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Showing 31 to 45 of 546 results Save | Export
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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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Long Kim; Rungrawee Jitpakdee; Wasin Praditsilp; Sook Fern Yeo – Education and Information Technologies, 2025
Smart classrooms which are facilitated by advanced technology have become a digital learning platform for all university students. Despite their significance in higher education, the number of students adopting the current technology has remained significantly low; thus, universities have to find new solutions to convince their students to quickly…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Higher Education
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Xinyue Yu; Yuanqing Hu; Yongbin Hu; Kangkang Li – Education and Information Technologies, 2025
The growing use of generative artificial intelligence (GAI) in academic research has created a need to understand graduate students' intention to adopt this technology. This study extended the technology acceptance model (TAM) to explore the factors that influence graduate students' willingness to use GAI for academic research purposes. We…
Descriptors: Graduate Students, Intention, Artificial Intelligence, Technology Uses in Education
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Jingwen Sun; Qing Wu; Zhiji Ma; Wennan Zheng; Yongbin Hu – Educational Technology Research and Development, 2025
Generative Artificial Intelligence (GAI) has received widespread attention recently, influencing teacher education in various ways. However, there is little discussion on pre-service teachers' behavioral intention towards GAI. Therefore, this study employs subjective norm, AI self-efficacy, facilitating conditions, and trust to expand the…
Descriptors: Preservice Teachers, Artificial Intelligence, Student Attitudes, Technology Uses in Education
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Lisana Lisana; Edwin Pramana – International Journal on E-Learning, 2025
This study explores the crucial influence of technological and individual-social factors on the willingness of university students to use mobile learning (m-learning). It analyzes the direct, indirect, and overall effects of these factors. Furthermore, it examines how gender and age serve as moderators of the direct impact of each determinant on…
Descriptors: Foreign Countries, College Students, Electronic Learning, Higher Education
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Tugce Özbek; Christina Wekerle; Ingo Kollar – Education and Information Technologies, 2024
Pre-service teachers' often suboptimal use of technology in teaching can be explained by low levels of technology acceptance. The present study aims to investigate how technology acceptance can be promoted. Based on the Technology Acceptance Model by Davis (1986), we hypothesized that encouraging pre-service teachers to constructively engage with…
Descriptors: Preservice Teachers, Student Attitudes, Computer Attitudes, Technology Uses in Education
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Miaoting Cheng; Xiaoyan Lai; Da Tao; Juntong Lai; Jun Yang – Education and Information Technologies, 2024
While numerous studies have highlighted the potential benefits of programming environment (PE) use for children's learning, the boundary conditions of children's PE acceptance within the programming education context are less clear. This study fills this gap in the literature by investigating the critical determinants of children's PE use…
Descriptors: Programming, Intention, Competition, Computation
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Zhanni Luo – Educational Technology Research and Development, 2024
This study is to develop and validate a scale that measures the acceptance intention of secondary school teachers toward gamified English-as-a-foreign-language (EFL) tools. Drawing upon the technology acceptance models (TAM) and related frameworks, we synthesized a framework that includes six main factors contributing to teachers' acceptance…
Descriptors: Teacher Attitudes, Language Teachers, English (Second Language), Gamification
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Sonia Chawla; Gyan Prakash; Gursimranjit Singh; Japneet Kaur – Education and Information Technologies, 2024
Blockchain technology usage in education sector has a capacity to change the way academic records, diplomas, and credentials are maintained, communicated, and verified. Thus, this study aims at understanding the role of blockchain in the higher education sector. Mixed method approach was used in the study for a deeper understanding of the concept.…
Descriptors: Information Technology, Educational Technology, Information Management, Adoption (Ideas)
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Oliver Herbort; Philipp Raßbach; Wilfried Kunde – Cognitive Research: Principles and Implications, 2024
Scrolling is a widely used mean to interact with visual displays, usually to move content to a certain target location on the display. Understanding how user scroll might identify potentially suboptimal use and allows to infer users' intentions. In the present study, we examined where users click on a scrollbar depending on the intended scrolling…
Descriptors: Foreign Countries, Adults, Computer Use, Computer Interfaces
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Kamil Çelik; Ahmet Ayaz – Educational Technology Research and Development, 2025
Technological advancements in recent years have accelerated the development of information and communication technologies, introducing numerous innovations. One prominent innovation is the concept of the metaverse, which has gained significant popularity and is increasingly influencing various sectors, including the economy, art, entertainment,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Computer Science Education
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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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Brian Shambare; Thuthukile Jita – Education and Information Technologies, 2025
Virtual learning technologies have become integral in education globally, with developed countries leading in implementation. In contrast, Global South countries like South Africa are only beginning to conceptualise Virtual Laboratory (VL) integration, with limited practical implementation. This study underscores the importance of understanding…
Descriptors: Science Teachers, Teacher Attitudes, Computer Simulation, Science Laboratories
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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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Attuquayefio, Samuel NiiBoi – Open Education Studies, 2023
The use of a learning management system (LMS) is believed to be significant for students' academic performance, but students' attitudes regarding its use are divided. Therefore, the purpose of this study is to apply a modified version of the technology acceptance model to determine the motivators for University of Professional Studies Accra…
Descriptors: Student Motivation, Learning Management Systems, Foreign Countries, Intention
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