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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
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
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
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
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
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
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
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
Ahmed, Waqas – Education and Information Technologies, 2023
Digital competence among business research students is heralded as a pragmatic expression of the quality of research output and effective collaboration. Self-Directed Learning (SDL) is a resourceful personal and professional development technique, yet there is minimal research on SDL for digital competence among business scholars. This study…
Descriptors: Technological Literacy, Business, Research, College Students
Habibi, Akhmad; Riady, Yasir; Samed Al-Adwan, Ahmad; Awni Albelbisi, Nour – Computers in the Schools, 2023
The main purpose of the current research was to explore the relationships between beliefs/knowledge and technology integration (TI) during teaching practice (i.e., placement or practicum) among Indonesian pre-service teachers. Five core variables of the theory of planned behavior or TPB (subjective norms, attitudes, perceived behavioral control,…
Descriptors: Preservice Teachers, Student Attitudes, Beliefs, Knowledge Level
Muhammad Ittefaq; Ali Zain; Rauf Arif; Taufiq Ahmad; Laeeq Khan; Hyunjin Seo – Journal of International Students, 2025
GenAI has revolutionized higher education across the globe. One group that is particularly impacted is international students. We examined the factors influencing international students' intentions to use GenAI. We recruited participants studying in the U.S. through an online survey. Our results suggest that attitudes toward GenAI use, PEU, PU,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Foreign Students, Student Attitudes
Milutinovic, Verica – Education and Information Technologies, 2022
Many seem to believe that today's pre-service teachers as born after 1980 are digital natives, or that they are "native speakers" of the digital language. Nevertheless, there is no evidence that their digital native characteristics determine whether or not they would use technology in the classroom. Although not widely evaluated, the…
Descriptors: Preservice Teachers, Technological Literacy, Intention, Technology Uses in Education
Yu-Yin Wang – Education and Information Technologies, 2025
Considering the proliferation of artificial intelligence (AI) technologies, it has become crucial to integrate AI-related knowledge and skills education into business management curricula. This is a significant concern for both academics and practitioners. However, in the context of university business management education, few studies have…
Descriptors: Individual Differences, Intention, Artificial Intelligence, Technology Uses in Education
Angelos Rodafinos; Vassilis Barkoukis; Katerina Tzafilkou; Despoina Ourda; Anastasios A. Economides; Maria Perifanou – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study aims to examine the influence of digital competences, technology acceptance, and individual factors (gender and educational level) on academic achievement in Physical Education and Sports Science (PESS). Background: Prior research has established a positive correlation between digital competences and performance, but the…
Descriptors: Technological Literacy, Academic Achievement, Physical Education, Athletics
Senyigit, Çigdem; Serin, Oguz – Participatory Educational Research, 2022
The purpose of this research is to determine the role of primary school pre-service teachers' perceived information and communication technology (ICT) competencies on integrated science, technology, engineering, and mathematics (STEM) teaching intentions. Research participants are 242 primary school pre-service teachers enrolled at a state…
Descriptors: Preservice Teachers, Elementary School Teachers, Technological Literacy, Teacher Competencies