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Rasha Noureddine; David Boote; Laurie O. Campbell – Education and Information Technologies, 2025
A meta-analytic study was conducted of the "Unified Theory of Acceptance and Use of Technology" to understand higher education instructors use of technology in teaching and learning. Through broad searches of the years 2003-2023, 117 records were identified for initial review. After reviewing the studies and removing those studies that…
Descriptors: College Faculty, Teacher Attitudes, Technological Literacy, Computer Literacy
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Unal, Erhan; Uzun, Ahmet Murat – British Journal of Educational Technology, 2021
Educational social network sites have many uses in the field of education. The present paper aims to determine factors influencing students' behavioral intention to use a popular educational social network site, Edmodo. Using an extension of the technology acceptance model, we analyzed quantitative responses of 218 university students, registered…
Descriptors: College Students, Intention, Social Media, Technology Integration
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Al-Maroof, Rana; Al-Qaysi, Noor; Salloum, Said A.; Al-Emran, Mostafa – Technology, Knowledge and Learning, 2022
Examining the blended learning (b-learning) acceptance is not a new research topic, and it has been tackled by many scholars. Nevertheless, the analysis of information systems (IS) models that are used to study the acceptance of b-learning is regarded as a topic of great importance. To examine these models and afford scholars a holistic view of…
Descriptors: Blended Learning, Information Systems, Models, Holistic Approach
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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 R. Frechette – ProQuest LLC, 2024
This study investigates student perceptions of artificial intelligence (AI). The study analyzed four independent variables -- age, gender, school, and employment -- to predict students' level of readiness to adopt AI within an educational setting. Using an instrument with two constructs, data was collected from a diverse, multicultural group of…
Descriptors: Community College Students, Community Colleges, Student Attitudes, Artificial Intelligence
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Yesilyurt, Etem; Vezne, Rabia – Education and Information Technologies, 2023
Even though there is an abundance of research on computer supported education (CSE), digital literacy (DL), technological literacy (TL), and internet literacy (IL), the correlation between them and their effect on each other have not been analyzed in the literature. However, no study has been conducted on the correlation between and effect of CSE,…
Descriptors: Preservice Teachers, Digital Literacy, Technological Literacy, Internet
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Madina Bekturova; Saule Tulepova; Altnay Zhaitapova – Education and Information Technologies, 2025
The advancement of technologies has resulted in the boost of a popular chatbot software -- ChatGPT. It is ripe with potential, yet has introduced various challenges, especially in the world of education. This paper aims to explore how TEFL (Teaching English as a foreign language) students perceive the usefulness and ease of using ChatGPT in regard…
Descriptors: Foreign Countries, Predictor Variables, Second Language Learning, English (Second Language)
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Zhang, Jing; Dumont, Georgette E.; Sumbera, Becky G.; Medina, Pamela S.; Kordrostami, Melika; Ni, Anna Ya – Online Learning, 2023
Technology adoption patterns, in general, have been shown to have a common set of predictive factors such as performance expectancy, social influence, voluntariness, effort expectancy, and facilitating conditions. However, the significance of such factors varies dramatically by situation and conditions. In the faculty adoption of online teaching…
Descriptors: COVID-19, Pandemics, College Faculty, Teacher Attitudes
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Mohan Yang; Shiyan Jiang; Belle Li; Kristin Herman; Tian Luo; Shanan Chappell Moots; Nolan Lovett – British Journal of Educational Technology, 2025
Generative artificial intelligence brings opportunities and unique challenges to nontraditional higher education students, stemming, in part, from the experience of the digital divide. Providing access and practice is critical to bridge this divide and equip students with needed digital competencies. This mixed-methods study investigated how…
Descriptors: Nontraditional Students, Artificial Intelligence, Technology Uses in Education, Man Machine Systems
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Ogemdi Uchenna, Eze; Uzoma Oluchukwu, Nwabunze – Education and Information Technologies, 2022
This paper examined the adoption and usage of e-learning communication tools by Mass Communication students of selected privately-owned Nigerian universities. The unified theory of acceptance and use of technology (UTAUT) was the theoretical lens that guided the study. The online survey was used to gather data from 358 students. Data analysis was…
Descriptors: Mass Media, Student Attitudes, Computer Attitudes, Adoption (Ideas)
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Jiajun, Guo; Islam, A. Y. M. Atiquil; Teo, Timothy; Spector, Jonathan Michael – Instructional Science: An International Journal of the Learning Sciences, 2019
This study focuses on visual creativity and how it can be supported with computer technologies and thereby be used to support learning and instruction. However, studies related to computer-enabled visual creativity have not been frequently explored. As such, the current research proposes a model consisting of four major factors: (a) computer-aided…
Descriptors: Creativity, Visual Arts, Self Efficacy, Computer Attitudes
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Balouchi, Shima; Samad, Arshad Abdul – Education and Information Technologies, 2021
There is a wealth of research investigating language learners' adoption of digital technology in higher education. To date, however, research primarily focuses on the implementation of technology in formal learning either inside or outside of the classroom, and the associations between factors influencing learners' informal English learning in…
Descriptors: Second Language Learning, English (Second Language), Informal Education, Intention
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Kaya, Suat – Research in Pedagogy, 2021
This research was conducted in an attempt to examine online learning satisfaction (OLS) level of the pre-service teachers and the influence of antecedents including computer anxiety (CA), internet anxiety (IA), online course anxiety (OCA), internet self-efficacy (ISE) and transactions including learner-instructor interaction (LII), learner-content…
Descriptors: Predictor Variables, Electronic Learning, Student Satisfaction, Preservice Teachers
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Odaci, Hatice; Erzen, Evren – Computers in the Schools, 2021
The purpose of this study was to examine to what extent the attitude toward computers and disposition to critical thinking of postgraduate students in the field of educational sciences predicted their research self-efficacy and to investigate the difference in these variables on the basis of students' postgraduate education levels. Participants…
Descriptors: Computer Attitudes, Critical Thinking, Thinking Skills, Research Skills
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Haseski, Halil Ibrahim – International Journal of Research in Education and Science, 2020
The present study aimed to determine the effect of individual cyber security skills of pre-service teachers on their attitudes towards computer-assisted education. Thus, the present research was designed as a correlational study. The study participants included 241 senior pre-service teachers in different departments at Manisa Celal Bayar…
Descriptors: Computer Security, Computer Literacy, Preservice Teachers, Computer Assisted Instruction
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