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Showing 1 to 15 of 38 results Save | Export
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Suzhen Duan; Marisa Exter; Qing Li – TechTrends: Linking Research and Practice to Improve Learning, 2024
Preservice teachers' beliefs regarding technology integration significantly influence their future teaching practices. This qualitative study examines the beliefs and intentions of 51 preservice teachers within the context of technology integration in their envisioned teaching scenarios. Thematic analysis identified three primary themes. Firstly,…
Descriptors: Preservice Teachers, Student Attitudes, Beliefs, Technology Integration
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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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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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Jian Dai; Xing Zhang; Chengliang Wang – Education and Information Technologies, 2024
The extant research on the factors influencing online education platform learners' continuance intention has yielded inconsistent results, which necessitates a thorough review and reanalysis of relevant literature. Therefore, this study combines different theoretical models and conducts a meta-analysis on 219 articles obtained from Web of Science,…
Descriptors: Educational Technology, Technology Uses in Education, Intention, Online Courses
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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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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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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Chih-Hung Wu; A.-How You; Tse-Ping Dong; Chih-Hsing Liu – Asia-Pacific Education Researcher, 2024
The utilization of online platforms for the preservation of the culture of Chinese calligraphy has become increasingly common in the digital era. We studied learners' intention to use online calligraphy teaching websites, adopting a mixed research method including both quantitative and qualitative analyses to examine the factors that engage online…
Descriptors: Influences, Intention, Learner Engagement, Electronic Learning
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Qianwen Song; Jiafeng Zhang; Hongsheng Wang; Zhan Zhang; Qing Zhou – Journal of Science Education and Technology, 2024
The multiple benefits of virtual experiments applied to science education depend heavily on science teachers' intentions to use them. The inducing mechanism is a process that combines different conditions of multiple factors. From the perspective of overall configuration, this study used the fuzzy-set qualitative comparative analysis (fsQCA)…
Descriptors: Foreign Countries, Science Teachers, Science Instruction, Science Experiments
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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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B. Herawan Hayadi; Taqwa Hariguna – Contemporary Educational Technology, 2025
This study explores the factors influencing student engagement and behavioral intention towards mobile learning platforms, with a focus on widely used platforms in Indonesia, such as Ruangguru, Zenius, and Quipper. A total of 375 questionnaires were distributed, out of which 363 were deemed valid and used for analysis. The research employed…
Descriptors: Student Behavior, Intention, Telecommunications, Handheld Devices
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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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Ismaila Temitayo Sanusi; Musa Adekunle Ayanwale; Thomas K. F. Chiu – Education and Information Technologies, 2024
Artificial Intelligence (AI) has triggered profound reforms across industries, including education. These developments necessitate the inclusion of AI as a subject in K-12 classrooms. However, the need for students to learn AI demands that educators pay increasing attention, believe in its relevance and intend to promote it among their students…
Descriptors: Artificial Intelligence, Elementary Secondary Education, Teacher Attitudes, Intention
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