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Lihui Sun; Liang Zhou – Education and Information Technologies, 2025
Generative Artificial Intelligence (GenAI) has fundamentally transformed the education landscape, offering unprecedented potential for personalized learning and enhanced teaching methods. This research conducted two sub-studies aimed at exploring the influences and differences in college students' attitudes towards generative artificial…
Descriptors: Artificial Intelligence, Computer Uses in Education, Computer Attitudes, Student Attitudes
Linlin Hu; Hao Wang; Yunfei Xin – Education and Information Technologies, 2025
Although Generative Artificial Intelligence (GAI) has demonstrated significant potential in education, there is a lack of research on pre-service teachers' behavioral intentions toward GAI. This study is based on the UTAUT2 model and, for the first time, introduces perceived risk as a key variable to systematically investigate the factors…
Descriptors: Foreign Countries, Preservice Teachers, Computer Attitudes, Technology Integration
Kofi Ayebi-Arthur; Kwaku Anhwere Barfi; Valentina Arkorful; Theophilus Ocran; Nyinaku Odoi Baffour – Education and Information Technologies, 2024
Higher institutions are increasingly embracing the use of computer technologies in advancing education. Despite evidence pointing to the positive impact of computer technologies on teaching and learning, systematic research study on the role of teachers' competencies in computer technologies integration is still not saturated in literature.…
Descriptors: Computer Uses in Education, Computer Science Education, Teaching Methods, Higher Education
Al-Jumaili, Ali Azeez; Ahmed, Kawther K.; Al-Jalehawi, Ahmed Kadhim; Al-Fatlawi, Bashar G.; Al-Rekabi, Mohammed D.; Al-Sawad, Oday Sajjad; Shari, Falah Hasan; Sorofman, Bernard – Education and Information Technologies, 2021
This study aimed to assess the extent to which healthcare students use five informational technologies for daily academic purposes and to examine the changes in student perceptions toward these technologies over five years. This was a cross-sectional descriptive study in 10 different colleges in seven governorates. We conducted a survey using the…
Descriptors: Computer Uses in Education, Student Attitudes, Computer Attitudes, Pharmaceutical Education
Harmandaoglu Baz, Esra; Cephe, Pasa Tevfik – Education and Information Technologies, 2022
This study aims to test a model investigating the contribution of computer self-efficacy, computer anxiety, constructivist teaching beliefs, and computer attitude to predicting English student teachers' behavioral intention to use information and communication technologies (ICT) in their future classes. The sample of the study consists of 861…
Descriptors: Foreign Countries, Self Efficacy, Computer Literacy, Anxiety
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
Mascret, Nicolas; Marlin, Kane; Laisney, Patrice; Castéra, Jérémy; Brandt-Pomares, Pascale – Education and Information Technologies, 2023
Based on the Technology Acceptance Model (TAM), the aims of the present cross-sectional study were i) to investigate acceptance by teachers of an open-source, collaborative, free m-learning app, named "Artefac," ii) to examine whether teachers' self-approach goals (i.e., the motivation to teach more effectively than before) may be a…
Descriptors: Teacher Attitudes, Computer Attitudes, Adoption (Ideas), Open Source Technology