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Nitzan Elyakim – Education and Information Technologies, 2025
This study examines educators' perceptions of adopting Generative Artificial Intelligence (GenAI) tools in education through the lens of the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model. Using structural equation modeling (SEM) on data collected from 490 participants, the research investigates: (a) the extent to which…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Teacher Attitudes
Ferhan Sahin; Yusuf Levent Sahin; Muhammet Recep Okur – Journal of Computing in Higher Education, 2025
While the significance of motivation in the adoption of mobile learning has been well-documented in numerous studies, empirical evidence regarding the roles of cognitive, social, and affective needs remains limited. This presents a notable gap in the field of education concerning the influence of motivational factors on mobile learning acceptance.…
Descriptors: Electronic Learning, Technology Uses in Education, Technology Integration, Adoption (Ideas)
Imran Mazid; Adrienne Wallace; Jin Chen; Sera Choi – Journalism and Mass Communication Educator, 2025
Artificial Intelligence (AI) can transform all sectors and daily life, but its integration into Public Relations (PR) education and adoption by PR professors is underexplored. This study examines these factors using the Technology Acceptance Model (TAM), focusing on seven variables: social influence, perceived AI knowledge, trust, emotion, AI…
Descriptors: Artificial Intelligence, Computer Uses in Education, Public Relations, Media Education
Artur Strzelecki; Karina Cicha; Mariia Rizun; Paulina Rutecka – Education and Information Technologies, 2024
Since OpenAI released ChatGPT, the discussion on its usage in education has been conducted by students and teachers of every education level. Also, many studies have been performed on the tool's possibilities and the threats related to its usage, such as incomplete or inaccurate information obtained or even plagiarism. Many universities worldwide…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Faculty, Teacher Attitudes
Lei Feng; Mengqi Liu; Weixia Hou – European Journal of Education, 2025
Generative Artificial Intelligence (GAI) technology, represented by large language models, has driven an in-depth transformation of foreign language education and research. In the era of digital intelligence, how digital technology empowers English as a Foreign Language (EFL) teaching and academic research is a new topic for foreign language…
Descriptors: Language Teachers, Second Language Instruction, English (Second Language), Teacher Attitudes
de Souza Rodrigues, Marco Aurélio; Chimenti, Paula; Nogueira, Antonio Roberto Ramos – Education and Information Technologies, 2021
Teaching and learning processes have not experienced major changes during the last centuries. However, eLearning platforms may transform these processes, turning the classroom from a teacher-centered and standardized space into a student-centered, customizable and highly scalable environment. These changes impact many different stakeholders such…
Descriptors: Electronic Learning, Ecology, Technology Integration, Higher Education
Godfrey Chitsauko Muyambi; Mmankoko Ziphorah Ramorola – Education and Information Technologies, 2025
South African schools are increasingly integrating digital technology into their curricula to enhance educational outcomes. This study aims to evaluate educators' readiness to teach using digital media (DM) and the effectiveness of the e-learning policy in addressing disparities across schools. The hypothesis is that disparities in access to…
Descriptors: Foreign Countries, Secondary School Teachers, Teacher Attitudes, Computer Attitudes
Razib Chandra Chanda; Ali Vafaei-Zadeh; Haniruzila Hanifah; T. Ramayah – Education and Information Technologies, 2025
Artificial intelligence (AI) is reshaping university education by offering personalized teaching assistance tailored to each student's cognitive needs. Despite its global rise, AI's adoption in higher education in developing nations like Bangladesh is sparse. This study, gathering 363 responses from Bangladeshi universities, employed PLS-SEM, ANN,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Developing Nations
Iddrisu Salifu; Francis Arthur; Bernard Yaw Sekyi Acquah; Ernest Opoku; Sharon Abam Nortey; Eric Boateng – Discover Education, 2025
This study based on an extended Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model, examines factors influencing graduate students' behavioural intention towards adoption and actual use of generative artificial intelligence (GenAI). Using a cross-sectional data from 415 graduate students in Ghana, this study employed the partial…
Descriptors: Graduate Students, Technology Uses in Education, Artificial Intelligence, Foreign Countries
Steven Beyer; Frederik Grave-Gierlinger; Lars Meyer-Jenßen – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2024
Considering the widespread belief in the potential of mobile technology to enhance core activities of teachers, like lesson planning and preparation, limited research has been conducted on the use of mobile technology to support these activities. To address this research gap, this study delved into the acceptance of an intent-based chatbot…
Descriptors: Preservice Teachers, Student Attitudes, Beliefs, Users (Information)
Branko, Andic; Šorgo, Andrej; Helm, Christoph; Weinhandl, Robert; Lang, Vida – TechTrends: Linking Research and Practice to Improve Learning, 2023
Owing to its advantages such as producing durable models and easy accessibility, 3D modeling and printing (3DMP) has become increasingly popular in educational practice and research. However, the results of many studies have shown that the adoption rate of 3DMP among teachers is still low, especially in elementary schools. Therefore, research is…
Descriptors: Elementary School Teachers, Teacher Attitudes, Adoption (Ideas), Technology Uses in Education
Shah, Sayed Kifayat; Tang, Zhongjun; Sharif, Sayed Muhammad Fawad; Tanveer, Arifa – Smart Learning Environments, 2021
The social distancing due to the COVID-19 epidemic has disturbed all sectors of society, including education. To maintain normal operations, it is necessary to adapt quickly to this situation. Many technologies and platforms have rushed to offer their support to users. This article adopts a critical perspective to reflect on the factors that may…
Descriptors: Student Behavior, Intention, Adoption (Ideas), Technology Integration
Ranellucci, John; Rosenberg, Joshua M.; Poitras, Eric G. – Journal of Computer Assisted Learning, 2020
Understanding how prepared teachers are to use technology to enhance their teaching can assist researchers to support them better, yet the theoretical basis for understanding teachers' self-beliefs is in need of stronger empirical support. The first objective of this study was to replicate and extend prior research that empirically tested portions…
Descriptors: Preservice Teachers, Technology Uses in Education, Computer Attitudes, Adoption (Ideas)
Ismail Yildiz; Ersin Topcu; Esra Izmir – i.e.: inquiry in education, 2023
This study delves into the transformative potential of gamification within the realm of education by integrating game elements into a lesson process primarily designed for non-gaming purposes and contexts. In this study, gamification was created by incorporating game elements such as points, badges and leaderboards into a lesson process designed…
Descriptors: Gamification, Preservice Teachers, Social Studies, Student Attitudes
Thomas, Troy; Singh, Lenandlar; Renville, Dwayne – International Journal of Education and Development using Information and Communication Technology, 2020
This paper focuses on the usefulness of the UTAUT model in explaining behavioural intention to adopt mobile learning in the Caribbean. It employs confirmatory factor analysis with robust maximum likelihood estimation, to evaluate the measures, comparability of the measures and to compare the means of the factors between five university-territory…
Descriptors: Foreign Countries, Educational Technology, Technology Integration, Intention

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