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Showing 1 to 15 of 28 results Save | Export
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Jiwon Chung; Hun-yeong Kwon – Education and Information Technologies, 2025
OpenAI's generative pre-trained transformer (ChatGPT) is rapidly transforming fields such as education and becoming an integral part of our daily lives. However, its rise has sparked intense privacy debates, raising concerns about the storage of personal information and attracting global regulatory scrutiny. ChatGPT is gaining popularity among…
Descriptors: Artificial Intelligence, Privacy, Technology Uses in Education, Undergraduate Students
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Yao Wang; Yiting Zhao; Xin Tian; Jiachen Yang; Shijian Luo – International Journal of Technology and Design Education, 2025
This study aims to examine design students' intention towards using Artificial Intelligence-aided Design Tools (AIDTs). An extended model is developed by combining the affective-cognitive consistency theory with the Unified Theory of Acceptance and Use of Technology (UTAUT). Data are collected through online comments from Chinese streaming media…
Descriptors: Foreign Countries, Design, Student Attitudes, Intention
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Rodrigues, Margarida; Silva, Rui; Franco, Mário – Higher Education Quarterly, 2023
Entrepreneurial Intention (EI) is one of the dimensions most studied and validated scientifically in the literature associated with entrepreneurship. This study intends to go one step further in developing the literature by presenting little studied dimensions as direct antecedents of EI. Its aim is to analyse the influence of the dimensions of…
Descriptors: College Students, Entrepreneurship, Intention, Religious Factors
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Imran Mazid; Adrienne Wallace; Jin Chen; Sera Choi – Journalism and Mass Communication Educator, 2025
Artificial Intelligence (AI) can transform all sectors and daily life, but its integration into Public Relations (PR) education and adoption by PR professors is underexplored. This study examines these factors using the Technology Acceptance Model (TAM), focusing on seven variables: social influence, perceived AI knowledge, trust, emotion, AI…
Descriptors: Artificial Intelligence, Computer Uses in Education, Public Relations, Media Education
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Hennessy, Michael; Bleakley, Amy; Ellithorpe, Morgan E.; Maloney, Erin; Jordan, Amy B.; Stevens, Robin – Health Education & Behavior, 2023
American adolescents consume more sugar-sweetened beverages (SSBs) than any other age group. Sports and energy drinks consumption among adolescents is higher than other SSBs. For sports drinks, there is uncertainty about their "healthiness" and also beliefs that these drinks may provide health benefits such as hydration, enhanced…
Descriptors: Adolescents, Eating Habits, Health Behavior, Knowledge Level
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Michelle L. Weber Rawlins; Cailee E. Welch Bacon; Phillip Tomporowski; Jennifer L. Gay; Laura Bierema; Julianne D. Schmidt – Journal of American College Health, 2024
Objective: Determine how a) masculinity, b) optimism bias, and c) perceived pressure from stakeholders predict concussion reporting intentions and behavior. Participants: Collegiate student-athletes (n = 369). Methods: Student-athletes completed surveys of Conformity to Masculine Norms Inventory-46 (nine sections), optimism bias (optimist,…
Descriptors: Masculinity, Psychological Patterns, Stress Variables, Stakeholders
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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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Si Xu; Pengfei Chen; Ge Zhang – SAGE Open, 2024
Artificial Intelligence (AI) tools are having a significant impact on the field of education, particularly when used by educators. This study aims to explore the acceptance of AI tools among university-level educators. Researchers adapted the UTAUT2 (Unified Theory of Acceptance and Use of Technology) model to the Chinese educational context and…
Descriptors: Foreign Countries, College Faculty, Teacher Attitudes, Intention
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Roslan, Rosfuzah; Mohd Ayub, Ahmad Fauzi; Ghazali, Norliza; Zulkifli, Nurul Nadwa; Md Latip, Siti Noor Haslina; Abu Hanifah, Siti Syuhada – Journal of Information Technology Education: Research, 2023
Aim/Purpose: The main purpose of this study is to identify the factors affecting the continuance use intention of gamified m-learning applications by Higher Education Institution (HEI) learners in Malaysia. Background: Mobile learning (m-learning) has been a popular choice among learners in HEIs due to its convenient 'on-the-go' concept. On the…
Descriptors: Intention, College Students, Gamification, Educational Technology
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Nguyen, Van Ky Long; Le, Thi My Hanh; Duong, Thi Ngoc Mai; Nguyen, Tien Son; Le, Thi Thu Hien; Nguyen, Thi Thanh Huong – Journal of Information Technology Education: Research, 2022
Aim/Purpose: The purpose of this study is to assess the factors that have significant influences on students' adoption of e-learning systems and to what extent these factors affect them. Background: E-learning has become an essential tool and makes it an inevitable option for education in the future. E-learning has received considerable attention…
Descriptors: Educational Technology, Electronic Learning, COVID-19, Pandemics
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Ashrafi, Amir; Zareravasan, Ahad; Rabiee Savoji, Sogol; Amani, Masoumeh – Interactive Learning Environments, 2022
In the last decades, universities and higher education institutes have widely employed a learning management system (LMS) to monitor and manage electronic learning and teaching. Contrary to the significant role of LMS in educational settings, most research has focused on initial acceptance, and few attempts have been made to investigate factors…
Descriptors: College Students, Intention, Learning Management Systems, Educational Technology
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Shukla, Sadhna – Education and Information Technologies, 2021
The present study aims to interpret management student's motivation to adopt m-learning and assesses the determinates impacting the behavioral intent of m-learning adoption. A comprehensive research archetype is proposed by integrating two prominent theoretical models, namely UTAUT and UGT. The research model is tested using multi-analytic…
Descriptors: Electronic Learning, College Students, Business Administration Education, Administrator Education
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Ekornes, Stine – Higher Education Research and Development, 2022
This study examined the impact of psychosocial environment and academic emotions on higher education students' intentions to leave their studies. The data were derived from a survey among students at study programmes for teacher education, early childhood education, and social science education at one higher education institution in Norway (n =…
Descriptors: College Students, Intention, Dropout Attitudes, Withdrawal (Education)
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Olasina, Gbolahan – Interactive Learning Environments, 2019
It is significant to highlight that educational technologies cannot improve academic performance if they are not widely accepted and used. Unfortunately, the decision not to accept e-learning continues to be a fundamental issue. The current research provided an alternative lens to view a decision to accept and use technology in a developing…
Descriptors: Electronic Learning, Decision Making, Adoption (Ideas), Undergraduate Students
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Hung, Wei-Hsi; Hsieh, Pei-Hsuan; Huang, Yao-De – International Review of Research in Open and Distributed Learning, 2018
The use of e-textbooks has become popular in certain countries, yet there is debate in the literature about whether it is advantageous to adopt e-textbooks and if they positively influence students' learning and performance. Prior studies on the acceptance of e-textbooks were mainly based on one theoretical perspective, and did not differentiate…
Descriptors: Electronic Publishing, Textbooks, College Students, Student Attitudes
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