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Jieun Kim; Joonho Moon – SAGE Open, 2025
This study aims to validate the applicability of the technology acceptance model (TAM) in the context of using Chat GPT as an educational tool. TAM serves as the theoretical foundation for this research. To investigate the antecedents of technology acceptance, this study focused on three key attributes: information credibility, enjoyment, and…
Descriptors: Usability, Technology Uses in Education, Artificial Intelligence, Credibility
Chenxi Liu; Yixi Wang; Marvin Evans; Ana-Paula Correia – Education and Information Technologies, 2024
Mobile learning has gained significant recognition for its beneficial effects on learning across various dimensions. Nonetheless, ensuring consistent learner acceptance of mobile learning remains a critical factor to address. This meta-analysis study is the first comprehensive examination of critical antecedents impacting learners' perceived…
Descriptors: Handheld Devices, Telecommunications, Electronic Learning, Usability
Tri Wahyuningsih; Eko Sediyono; Kristoko Dwi Hartomo; Irwan Sembiring – Journal of Education and Learning (EduLearn), 2024
Gamification can make learning more fun and engaging for students. Software engineering can utilize gamification to help students learn and improve their skills from the complexity of software engineering. This study used quantitative research to examines perceived ease of use, student satisfaction, and perceived usefulness to measure gamification…
Descriptors: Gamification, Educational Quality, Intention, Computer Software
Mehrbakhsh Nilashi; Rabab Ali Abumalloh – Education and Information Technologies, 2025
Immersive technologies strive to enhance users' digital experiences by enabling more interactive, engaging, and realistic virtual environments. Despite the growing popularity and advancements in immersive technologies, achieving widespread user acceptance remains a significant challenge. In addition, previous acceptance models may not fully…
Descriptors: Computer Attitudes, Computer Simulation, Simulated Environment, Physical Environment
Ramadhan, Arief; Hidayanto, Achmad Nizar; Salsabila, Ghina Almira; Wulandari, Intan; Jaury, Jessica Alexia; Anjani, Nadia Nabila – Education and Information Technologies, 2022
E-Learning has been massively used in higher education, one of which is in Universitas Indonesia. The e-learning system in Universitas Indonesia is called Student Centered E-Learning Environment Universitas Indonesia (SCELE UI). This research determines the effect of usability on the intention to use SCELE UI in a sustainable way. The Expectation…
Descriptors: Usability, Electronic Learning, Intention, Sustainability
Joseph Lobo; Genesis Dimalanta; Conrad Buerkley; Susan Manuel; Amiel Alfonso; Celter Cris Torres; Gerald Suba – Journal of Educators Online, 2025
This study adapted Davis' (1989) Technology Acceptance Model (TAM) to investigate what influences students' attitudes on using Microsoft Teams (MS Teams) as a learning tool for Physical Education (PE). Partial Least Square-Structural Equation Modeling (PLS-SEM) analysis of survey responses from 1,916 Mabalacat City College students enrolled in an…
Descriptors: Physical Education, Computer Software, Instructional Effectiveness, Computer Uses in Education
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
Zhao Li; Jirawan Deeprasert; Songyu Jiang – African Educational Research Journal, 2024
This study employs Structural Equation Modeling (SEM) and the Technology Acceptance Model (TAM) framework to explore the factors influencing Massive Open Online Courses (MOOCs) usage among college students in Southwest China. Using probability sampling, data were collected from 602 participants through an online survey distributed over a period of…
Descriptors: Foreign Countries, MOOCs, Usability, College Students
Chengming Zhang; Min Hu; Weidong Wu; Farrukh Kamran; Xining Wang – Education and Information Technologies, 2025
Artificial intelligence (AI) integration in education has grown significantly recently. However, the potential risks of AI have led to educators being wary of implementing AI systems. To discover whether AI systems can be effective in the classroom in the future, it is critical to understand how risk factors (e.g., perceived safety risks,…
Descriptors: Foreign Countries, Artificial Intelligence, Trust (Psychology), Preservice Teachers
Thinley Wangdi; Karma Sonam Rigdel – Journal of Education for Teaching: International Research and Pedagogy, 2025
This qualitative study explored the factors that influence teachers' behavioural intention (BI) to use ChatGPT for teaching. The data was collected from 214 Bhutanese teachers using open-ended questions and interviews. The thematic analysis revealed four key factors that are likely to influence teachers' BI to use ChatGPT in the context. These…
Descriptors: Teacher Attitudes, Intention, Artificial Intelligence, Computer Software
Mirjana Maricic; Branko Andic; Soeharto Soeharto; Filiz Mumcu; Stanko Cvjeticanin; Zsolt Lavicza – Education and Information Technologies, 2025
According to the theoretical frameworks and teaching practice, the constructs of the Technology acceptance model - TAM and the Cognitive load theory - CLT are in a close cause-and-effect relationship, and gaining insights into this issue is essential for educators. Our study aimed to examine continuous teaching intention (CTI) with emerging…
Descriptors: Teacher Attitudes, Intention, Technology Uses in Education, Elementary School Teachers
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
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
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
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