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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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Bilge Gök; Mahmut Ayaz; Yasemin Erdem; Yusuf Kasap – International Journal of Technology in Education, 2024
This current study aims to determine the factors affecting teachers' attitudes towards e-portfolios by using data mining methods such as the Classification and Regression Tree (CART) algorithm and Random Forest (RF) algorithm. The study group consists of 449 participants willing to participate on a volunteer basis. In the study, the data were…
Descriptors: Foreign Countries, Elementary School Teachers, Portfolio Assessment, 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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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
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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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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Noble, Sean M.; Saville, Jason D.; Foster, Lori L. – International Journal of Educational Technology in Higher Education, 2022
Post-secondary institutions are investing in and utilizing virtual reality (VR) for many educational purposes, including as a discretionary learning tool. Institutions such as vocational schools, community colleges, and universities need to understand what psychological factors drive students' acceptance of VR for learning in discretionary…
Descriptors: Computer Simulation, Video Technology, Computer Attitudes, Adoption (Ideas)
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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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Rachmatullah, Arif; Wiebe, Eric N. – Science Education, 2023
Computationally intensive science (CIS)-related disciplines and careers are predicted to be among the cutting-edge fields and high-demand jobs. Such disciplines and careers demand expertise in both traditional scientific knowledge and computer science (CS)-related understanding and skills. Preparing educational systems for developing interest and…
Descriptors: Foreign Countries, Middle School Students, Career Choice, STEM Careers
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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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Ünal, Erhan; Uzun, Ahmet Murat; Kilis, Selcan – Education and Information Technologies, 2022
This study aims to investigate how Turkish students' involvement in information and communication technologies (ICT) predicts their math and science performance in the 2018 Programme for International Student Assessment (PISA) test. The research also tests demographic variables including socioeconomic status (SES) and gender as covariates. The…
Descriptors: Foreign Countries, Secondary School Students, Socioeconomic Status, Gender Differences
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