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Yu-Yin Wang; Yu-Wei Chuang – Interactive Learning Environments, 2024
A review of the literature shows that much academic effort has been expended studying information system usage and information technology adoption. However, these theories/models based on psychological research are not specific to the virtual reality context and may not fully capture the nature of virtual reality-based learning system (VR-BLS)…
Descriptors: Computer Simulation, Electronic Learning, Technology Uses in Education, Learning Management Systems
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Emmanuel John Anagu; Oladunjoye John Abiodun; Felicia Cletus; Brown Ephraim – International Journal of Technology in Education and Science, 2024
Metaverse, an amalgamation of diverse information technologies, is seen as the future of the internet and holds promise for transforming education. Leveraging metaverse media for immersive learning has the potential to reshape education practices. Despite being a novel concept, metaverse-based education has the capacity to enrich online learning…
Descriptors: Computer Simulation, Foreign Countries, Universities, Student Attitudes
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Salah Zogheib; Bashar Zogheib – Journal of Information Technology Education: Research, 2024
Aim/Purpose: The aim of this study is to explore the factors that influence higher education students' adoption of ChatGPT by incorporating constructs from the Technology Acceptance Model (TAM) and Self-Determination Theory (SDT) with trust, social influence, and personal innovativeness. Background: Even though the use of ChatGPT has become more…
Descriptors: College Students, Student Behavior, Natural Language Processing, Public Colleges
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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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Helmiatin; Anto Hidayat; Muhammad Ridwan Kahar – Cogent Education, 2024
Artificial Intelligence (AI) influences many activities and aspects of daily life including the higher education environment. AI in education has become vital for educators and researchers. There is a rising debate regarding the positive advantages and how higher education institutions adapt to changes in the learning perspectives of students.…
Descriptors: Foreign Countries, State Universities, Artificial Intelligence, Technology Uses in Education
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Mailizar, Mailizar; Burg, Damon; Maulina, Suci – Education and Information Technologies, 2021
This present study aims to investigate factors that impact behavioural intention of university students on e-learning use during the COVID-19 pandemic. An online questionnaire was utilised to gather data from 109 students enrolled in one of the universities in Indonesia. The Technology Acceptance Model (TAM) was the primary framework employed for…
Descriptors: College Students, Student Behavior, Intention, Electronic Learning
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Hoi, Vo Ngoc; Hang, Ho Le – Education and Information Technologies, 2021
Research and practice in the use of social networks for educational purposes have indicated the potential of Facebook as an online supplementary learning platform. Yet, empirical evidence regarding students' perception and acceptance of Facebook remains limited. This study adopts an exploratory sequential mixed methods design to understand factors…
Descriptors: Student Behavior, Intention, Social Media, Technology Uses in Education
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Yu-Yin Wang – Education and Information Technologies, 2025
Considering the proliferation of artificial intelligence (AI) technologies, it has become crucial to integrate AI-related knowledge and skills education into business management curricula. This is a significant concern for both academics and practitioners. However, in the context of university business management education, few studies have…
Descriptors: Individual Differences, Intention, Artificial Intelligence, Technology Uses in Education
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Gurung, Regan A. R.; Galardi, Noelle R. – Teaching of Psychology, 2022
Background: Mental health issues are increasing in higher education and finding ways for students to get help when needed is important. Objective: We tested if the tone of a short syllabus and the presence of a special statement addressing mental health would increase intentions to approach instructors for help. Method: We used a 2 (Tone: warm vs.…
Descriptors: Course Descriptions, Mental Health, Intention, Student Behavior
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Ehiobuche, Christian; Okolie, Ugochukwu Chinonso; Nwali, Anthony Chukwuma; Igwe, Paul Agu – Industry and Higher Education, 2022
This study examines how the constituents of industry involvement in higher education learning (IIHEL) -- namely curriculum restructuring, renewed pedagogical approaches and competencies, building linkages between higher education and industry, and career training and mentoring -- might impact student job creation intention. The study builds on…
Descriptors: School Business Relationship, Higher Education, Intention, Curriculum Development
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Zhou, Munyaradzi; Dzingirai, Canicio; Hove, Kudakwashe; Chitata, Tavengwa; Mugandani, Raymond – Education and Information Technologies, 2022
This study focuses on the uses of digital technology during teaching and learning. The preparedness, adoption, and use of virtual learning are inquired. Technology cannot enhance learning unless adopted, embraced, and effectively used. Three hundred and one (301) online questionnaires were administered to Higher and Tertiary institutions (HTEIs)…
Descriptors: Technology Uses in Education, Technology Integration, COVID-19, Pandemics
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Barringer, Alexandra; Papp, Lauren M. – Journal of American College Health, 2022
Objective: To identify academic factors pertaining to college students, calendar timing, and particular moments that are uniquely associated with elevated likelihood of prescription stimulant misuse (intentions and actual behavior) in daily life. Participants: Participants were 297 freshmen and sophomores at a large public university in the United…
Descriptors: College Students, Health Behavior, Risk, Stimulants
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Arkorful, Valentina; Barfi, Kwaku Anhwere; Baffour, Nyinaku Odoi – Cogent Education, 2022
The study examined how the perceived level of students' knowledge on Massive Open Online Courses (MOOCs) influence its use. The study utilizes the use of Innovation Diffusion Theory and Technology Acceptance Model to examine factors that influence students use of MOOCs within the Ghanaian university. The data was analyzed using the Statistical…
Descriptors: Foreign Countries, College Students, MOOCs, Student Behavior
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Clemente Rodríguez-Sabiote; Ana T. Valerio-Peña; Roberto A. Batista-Almonte; Álvaro M. Úbeda-Sánchez – International Review of Research in Open and Distributed Learning, 2024
The global pandemic caused by the SARS-CoV-2 virus brought about a true revolution in the predominant teaching-learning processes (i.e., face-to-face environment) that had been implemented up to that point. In this regard, virtual teaching-learning environments (VTLEs) have gained unprecedented significance. The main objectives of our research…
Descriptors: Electronic Learning, College Students, Online Courses, Models
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Abdulvahap Sönmez; Nilgün Özdamar – Open Praxis, 2024
The aim of this study is to examine the variables that influence the learners' intention of using online learning platforms and usage behavior continuity to evaluate relationships between variables with a model proposal and to determine the predictive power of the model. Accordingly, a sustained technology acceptance model (STAM) was developed to…
Descriptors: Intention, Electronic Learning, Open Education, Student Behavior
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