Publication Date
In 2025 | 9 |
Since 2024 | 17 |
Since 2021 (last 5 years) | 46 |
Since 2016 (last 10 years) | 100 |
Since 2006 (last 20 years) | 231 |
Descriptor
College Students | 299 |
Computer Attitudes | 299 |
Student Attitudes | 192 |
Foreign Countries | 160 |
Educational Technology | 89 |
Higher Education | 83 |
Computer Uses in Education | 69 |
Technology Uses in Education | 68 |
Questionnaires | 61 |
Electronic Learning | 59 |
Self Efficacy | 57 |
More ▼ |
Source
Author
Teo, Timothy | 7 |
Al-Emran, Mostafa | 3 |
Bazelais, Paul | 3 |
Chisholm, Ines Marquez | 3 |
Doleck, Tenzin | 3 |
Isman, Aytekin | 3 |
Lemay, David John | 3 |
Marcoulides, Laura D. | 3 |
Tarhini, Ali | 3 |
Yavuz, Soner | 3 |
Abdullah, Che Zainab | 2 |
More ▼ |
Publication Type
Education Level
Audience
Teachers | 2 |
Media Staff | 1 |
Policymakers | 1 |
Students | 1 |
Location
Taiwan | 17 |
Turkey | 13 |
Malaysia | 12 |
Australia | 9 |
China | 8 |
United Kingdom | 8 |
South Korea | 7 |
Saudi Arabia | 6 |
Ghana | 5 |
Spain | 5 |
Turkey (Ankara) | 5 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Computer Attitude Scale | 9 |
Computer Anxiety Scale | 7 |
Learning Style Inventory | 3 |
Motivated Strategies for… | 2 |
NEO Five Factor Inventory | 1 |
Praxis Series | 1 |
Program for International… | 1 |
What Works Clearinghouse Rating
Andrew Kemp; Edward Palmer; Peter Strelan; Helen Thompson – British Journal of Educational Technology, 2024
Many technology acceptance models used in education were originally designed for general technologies and later adopted by education researchers. This study extends Davis' technology acceptance model to specifically evaluate educational technologies in higher education, focusing on virtual classrooms. Prior research informed the construction of…
Descriptors: College Students, Educational Technology, Models, Student Attitudes
Chengliang Wang; Xiaojiao Chen; Zhebing Hu; Sheng Jin; Xiaoqing Gu – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, as a cutting-edge technology in education, is set to significantly transform the educational landscape, raising concerns about technological ethics and educational equity. Existing studies have not fully explored learners' intentions to adopt artificial intelligence generated content (AIGC) technology, highlighting the need…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Computer Uses in Education
Matt Marino – Journal of Research Initiatives, 2024
This article explores the disconnect between student and educator perspectives regarding practical technology usage in higher education. As technology continues to play an increasingly prominent role in the educational landscape, understanding the differing viewpoints of students and educators is crucial for designing impactful technology…
Descriptors: College Students, College Faculty, Teacher Attitudes, Student Attitudes
Izida I. Ishmuradova; Alexey A. Chistyakov; Tatyana A. Brodskaya; Nikolay N. Kosarenko; Natalia V. Savchenko; Natalya N. Shindryaeva – Contemporary Educational Technology, 2025
This investigation aimed to ascertain latent profiles of university students predicated on fundamental factors influencing their intentions to acquire knowledge in artificial intelligence (AI). The study scrutinized four dimensions: supportive social norms, facilitating conditions, selfefficacy in AI learning, and perceived utility of AI. Through…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Electronic Learning
Kamil Çelik; Ahmet Ayaz – Educational Technology Research and Development, 2025
Technological advancements in recent years have accelerated the development of information and communication technologies, introducing numerous innovations. One prominent innovation is the concept of the metaverse, which has gained significant popularity and is increasingly influencing various sectors, including the economy, art, entertainment,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Computer Science Education
Perez, Melissa; Garcia, Patricia – ACM Transactions on Computing Education, 2023
Norms and values in computing education are constantly changing as dominant narratives about the role of computing in society evolve over time. Within the current evolving landscape of computing education, researchers and practitioners have advocated for ensuring people from all backgrounds, and particularly women, non-binary, and Black,…
