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Showing 1 to 15 of 46 results Save | Export
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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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Weikang Lu; Chenghua Lin – Education and Information Technologies, 2025
Artificial intelligence is increasingly integrated into daily life, and modern educated individuals should have the ability to use AI tools correctly to improve work, study, and life efficiency. In this context, artificial intelligence literacy has been proposed. Due to the lack of consensus on the constructs of artificial intelligence literacy,…
Descriptors: Artificial Intelligence, Digital Literacy, Student Attitudes, College Students
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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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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
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Manuela Farinosi; Claudio Melchior – European Journal of Education, 2025
Artificial intelligence (AI) tools have the potential to revolutionise educational practices, but their use raises ethical and organisational concerns for higher education institutions (HEIs). We investigated Italian students' perception and usage of AI tools at the University of Udine using questionnaires (N = 531) with fixed and open-ended items…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Attitudes, Computer Attitudes
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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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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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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
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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
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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
Devender Rapolu – ProQuest LLC, 2024
As the number and complexity of instructional tools have increased, universities have rapidly adapted to ensure their students have the necessary tools and resources for academic success (Rafi et al., 2014; Rafi et al., 2020). One of these adaptations has been the creation of virtual learning platforms using Virtual Reality (VR) technology. This…
Descriptors: Undergraduate Students, Black Colleges, Computer Simulation, STEM Education
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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
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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
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