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Fairuz Anjum Binte Habib – Education and Information Technologies, 2025
The incorporation of artificial intelligence (AI) into education is becoming more important over time, although faculty viewpoints on this integration are not well recognized. To analyze educators' attitudes towards AI tools in Bangladesh, this research built a modified model that included components from the technology acceptance model (TAM),…
Descriptors: Teacher Attitudes, Intention, Artificial Intelligence, Technology Uses in Education
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
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
Artur Strzelecki – Education and Information Technologies, 2025
This research explored the attitudes of higher education students toward ChatGPT, an AI tool commonly employed for academic assistance. Our aim was to investigate students' acceptance and use of ChatGPT during their academic pursuits. We targeted two distinctive groups for our study: undergraduate and postgraduate students. Our findings show that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Undergraduate Students
Medina, Pamela; Vij, Nidhi; Ni, Anna; Zhang, Jing; Hou, Yunfei; McIntyre, Miranda May – International Journal of Adult Education and Technology, 2022
The COVID-19 pandemic heavily accelerated the adoption of online education. Technology adoption literature indicates that individuals are motivated to adopt technology as a result of various factors including social influence, performance expectations, effort expectations, and the conditions that facilitate their use. These factors are mediated by…
Descriptors: College Faculty, Teacher Attitudes, Web Based Instruction, Online Courses
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
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)
Wu, Ting-Fang; Chen, Cheng-Ming – Journal of Special Education Technology, 2023
The purpose of the current study was to develop an appropriate model to represent the relationships among all the significant factors about information and communication technology use for university students, both with and without learning disabilities. This study was conducted in Taiwan with a sample consisting of an international array of…
Descriptors: College Students, Students with Disabilities, Learning Disabilities, Models
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)
Nja, Cecilia Obi; Idiege, Kimson Joseph; Uwe, Uduak Edet; Meremikwu, Anne Ndidi; Ekon, Esther Etop; Erim, Costly Manyo; Ukah, Julius Ukah; Eyo, Eneyo Okon; Anari, Mary Ideba; Cornelius-Ukpepi, Bernedette Umalili – Smart Learning Environments, 2023
This study investigated the factors influencing science teachers' 'Artificial Intelligence' (AI) utilization by using the 'Technology Acceptance Model' (TAM). The factors investigated alongside TAM variables were teachers' data like; age, sex, and residence type. TAM items that were correlated in this study included; self-esteem, stress and…
Descriptors: Science Teachers, Educational Technology, Technology Integration, Artificial Intelligence
Sánchez-Gómez, María Cruz; Martín-García, Antonio Víctor; Mena, Juanjo – International Journal of Learning Technology, 2020
Blended learning (BL) is probably the most widely used approach in higher education, with characteristics that make it an excellent way to introduce a paradigm shift. This paper analyses the beliefs, expectations and attitudes of university teaching staff regarding the acceptance - and adoption - of BL methodologies from a quantitative and…
Descriptors: Blended Learning, College Faculty, Teacher Attitudes, Technology Integration
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)
Altalhi, Maryam – Education and Information Technologies, 2021
Massive open online courses (MOOCs) are a mode of online learning available to students at any place in the world to improve their skills. Their acceptance for academic purposes remains low, and it is desirable to promote their usage among students. The unified theory of acceptance and use of technology (UTAUT) was enhanced by the inclusion of…
Descriptors: Foreign Countries, Online Courses, Technology Uses in Education, Higher Education
Doleck, Tenzin; Bazelais, Paul; Lemay, David John – Journal of Computing in Higher Education, 2018
It is widely recognized and accepted that behavioral intention is the key direct determinant of technology use and the majority of research continues to promote this practice. Yet the influence of behavioral intention (i.e., an individual's conscious plan to use a technology) has been called into question more recently, as behavioral intention…
Descriptors: Computer Attitudes, Intention, Technology Uses in Education, Electronic Learning
Norah Fahad Albadran – ProQuest LLC, 2020
This study aimed to explore faculty members' acceptance of the flipped classroom model (FCM) based technology with student-centered approach in their classrooms in Saudi universities. Specifically, the study investigated factors that influence faculty members acceptance or rejection of the adoption and use of the FCM based technology by…
Descriptors: Foreign Countries, Higher Education, Universities, College Faculty
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