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Hongfeng Zhang; Fanbo Li; Xiaolong Chen – Journal of Educational Computing Research, 2025
This study addresses the gap in understanding graduate students' sustained engagement behavior (SEB) with generative artificial intelligence (GAI) by integrating the Technology Acceptance Model (TAM), Expectation Confirmation Theory (ECT), and Theory of Reasoned Action (TRA) into a comprehensive embedding model. It introduces the Technology…
Descriptors: Graduate Students, Artificial Intelligence, Learner Engagement, Foreign Countries
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Sourabh Balgi; Adel Daoud; Jose M. Peña; Geoffrey T. Wodtke; Jesse Zhou – Sociological Methods & Research, 2025
Social science theories often postulate systems of causal relationships among variables, which are commonly represented using directed acyclic graphs (DAGs). As non-parametric causal models, DAGs require no assumptions about the functional form of the hypothesized relationships. Nevertheless, to simplify empirical evaluation, researchers typically…
Descriptors: Graphs, Causal Models, Statistical Inference, Artificial Intelligence
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Afef Saihi; Mohamed Ben-Daya; Moncer Hariga – Education and Information Technologies, 2025
The integration of AI-chatbots into higher education offers the potential to enhance learning practices. This research aims to explore the factors influencing AI-chatbots adoption within higher education, with a focus on the moderating roles of technological proficiency and academic discipline. Utilizing a survey-based approach and advanced…
Descriptors: Technology Uses in Education, Artificial Intelligence, Higher Education, Technology Integration
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Muhammad Farrukh Shahzad; Shuo Xu; Xin An; Muhammad Asif; Iqra Javed – Education and Information Technologies, 2025
Based on the self-determination theory (SDT), this evaluates the effects of generative artificial intelligence (Gen-AI) on learning performance within China's education sector, emphasizing the roles of social interaction, utilitarian benefit, knowledge acquisition, and epistemic curiosity. The study employs a dual method, using PLS-SEM and fsQCA…
Descriptors: Artificial Intelligence, Educational Benefits, Barriers, Learning Processes
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Xintong Zhang; Jiangwei Hu; Yunqian Zhou – Education and Information Technologies, 2025
This study explores the role of perceived utility, social influence, and ethical concerns in the adoption of AI-based data analysis tools among academic researchers in China, focusing on differences between public and private universities. The research aims to identify key drivers and barriers influencing the integration of AI technology in…
Descriptors: Usability, Ethics, Artificial Intelligence, Technology Uses in Education
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Adeneye Olarewaju A. Awofala; Mike Boni Bazza; Omolabake T. Ojo; Adenike J. Oladipo; Oladiran S. Olabiyi; Abayomi A. Arigbabu – Digital Education Review, 2025
Recent progress in artificial intelligence (AI) has aroused interest in the growth and development of educational AI tools (EAITs). Teachers' adoption of EAITs in classrooms has helped in shaping instructional decisions taken by them in an attempt to promote intelligently and actively students' meaningful learning of contents areas. Nevertheless,…
Descriptors: Foreign Countries, Science Teachers, Technology Education, Mathematics Teachers
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Kang Wang; Yu-Yuan Qu; Siew-Ping Wong – Education and Information Technologies, 2025
This research delves into the factors that shape Chinese college students' engagement with Generative AI (GenAI) for career exploration purposes, employing the lenses of the Comprehensive Model of Information Seeking (CMIS) and the Technology Acceptance Model (TAM). Utilizing a mixed-methods design, which integrates partial least squares…
Descriptors: College Students, Artificial Intelligence, Technology Uses in Education, Career Development
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Oluwanife Segun Falebita; Petrus Jacobus Kok – Journal for STEM Education Research, 2025
This study investigates the relationship between undergraduates' technological readiness, self-efficacy, attitude, and usage of artificial intelligence (AI) tools. The study leverages the technology acceptance model (TAM) to explore the relationships among the study's variables. The study's participants are 176 undergraduate students from a public…
Descriptors: Artificial Intelligence, Technology Uses in Education, Structural Equation Models, Undergraduate Students
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Muaadh Mukred; Umi Asma' Mokhtar; Burkan Hawash; Hussain AlSalman; Muhammad Zohaib; Yousef Ibrahim Abuzawayda – SAGE Open, 2025
In the virtual realm, also referred to as the metaverse, users generally communicate using avatars. This metaverse is viewed as a prospective tool in different industry types, and in this regard, researchers have examined its significance in education owing to its increasing reach. In fact, it has been widely accepted that Information System (IS)…
Descriptors: Foreign Countries, Higher Education, College Students, Student Attitudes