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Showing 1 to 15 of 35 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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Sultan Hammad Alshammari; Saleh Alkhabra – International Journal of Technology in Education, 2025
The widespread use of e-learning systems in higher education highlights the necessity to understand the determinants of students' intention to utilize e-learning systems. This study builds upon the Expectation--Confirmation Model (ECM) by incorporating self-regulated learning (SRL) as a pivotal construct to underpin students' intention to utilize…
Descriptors: Self Management, Intention, Electronic Learning, Educational 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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K. Kavitha; V. P. Joshith – Journal of Educational Technology Systems, 2025
ChatGPT, an advanced generative AI language model, has rapidly emerged as a transformative tool in education. This study explores the key determinants influencing the continuance intention of digitally native Gen Z students in higher education to engage with ChatGPT 4o. Employing the Expectation-Confirmation Model (ECM), the study examines the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Student Attitudes
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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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Xieling Chen; Di Zou; Gary Cheng; Haoran Xie – Knowledge Management & E-Learning, 2025
Drawing on the technology acceptance model (TAM), self-determination theory (SDT), expectation-confirmation model (ECM), and massive open online courses (MOOCs) design effects, the present work introduced a conceptual model for understanding the fine-grained mechanism underlying learner satisfaction and continuance intention. A structural equation…
Descriptors: Foreign Countries, Technology Uses in Education, Self Determination, Expectation
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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
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Ruijuan Li; Yuanchun Zhou; Hua Wang; Qi Wang – International Journal of Sustainability in Higher Education, 2025
Purpose: Reusable takeaway food containers (RTFCs) are a newly emerging green packaging choice for the takeaway industry that can effectively reduce campus solid waste but are not yet well accepted. Therefore, this study aims to identify the key factors influencing university students' intention to choose RTFCs, seeking to enhance RTFC project…
Descriptors: College Students, Intention, Decision Making, Recycling
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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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Xiao Xu – Discover Education, 2025
A crucial need for a comprehensive understanding and assessment of mobile learning readiness exists in light of most adult learners' lack of preparedness for mobile learning. This study developed a seven-factor mobile learning readiness construct and crafted a 26-item scale integrating the Technology Acceptance Model, Unified Theory of Acceptance…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Technology Uses in Education
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