Descriptors: Females, Computer Science Education, Student Experience, Attitudes
Meral Yavuz Kartal; Dinçay Koksal – Novitas-ROYAL (Research on Youth and Language), 2025
Using technology in foreign language learning can provide a variety of possibilities, significant opportunities, and significant benefits. Considering that Generation Z is a generation born into technology and grew up with it, it is critical to understand the intentions of Generation Z students to use technology in learning English and to find out…
Descriptors: English (Second Language), Second Language Learning, Technology Uses in Education, Student Attitudes
Marta Modrego-Alarcón; Héctor Morillo; Daniel Campos; María Teresa Navarro-Gil; Jesús Montero-Marín; Alicia Monreal-Bartolomé; Javier García-Campayo; Yolanda López-Del-Hoyo – Journal of Computing in Higher Education, 2025
Mindfulness practices have proven to be effective for improving the mental health of many populations, including university students. However, these practices can be challenging for naive meditators. Virtual reality (VR) can create virtual scenarios that facilitate the practice of mindfulness. This study presents secondary data from a randomized…
Descriptors: Computer Simulation, Metacognition, Technology Uses in Education, Universities
Hebah Alquran – ProQuest LLC, 2023
The rapid growth of electronic learning (e-learning) platforms has raised concerns about cybersecurity risks. The vulnerability of university students to cyberattacks and privacy concerns within e-learning platforms presents a pressing issue. Students' frequent and intense internet presence, coupled with their extensive computer usage, puts them…
Descriptors: Electronic Learning, Computer Security, Internet, Safety
Sultan Hammad Alshammari – International Journal of Education in Mathematics, Science and Technology, 2024
Technological advancements have led to the emergence of the Fourth Industrial Revolution (4IR). Students' readiness to use 4IR technologies is thus essential for the development of knowledgeable, competent, and skilled graduates. However, ensuring students' readiness to use 4IR technologies is quite challenging, leading to a need to understand the…
Descriptors: Technological Literacy, Learning Readiness, Skill Development, Knowledge Level
Tribikram Budhathoki; Araz Zirar; Eric Tchouamou Njoya; Achyut Timsina – Studies in Higher Education, 2024
The public release of ChatGPT in November 2022 brought excitement and concerns regarding students' use of language models in higher education. However, little research has empirically investigated students' intention to adopt ChatGPT. This study developed a theoretical model based on the Unified Theory of Acceptance and Use of Technology (UTAUT)…
Descriptors: Adoption (Ideas), Anxiety, Computer Attitudes, Artificial Intelligence
Rachel Bancroft; Rachel Challen; Rosemary Pearce – Journal of Learning Development in Higher Education, 2024
Digital confidence has been increasingly cited as key for staff and student development in tertiary education, often alongside concepts of digital competence or digital capabilities. In the past three years it has formed part of the discussion in our sector (higher education) around adapting to this time of rapid change, especially during the…
Descriptors: Digital Literacy, Self Efficacy, College Faculty, College Students
Feng Zhang; Gege Li; Heng Luo – Educational Technology & Society, 2025
With the development of virtual reality technology, 3D multi-user virtual environments (MUVEs) have attracted increasing research attention and are thought to bring many learning benefits in higher education. However, the widespread and sustained application of MUVEs in higher education lies in learners' intention to use them, but the mechanism…
Descriptors: Student Attitudes, Intention, College Students, Educational Technology
Granit Baca; Genc Zhushi – Higher Education, Skills and Work-based Learning, 2025
Purpose: This study aims to examine the integration of AI in student engagement and its benefits in the learning environment. Design/methodology/approach: The study employed a quantitative research method, analyzing data from a sample of 720 students. The econometric data analysis used the structural equation modeling (SEM) technique. Findings:…
Descriptors: Artificial Intelligence, Technology Integration, Technology Uses in Education, Higher Education
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