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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
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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
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Marc Watkins; Stephen Monroe – Thresholds in Education, 2025
We begin our introduction by acknowledging the valid anxieties of faculty who face rapid technological change brought on by Generative AI (GenAI) tools without adequate institutional support or training. While some scholars advocate for GenAI resistance and others for wholesale adoption, the voices included within this volume argue for a balanced,…
Descriptors: Higher Education, Technology Uses in Education, Artificial Intelligence, Accountability
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Marcella Mandanici; Simone Spagnol – IEEE Transactions on Education, 2024
The purpose of this study is to look at how a music programming course affects the development of computational thinking in undergraduate music conservatory students. In addition to teaching the fundamentals of computational thinking, music programming, and logic, the course addresses the Four C's of education. The change in students' attitudes…
Descriptors: Music Education, Undergraduate Students, Programming, Computer Attitudes
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Mussa Saidi Abubakari; Gamal Abdul Nasir Zakaria; Juraidah Musa – Cogent Education, 2024
Various factors, including technical, organisational, cultural, and individual, can influence how people adopt digital technologies (DT). However, different contexts have produced similar yet distinct results when researchers integrated these various factors into the technology acceptance model (TAM). Two critical factors in the Islamic…
Descriptors: Foreign Countries, Higher Education, Islam, Religious Education
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Tugce Özbek; Christina Wekerle; Ingo Kollar – Education and Information Technologies, 2024
Pre-service teachers' often suboptimal use of technology in teaching can be explained by low levels of technology acceptance. The present study aims to investigate how technology acceptance can be promoted. Based on the Technology Acceptance Model by Davis (1986), we hypothesized that encouraging pre-service teachers to constructively engage with…
Descriptors: Preservice Teachers, Student Attitudes, Computer Attitudes, Technology Uses in Education
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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
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Wang, Kai – International Review of Research in Open and Distributed Learning, 2023
This study incorporated the technology acceptance model (TAM) and theory of planned behavior (TPB) to interpret students' perception of MOOCs. This study was based on a survey questionnaire; all 525 respondents were undergraduates in China. A five-point Likert scale was used to collect data in order to measure relationships among the constructs of…
Descriptors: Foreign Countries, Undergraduate Students, MOOCs, Intention
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Ankit Dhamija; Deepika Dhamija – Journal of Interdisciplinary Studies in Education, 2025
The rapid integration of AI in education has transformed instructional methodologies and administrative tasks. However, higher education teachers face challenges in creating quality assignments amidst increasing administrative burdens. This study investigates the potential of AI, specifically ChatGPT, in streamlining assignment creation. By…
Descriptors: College Faculty, Teacher Attitudes, Computer Attitudes, Artificial Intelligence
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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
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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
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Kingsley Ofosu-Ampong – Discover Education, 2024
Limited studies exist on faculty members or lecturers' perception and behavioural acceptance of artificial intelligence (AI) (e.g. ChatGPT) for their students' benefit. Teachers are the decision-makers for students' teaching and classroom activities. In this regard, the study examined lecturers' use of AI-powered tools and the factors that…
Descriptors: Teaching Methods, Teacher Attitudes, Artificial Intelligence, Foreign Countries
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Faith Sylvester Orim; Usani Joseph Ofem; Imelda Barong Edam-Agbor; Nsan Njar Nsan; John Arikpo Okri; Patience Ekpang; Blessing Ogunjimi; Isu Michael Egbe; James Omaji Ukatu; Cecilia Undie Angrey; Moses Agba Undie; Oluwaseun Akin-Fakorede; Dymphina Abua; Peace Asukwo – Discover Education, 2025
The current educational landscape is flooded with new technological tools, especially with the arrival of artificial intelligence, which is applicable at all levels of instructional practices. However, the application of technology in assessment in higher education has been understudied. This study focused on filling this research gap by examining…
Descriptors: Higher Education, College Faculty, Computer Assisted Testing, Technology Integration
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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
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Sahin Gökçearslan; Hatice Yildiz Durak; Nilüfer Atman Uslu – Interactive Learning Environments, 2024
The acceptance of IoT technologies in education by pre-service teachers will affect their intention to use these technologies in the future. Previous research has addressed the effects of variables on the acceptance of IoT technologies in education to a limited degree. Therefore, this study aims to propose and test a structural model that…
Descriptors: Foreign Countries, Preservice Teachers, Internet, Equipment
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