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Yu Zhang; Hongquan Ao – Educational Technology & Society, 2025
Music is integral to the well-being of the elderly, and e-learning has become their primary avenue for music education. Grounded in flow theory, this study explores how the engagement of the elderly in music e-learning impacts their continuous music e-learning intentions and well-being. Analyzing valid responses from 357 elderly Chinese…
Descriptors: Foreign Countries, Older Adults, Electronic Learning, Music Education
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Orit Oved; Dorit Alt – Education and Information Technologies, 2025
As AI increasingly permeates education, understanding teachers' perceptions and interactions with these technologies is essential. The Technological Pedagogical Content Knowledge (TPACK) framework provides a comprehensive lens to examine these interactions with educational AI tools (EAITs). This study explored the factors influencing teachers'…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Technology Uses in Education, Technology Integration
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Maria Kasinidou; Styliani Kleanthoys; Jahna Otterbacher – Discover Education, 2025
Artificial Intelligence (AI) is now everywhere, including in the classroom. Thus, it is crucial for teachers not only to be able to use AI, but also to understand it, as they bear the responsibility of teaching the next generation with and about AI. Although there have been extensive discussions about the importance of digital skills and knowledge…
Descriptors: Foreign Countries, Technological Literacy, Teacher Attitudes, Artificial Intelligence
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Christina Ismaniati; Nurul Inayah Khairaty; Nuraini Yusuf; Agus Supramono – Journal of Pedagogical Research, 2025
This study quantitatively identifies the mediating aspect of self-efficacy in the connection between technological pedagogical content knowledge (TPACK) and artificial intelligence (AI) adoption intention towards educators in Indonesia. Data were collected via online surveys using adapted questionnaires, and respondents were selected using…
Descriptors: Self Efficacy, Pedagogical Content Knowledge, Technological Literacy, Artificial Intelligence
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Negm, Eiman – Higher Education, Skills and Work-based Learning, 2023
Purpose: This study examines higher education students' technology readiness level in explaining adoption intention toward educational Internet of Things (IoT) needed for online learning. Design/methodology/approach: Quantitative deductive research approach is used to check the theory of technology readiness index toward IoT in education. An…
Descriptors: College Students, Technological Literacy, Readiness, Internet
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Kaspul Anwar; Juraidah Musa; Sallimah M. Salleh – Education and Information Technologies, 2025
This study examines the factors influencing preservice teachers' (PSTs) technology integration during teaching practice in teacher preparation programs. Utilizing a multidimensional framework, the study integrates models such as TPACK, UTAUT, and the Triple-E evaluation rubric, among others. The research involved a Qualtrics survey of 1,217 PSTs…
Descriptors: Preservice Teachers, Technology Uses in Education, Technology Integration, Preservice Teacher Education
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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
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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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You-Kyung Lee – Asia-Pacific Education Researcher, 2025
This study investigates the impact of cosmopolitanism's sub-dimensions (cultural, ethical, transnational media usage, and inclusive communication cosmopolitanism) and digital readiness on Korean university faculty members' intention to embrace globalization and online education. A questionnaire was administered via the University Innovation…
Descriptors: Cultural Pluralism, Technological Literacy, Readiness, College Faculty
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Guillén-Gámez, Francisco D.; Ruiz-Palmero, Julio; García, Melchor Gómez – Education and Information Technologies, 2023
All spheres of our life are being affected using technology, particularly its integration in the research processes carried out by teachers. The success of the integration of specific digital resources in research work can be affected by several factors, such as: digital skills for finding information, managing it, analyzing it, and communicating…
Descriptors: Technological Literacy, Teacher Competencies, Teacher Researchers, Educational Technology
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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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Xuemei Bai; Rifa Guo; Xiaoqing Gu – Education and Information Technologies, 2024
A growing number of studies are focusing on the effect of teachers' knowledge on their behavioral intention to use technology in teaching. This study aims to explore the influence of teachers' technological pedagogical content knowledge (TPACK) on their behavioral intention to use technology by including their technology self-efficacy and attitude…
Descriptors: Technology Integration, Educational Technology, Pedagogical Content Knowledge, Technological Literacy
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Jinhai Liu; Qin Dai; Jihe Chen – Education and Information Technologies, 2025
Technology integration into education is a significant development that has facilitated using digital resources in teaching mathematical culture (TMC). Despite the potential benefits, there are currently limited reports on factors influencing teachers' use of these resources for instructional purposes. Therefore, this study aims to determine the…
Descriptors: Educational Technology, Technology Uses in Education, Pedagogical Content Knowledge, Technological Literacy
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A. Devisakti; M. I. Rohayati – TechTrends: Linking Research and Practice to Improve Learning, 2025
Students from diverse backgrounds often face challenges that are not in parallel with the evolution of equitable assessments in higher education. Thus, this study employed the UTAUT model with the inclusion of additional constructs, namely self-efficacy and technology awareness, to examine the intention to use online assessments among diverse…
Descriptors: Computer Assisted Testing, Student Diversity, Self Efficacy, Technological Literacy
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Bagdi, Himanshu; Bulsara, Hemantkumar P.; Sankar, Deepthi; Sharma, Latika – International Journal of Educational Management, 2023
Purpose: This study aims to identify factors affecting Generation Z (Gen-Z)'s online learning (OL) behavioural intention (BI) using the extended technology acceptance model by investigating gender differences in the BI of Indian students to adopt OL. Design/methodology/approach: The proposed model was tested on 284 students from a higher education…
Descriptors: Age Groups, Electronic Learning, Student Behavior, Gender Differences
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