teachers’ intention to use ChatGPT?\",\"answer\":\"The study is guided by the Unified Theory of Acceptance and Use of Technology (UTAUT) model.\"},{\"question\":\"What data and analysis methods does the study use?\",\"answer\":\"Data are collected using a 24-item questionnaire across six factors on a 5-point Likert scale. Findings are analyzed using multiple linear regression in RStudio.\"},{\"question\":\"What factors positively affect behavioural intentions to adopt ChatGPT?\",\"answer\":\"Intrinsic Motivation, Performance Expectancy, Social Influence, and Perceived Trust positively affect behavioural intentions to adopt ChatGPT.\"}]","Mathematics Student Teachers’ Behavioural Intention Using ChatGPT | PDF",1792086999,73]