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Showing 1 to 15 of 131 results Save | Export
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Thanh Huong Nguyen; Do Anh Tu Ha – Educational Process: International Journal, 2025
Background/purpose: The study addresses the lack of clear policies and ethical concerns surrounding AI use in Vietnamese universities, where debates continue over balancing AI's benefits with risks of academic misconduct. This study seeks to investigate determinants of students' use of AI-powered study tools, by applying the Theory of Planned…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Intention
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Yu-xi Wang; Li-ping Chen; Jia-yin Han – Education and Information Technologies, 2024
The study of students' willingness to use translation technology can motivate students to use the translation technology and improve their translation efficiency. This paper reports on a survey which collected 716 valid questionnaires from students in the Master-level Program in Translation and Interpreting. Structural equation modeling (SEM) was…
Descriptors: Student Attitudes, Graduate Students, Translation, Information Technology
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Chenxi Liu; Ana-Paula Correia; Young Min Kim – Educational Technology Research and Development, 2025
Mobile learning can positively impact learning in different aspects, but the retention rate of mobile learning applications could be better. Based on the Technology Acceptance Model and the updated DeLone and McLean Information System Success Model, this study develops a novel model to examine the determinants of learners' acceptance of mobile…
Descriptors: Telecommunications, Handheld Devices, Technology Uses in Education, Learning Activities
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Tony Robinson – Journal of Educational Technology, 2025
Generative artificial intelligence (AI) is increasingly transforming higher education by enhancing teaching methodologies, automating administrative tasks, and supporting research initiatives. Faculty adoption of generative AI is crucial for maximizing its potential benefits; however, its acceptance remains inconsistent due to factors such as…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Technology Integration
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Saeed Alzahrani; Anish Kumar Bhunia – Educational Process: International Journal, 2025
Background/purpose: The present study utilizes an integrated theoretical framework that integrates the Theory of Planned Behaviour, Technology Acceptance Model, and Value-Based Adoption Model to explore the effects of Digital Literacy (DL) on the behavioral intention of the Saudi Generation Z students toward adopting Fintech (FAI). It emphasizes…
Descriptors: Foreign Countries, Technology Integration, Educational Technology, Technological Literacy
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Yi Chen; Honghe Gao – SAGE Open, 2025
Against the backdrop of rapid advancements in information technology, Information and Communication Technology (ICT) has been widely applied in art education. Whether teachers accept and use these tools largely depends on their digital literacy. This study explores how teachers' digital literacy influences their ICT integration intention based on…
Descriptors: Technological Literacy, Technology Uses in Education, Art Education, Technology Integration
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Ben Siu; John White – British Educational Research Journal, 2025
This study employs the Technology Readiness and Acceptance Model to uncover the factors influencing university students' intentions to adopt generative artificial intelligence (AI) technologies in higher education. With the rapid integration of Generative AI into academic contexts, understanding what drives students' intention to use these tools…
Descriptors: Technology Uses in Education, Artificial Intelligence, College Students, Student Attitudes
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Caleb Or – International Journal of Technology in Education and Science, 2024
The Technology Acceptance Model (TAM), proposed by Fred Davis in 1986, is a foundational framework for understanding technology adoption, emphasizing Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) as key determinants of Intention to Use (ITU). While Attitude Toward Using (ATU) was initially central to TAM, it was later omitted in…
Descriptors: Attitudes, Technological Literacy, Usability, Value Judgment
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Pengfei Yang; Shaowen Qian – SAGE Open, 2025
E-learning has revolutionized the educational landscape, changing how knowledge is imparted to students and enhancing the learning process. Despite the growing popularity of e-learning worldwide, a lingering question remains regarding the behavioral intentions of Physical Education students toward its use. This study endeavors to address this…
Descriptors: Foreign Countries, Physical Education, Intention, Electronic Learning
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Pepen Permana; Irma Permatawati; Ending Khoerudin; Nur Muthmainah; Widia Oktapiani – Journal of Education and Learning (EduLearn), 2025
Motivated by the need to understand the role of digital tools such as Moodle in foreign language learning, this study explores the acceptance and use of Moodle by students in the German Language Education Study Program at Universitas Pendidikan Indonesia (UPI). Using a mixed-method approach, we examined students' acceptance of Virtuelles…
Descriptors: Foreign Countries, Learning Management Systems, Technology Uses in Education, Second Language Instruction
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Ayesha C. Penuela; Maylin P. Habaña; Ryan Michael F. Oducado; John Erwin P. Pedroso; Ernie A. Bonzo; Khen A. Tamdang – Journal of Education and Learning (EduLearn), 2025
The proliferation of ChatGPT in educational contexts and incorporating such technology into students' academic lives raise intriguing questions. Understanding the factors influencing the intention to adopt this novel technology is necessary for better integration and utilization. This study determined the correlates of intention to use ChatGPT…
Descriptors: Technology Uses in Education, Artificial Intelligence, Intention, College Freshmen
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Anshita Chelawat; Richal Tuscano; Roshani Prasad; Seema Sant – International Journal of Learning Technology, 2025
This study aims to explore factors predicting the use of e-learning as a sustainable solution in Indian higher education institutions by employing a modified version of the technology acceptance model (TAM). An online questionnaire (n = 200), capturing post-graduate management students from the Mumbai Metropolitan Region, was analysed using…
Descriptors: Educational Technology, Electronic Learning, Graduate Students, Value Judgment
Amanda Brady – ProQuest LLC, 2024
COVID-19 caused a worldwide education crisis. Schools were forced to close, teachers and parents had little time to prepare, and students were required to learn from home. The purpose of this study was to explore teachers' perceptions of usefulness and ease of use in adopting technology in response to the COVID-19 pandemic and what support or…
Descriptors: COVID-19, Pandemics, Educational Technology, Technology Uses in Education
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Brian Shambare; Thuthukile Jita – International Journal of Virtual and Personal Learning Environments, 2025
In many Global South countries, including South Africa, the adoption of Virtual Lab (VL) remains largely conceptual. This paper emphasizes the necessity of understanding teachers' perceptions of VL before implementation to mitigate risks of abandonment or underutilization post deployment. Guided by the Technology Acceptance Model (Davis, 1989),…
Descriptors: Foreign Countries, Science Education, Educational Technology, Computer Simulation
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Shuaiyao Ma; Lei Lei – Asia Pacific Journal of Education, 2024
This study, rooted in the Technology Acceptance Model (TAM), investigates the multifaceted factors that influence teacher education students in Information-Based Teaching to embrace artificial intelligence technologies. To enrich the TAM framework, we have incorporated elements such as Artificial Intelligence Literacy (AIL), Subjective Norms (SN),…
Descriptors: Preservice Teachers, Artificial Intelligence, Technology Uses in Education, Educational Technology
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