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Showing 1 to 15 of 76 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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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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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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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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Liu, Shuiyin; Huang, Fang – Journal of Pedagogical Research, 2023
Although Massive Open Online Courses (MOOCs) have attracted extensive attention among educational stakeholders, the issue of the high dropout rate has yet to be solved. The current study aimed to unpack teacher influence on MOOCs learners' continuance learning intention, and to examine the mediating roles of students' perceived usefulness and…
Descriptors: MOOCs, Intention, Student Attitudes, Value Judgment
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Chan, Cecilia Ka Yuk; Zhou, Wenxin – Smart Learning Environments, 2023
This study examines the relationship between student perceptions and their intention to use generative artificial intelligence (GenAI) in higher education. With a sample of 405 students participating in the study, their knowledge, perceived value, and perceived cost of using the technology were measured by an Expectancy-Value Theory (EVT)…
Descriptors: Student Attitudes, College Students, Artificial Intelligence, Technology Uses in Education
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Wang, Yu-Min; Wang, Yi-Shun; Wang, Yu-Yin – Interactive Learning Environments, 2023
Crowdsourcing is an emerging web-enabled method to gain external expertise and ideas on tasks or projects. Mass contributions from the crowd are the key to the success and effectiveness of crowdsourcing. University students are important potential users and promising sources of contributions in the crowdsourcing context. However, little is known…
Descriptors: College Students, Intention, Electronic Publishing, Collaborative Writing
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Laila Ayaichi; Aziz Amaaz; Abderrahman Mouradi – Journal of Baltic Science Education, 2025
Augmented Reality (AR) is an emerging technology with strong potential to enhance the educational value of physics lab work. However, its integration in higher education remains inconsistent, often hindered by students' limited prior experience and varying levels of acceptance. This study investigates the factors influencing students' intention to…
Descriptors: Computer Simulation, Telecommunications, Handheld Devices, Physics
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Feng Zhang; Gege Li; Heng Luo – Educational Technology & Society, 2025
With the development of virtual reality technology, 3D multi-user virtual environments (MUVEs) have attracted increasing research attention and are thought to bring many learning benefits in higher education. However, the widespread and sustained application of MUVEs in higher education lies in learners' intention to use them, but the mechanism…
Descriptors: Student Attitudes, Intention, College Students, Educational Technology
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Wang, Faming; King, Ronnel B.; Chai, Ching Sing; Zhou, Ying – International Journal of Educational Technology in Higher Education, 2023
Despite the importance of artificial intelligence (AI) for university students to thrive in the future workplace, few studies have been conducted to assess and foster their intentions to learn AI. Guided by the situated expectancy-value theory, this study adopted both variable- and person-centered approaches to explore the role of supportive…
Descriptors: Artificial Intelligence, College Students, Intention, Student Attitudes
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Vigneshkumar Chellappa – Education and Information Technologies, 2025
Construction ergonomics is crucial for developing strategies to prevent workplace injuries and enhance worker well-being. However, this critical topic is often overlooked or inadequately addressed in civil engineering education programs. To bridge this knowledge gap, a mobile application (app) was developed to facilitate learning about…
Descriptors: Construction Industry, Human Factors Engineering, Civil Engineering, Engineering Education
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Sajuddin Saifi; Shaista Tanveer; Mohd Arwab; Dori Lal; Nabila Mirza – Education and Information Technologies, 2025
The current study is an attempt to bring to light the influence of Open AI adoption among users regarding the Indian Higher Education system by incorporating the TCT and TTF models. A questionnaire was designed to collect the data from 571 participants associated with higher education in India. The developed model with Perceived usefulness,…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Higher Education
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