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Norazha Paiman; Muhammad Ashraf Fauzi – Journal of Applied Research in Higher Education, 2024
Purpose: This research aims to build on the pre-existing corpus of literature through the integration of the technology acceptance model (TAM) and usage habit to more accurately capture the determinants associated with social media addiction among university students. This study seeks to delineate how usage habit and TAM may be used as predictors…
Descriptors: Social Media, Addictive Behavior, Technology, Student Attitudes
Afef Saihi; Mohamed Ben-Daya; Moncer Hariga – Education and Information Technologies, 2025
The integration of AI-chatbots into higher education offers the potential to enhance learning practices. This research aims to explore the factors influencing AI-chatbots adoption within higher education, with a focus on the moderating roles of technological proficiency and academic discipline. Utilizing a survey-based approach and advanced…
Descriptors: Technology Uses in Education, Artificial Intelligence, Higher Education, Technology Integration
Ana M. Gallardo-Guerrero; María J. Maciá-Andreu; Noelia González-Gálvez; Raquel Vaquero-Cristóbal; Marta García-Tascón – Education and Information Technologies, 2025
The main objectives of this research were to analyze the impact of the use of augmented reality (AR) for analyzing the safety of sport equipment, on the motivational climate, behavior, and intention to use, and to validate a theoretical model for predicting continuance intention to use AR among students. The sample consisted of 254 university…
Descriptors: Simulated Environment, Safety, Athletics, Equipment
Sanghoon Park; Heoncheol Yun – Educational Technology Research and Development, 2024
Although numerous studies have demonstrated the potential benefits of augmented reality (AR) in education, the influence of education students' learning experiences on their AR technology acceptance in the classroom has yet to be examined thoroughly. In this empirical study, we explored the affective experiences (i.e., positive emotions, negative…
Descriptors: Computer Simulation, Educational Technology, Student Experience, Emotional Response
Ahmet Murat Uzun; Erhan Üna; Selcan Kilis – Educational Process: International Journal, 2024
Background/purpose: Widespread adoption of e-learning was triggered worldwide during the COVID-19 pandemic and modern higher education institutions dedicated significant resources to the use of diverse e-learning systems. However, to maximize the benefits of these investments, it is crucial that the degree to which end-users accept and continue…
Descriptors: Electronic Learning, COVID-19, Pandemics, Learning Management Systems
Piret Luik; Merle Taimalu; Karin Naruskov; Karmen Kalk – Education and Information Technologies, 2024
Teacher training mainly involves acquisition of knowledge and skills. For the 21st-century classroom, student teachers must acquire complex knowledge of pedagogy, subject and technology. Beliefs influence decisions on using what is learned. The present study aims to find a model describing how Technological Pedagogical Content Knowledge (TPACK)…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Student Teachers, Student Teacher Attitudes
Nancy Carmona; Edmund Seto; Lisa Hayward; Shirlee Tan; Sinang Lee; Brandon Kemperman; Jenna Truong; Elena Austin – Journal of School Health, 2024
Background: The US government allocated over $2.5 billion in "Elementary and Secondary School Emergency Relief (ESSER)" funds to Washington State for COVID-19 response and ventilation improvements. Despite available funding, gaps persist in supporting schools to successfully use portable air cleaners (PACs). We evaluated PAC needs within…
Descriptors: Elementary Schools, Secondary Schools, COVID-19, Pandemics
Zachry William Warren – ProQuest LLC, 2024
The purpose of this research is to better understand how perceived usefulness (PU) and perceived ease of use (PEU) predict how frequently science teachers use digital learning tools in the physical classroom. The research was based on the widely used Technology Acceptance Model (TAM), originally developed by Davis (1989). The research is…
Descriptors: Educational Technology, Technology Uses in Education, Usability, Value Judgment
Elissa Dwi Lestari; Riatun Riatun – Cogent Education, 2024
Indonesian higher education rarely employed e-learning until COVID-19. Many students tried online learning for the first time during the pandemic. After the pandemic ended in 2022, universities switched to blended learning, but student adaptation, system integration, and learning effectiveness remain challenges. This study examines these…
Descriptors: Foreign Countries, Higher Education, Electronic Learning, Blended Learning
Adeneye Olarewaju A. Awofala; Mike Boni Bazza; Omolabake T. Ojo; Adenike J. Oladipo; Oladiran S. Olabiyi; Abayomi A. Arigbabu – Digital Education Review, 2025
Recent progress in artificial intelligence (AI) has aroused interest in the growth and development of educational AI tools (EAITs). Teachers' adoption of EAITs in classrooms has helped in shaping instructional decisions taken by them in an attempt to promote intelligently and actively students' meaningful learning of contents areas. Nevertheless,…
Descriptors: Foreign Countries, Science Teachers, Technology Education, Mathematics Teachers
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
Shuxia Yang; Rui Wang; Bing Mei – Interactive Learning Environments, 2024
Given the paucity of research on mobile-assisted language learning (MALL) in secondary schools in China, this retrospective case study explored the psychological processes underlying the non-voluntary MALL experiences of Chinese secondary school students during a lockdown to contain the spread of COVID-19. Drawing on prior technology acceptance…
Descriptors: Foreign Countries, Student Attitudes, Telecommunications, Handheld Devices
Amal Alrayes; Tara Fryad Henari; Dalal Abdulkarim Ahmed – Electronic Journal of e-Learning, 2024
This paper provides a thorough examination of the role of Artificial Intelligence (AI), particularly ChatGPT and other AI language models, in the realm of education. Drawing insights from existing literature and a novel study on educator perspectives, the paper delves into the potential advantages, ethical dilemmas, and factors shaping educators'…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Intention
Guangxiang Liu; Chaojun Ma – Innovation in Language Learning and Teaching, 2024
Purpose: This study aims to generate empirical insights into the extent to which ChatGPT, a highly capable AI chatbot building on OpenAI's GPT family, is perceived and leveraged by EFL learners beyond the classroom. Design/Methodology: This quantitative cross-sectional investigation draws upon the technology acceptance model (TAM) as developed by…
Descriptors: English (Second Language), Second Language Learning, Artificial Intelligence, Man Machine Systems
Joseph Lobo; Kirth Teodosio; Kristia Estilo; Michael Achas; Johnlenon Aliser; Christie Lynne Codod – Journal of Educators Online, 2025
This predictive-causal study determined the factors affecting students' Behavioral Intention (BI) and Actual Use (AU) of Canvas Learning Management System (LMS) and Zoom for both synchronous and asynchronous classes in a private higher education institution in the Philippines adopting Technology Acceptance Mode (TAM). After surveying 496 students,…
Descriptors: Learning Management Systems, Videoconferencing, Physical Activities, Health Promotion
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