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Showing 1 to 15 of 47 results Save | Export
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Sultan Hammad Alshammari; Muna Eid Alrashidi – International Journal of Information and Communication Technology Education, 2024
The metaverse is a mixed blend of digital and tangible worlds, indicating the future directions of Internet sector development. This study aimed to assess the factors affecting students' intentions to use a metaverse platform. The unified theory of acceptance and use of technology was applied as the research model. Data were collected using a…
Descriptors: Intention, Computer Simulation, Student Attitudes, Foreign Countries
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Godawa Pathiranage Suresh Nalaka; Damith Lahiru Ranagala; Gamage Rajitha Niromi Gunarathne; Matibambiye Dhammasiri; Imbule Gamaralalage Nirosha Prabashini – Anatolian Journal of Education, 2023
Many higher educational institutes adopted digital tools to facilitate teaching and learning activities online due to COVID-19 pandemic. Among them, university academics had to rely on Zoom Meetings for teaching even if Zoom is generally used as a virtual communication tool. In order to identify future developments in implementing online education…
Descriptors: Foreign Countries, Videoconferencing, Educational Technology, Social Influences
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Xiangping Cui; Zihao Zhang; Susan Zhang; Jun Shen; Wei Han; Hanqi Zhang – IEEE Transactions on Education, 2024
College teachers' acceptance of smart teaching tools affects whether they can make effective use of such tools while teaching, with the goal of materializing deep integration of technology and teaching activities. This article constructs a hypothetical model of college teachers' technology acceptance path for smart teaching tools based on the…
Descriptors: Educational Technology, Influences, College Faculty, Teacher Attitudes
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Priya Saha; Md. Shakhawat Hossain; Nirmal Chandra Roy; Abdullah Al Masud; Ruhul Amin – On the Horizon, 2025
Purpose: This study aims to evaluate students' intention and actual use (AU) of artificial intelligence (AI) tools' to discover how the power of AI influences learning and academic success. Design/methodology/approach: This paper used the unified theory of acceptance and use of technology (UTAUT) to develop a structural equation model (SEM) and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Student Behavior
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Jinhai Liu; Qin Dai; Jihe Chen – Education and Information Technologies, 2025
Technology integration into education is a significant development that has facilitated using digital resources in teaching mathematical culture (TMC). Despite the potential benefits, there are currently limited reports on factors influencing teachers' use of these resources for instructional purposes. Therefore, this study aims to determine the…
Descriptors: Educational Technology, Technology Uses in Education, Pedagogical Content Knowledge, Technological Literacy
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Mavis S. B. Mensah; Keren N. A. Arthur; Enoch Mensah-Williams – E-Learning and Digital Media, 2024
This study examines the factors that influence the intention and actual use of e-learning in entrepreneurship education by undergraduate students. The paper relies on a predictive study design and the partial least squares structural equation modelling to analyse data from a cluster sample of 599 students from the University of Cape Coast, Ghana.…
Descriptors: Entrepreneurship, Undergraduate Students, Electronic Learning, Foreign Countries
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Sultan Hammad Alshammari; Mohammed Habib Alshammari – International Journal of Information and Communication Technology Education, 2024
The current study aims at assessing the factors which could affect students' use of ChatGPT. The study proposed a theoretical model that included five factors. Data were collected from 136 students using a questionnaire. The data were analyzed using two steps: CFA for measuring the model and SEM for analyzing the relationships and testing…
Descriptors: Influences, Technology Uses in Education, Artificial Intelligence, Natural Language Processing
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Mehdi Haseli Songhori; Ida Fatimawati Adi Badiozaman; Reza Ahmadi – Journal of Further and Higher Education, 2024
This study used the Unified Theory of Acceptance and Use of Technology (UTAUT2) model to (i) predict factors influencing HE faculty members' acceptance of hybrid instruction and (ii) identify factors influencing the faculty members' behavioural intention to use hybrid instruction. Data were analysed using SPSS 22 and AMOS 23 software. Structural…
Descriptors: Blended Learning, Intention, College Faculty, COVID-19
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Xin Tang; Zhiqiang Yuan; Shaojun Qu – Journal of Computer Assisted Learning, 2025
Background: Generative artificial intelligence (AI) represents a significant technological leap, with platforms like OpenAI's ChatGPT and Baidu's Ernie Bot at the forefront of innovation. This technology has seen widespread adoption across various sectors of society and is anticipated to revolutionise the educational landscape, especially in the…
Descriptors: Influences, College Students, Student Behavior, Intention
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Lei Du; Beibei Lv – Education and Information Technologies, 2024
This research examines the influence of integrating generative artificial intelligence (GAI) in education, focusing on its acceptance and utilization among elementary education students. Grounded in the Task-Technology Fit (TTF) Theory and an expanded iteration of the Unified Theory of Acceptance and Use of Technology (UTAUT) model, the study…
Descriptors: Influences, Student Attitudes, Artificial Intelligence, Technology Uses in Education
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Ayodele Abosede Ogegbo; Mafor Penn; Umesh Ramnarain; Oniccah Pila; Christo Van Der Westhuizen; Noluthando Mdlalose; Ivan Moser; Martin Hlosta; Per Bergamin – Education and Information Technologies, 2024
This study investigated how pre-service teachers perceive and plan to use a virtual reality classroom for science teaching during microteaching practices. The UTAUT 2 model was adopted as the conceptual framework for this study. Data were collected through an online survey from eighty-three pre-service science teachers from a large metropolitan…
Descriptors: Preservice Teachers, Student Attitudes, Computer Simulation, Science Instruction
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Ping Deng; Bing Chen; Wei Zeng; Xinhua Fang – SAGE Open, 2024
E-learning platform (ELP) provides economic and efficient channels to share and learn knowledge online without time and location restrictions. Earlier studies have identified determinants that impact students' intention to use new technologies in different learning contexts, yet few have tried to investigate the effect of students' satisfaction of…
Descriptors: Intention, Electronic Learning, Psychological Needs, Educational Technology
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Cong Doanh Duong – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: Although previous research has acknowledged the significance of comprehending the initial acceptance and adoption of ChatGPT in educational contexts, there has been relatively little focus on the user's intention to continue using ChatGPT or its continued usage. Therefore, the current study aims to investigate the students' continuance…
Descriptors: Intention, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
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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)
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Terblanche, Nicky; Kidd, Martin – SAGE Open, 2022
Chatbots are increasingly applied in various contexts including helping professions, such as organizational and life coaching. Coaching facilitates individual wellness, behavioral change, and goal attainment in a reflective, non-directive manner, and is considered one of the fastest-growing professions. The use of knowledge imparting service…
Descriptors: Educational Technology, Computer Software, Coaching (Performance), Age Differences
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