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Chun-Mei Chou; Tsu-Chuan Shen; Tsu-Chi Shen – Education and Information Technologies, 2025
AR-supported instruction has been verified to improve students' problem-solving skills. This study investigated 1041 university students and developed an empirical research model that combined technology acceptance, self-regulation, and AR-supported learning effectiveness with the structural equation model (SEM). At the same time, content analysis…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Adoption (Ideas)
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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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Daniel Makini Getuno; Ezra Kiprono Maritim; Fred Nyabuti Keraro – International Journal of Education and Development using Information and Communication Technology, 2025
This study advances an e-learning adoption model by exploring the link between Performance Expectancy (PE) and Behavioural Intention (BI) to adopt e-learning among undergraduate students in Kenya's public universities. Using the Unified Theory of Acceptance and Use of Technology (UTAUT), data were collected from a sample of 388 respondents through…
Descriptors: Foreign Countries, Electronic Learning, Intention, Expectation
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XingZhong Cao; JianWu He; GuoMin Chen – SAGE Open, 2025
This research investigates the factors and configurations influencing the intention of primary and secondary school students to use online education. Employing the Technology Acceptance Model (TAM), the research framework incorporates considerations of external environmental factors, extending the model. Methodologically, Structural Equation…
Descriptors: Elementary School Students, Secondary School Students, Distance Education, Electronic Learning
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Jingyi Xie; Jiao Jiao – Educational Technology Research and Development, 2025
The formation of the digital divide is influenced by both objective factors, such as insufficient digital resources, and subjective factors, such as technology acceptance. This study employs a mixed-methods approach, utilizing the KANO model to analyze learners' demand attributes and the UTAUT model to examine subjective factors influencing…
Descriptors: Technology Uses in Education, Electronic Learning, Computer Attitudes, Developing Nations
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Senad Becirovic; Mersad Dervic; Boris Mattoš – SAGE Open, 2025
This research seeks to investigate the variables that might affect university-level students' internet habits, their e-learning self-efficacy and academic achievement in a technology-enhanced teaching and learning environment. To attain the aforementioned objective the Information System Success (ISS) and Technology Acceptance Model (TAM) were…
Descriptors: College Students, Behavior Patterns, Internet, Self Efficacy
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Sarah Alturkustani; Ashley Durfee; Olivia F. O'Leary; Siobhain M. O'Mahony; Conor O'Mahony; Mutahira Lone; Andreea Factor – Anatomical Sciences Education, 2025
Anatomy is fundamental to medical disciplines. However, its complexity can be challenging to learners, and traditional anatomy teaching may not be easily accessible. Virtual Reality has the potential to supplement anatomy education, but its effectiveness depends on students' willingness to accept it. This study aimed to measure students'…
Descriptors: Student Attitudes, Computer Simulation, Anatomy, Electronic Learning
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Maria Zirenko; Ina Alexandra Machura; Sabine Fabriz; Lukas Schulze-Vorberg; Holger Horz – Journal of Interactive Media in Education, 2025
The introduction of artificial intelligence (AI) in people's lives, including in educational settings, is happening rapidly and on a massive scale. However, AI represents a complicated and abstract concept for laypeople and is, in its entirety, still quite unfamiliar to many, including students in higher education. Metaphors may facilitate the…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Student Attitudes
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Shanshan Qi; Ning Chen – International Journal of Education and Development using Information and Communication Technology, 2025
The use of e-learning methods in higher education is rapidly increasing worldwide. However, the relationship between students' acceptance of e-learning methods and their psychological adaptation remains uncertain. Events such as a global pandemic have brought significant changes to higher education while accelerating the popularity of e-learning.…
Descriptors: Higher Education, College Students, Electronic Learning, Computer Uses in Education
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Vesna Svalina; Ana Ristivojevic – Open Learning, 2025
This paper presents research that aimed to determine how teachers employed in Croatian and Serbian music schools coped with distance learning during the COVID-19 pandemic. The random sample was represented by 589 teachers working in music schools, of which 369 were from Croatia and 220 were from Serbia. The results showed that teachers from both…
Descriptors: Foreign Countries, Music Education, Schools, Distance Education
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Adefuye Adetayo Linus; Gboyega Ayodeji Aladesusi – International Journal of Education and Development using Information and Communication Technology, 2025
This study examined the relationship between College of Education students' attitudes, behavioral intentions, and actual use of online learning resources in North Central Nigeria. A structured questionnaire was used to collect data, which was then analyzed quantitatively. The findings show no significant relationship between students' perceptions…
Descriptors: Foreign Countries, Schools of Education, College Students, Student Attitudes
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Norah Basheer Alotaibi – Education and Information Technologies, 2025
Information and Communication Technology (ICT) has profoundly impacted social, psychological, and physical well-being, presenting positive and negative effects. This study primarily explores the negative aspects, specifically technostress, and its influence on mobile learning (m-learning) among university students, a crucial area with limited…
Descriptors: Electronic Learning, Academic Achievement, Undergraduate Students, Foreign Countries
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Godfrey Chitsauko Muyambi; Mmankoko Ziphorah Ramorola – Education and Information Technologies, 2025
South African schools are increasingly integrating digital technology into their curricula to enhance educational outcomes. This study aims to evaluate educators' readiness to teach using digital media (DM) and the effectiveness of the e-learning policy in addressing disparities across schools. The hypothesis is that disparities in access to…
Descriptors: Foreign Countries, Secondary School Teachers, Teacher Attitudes, Computer Attitudes
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Ferhan Sahin; Hatice Guler; Mehmet Akif Hasiloglu – Turkish Online Journal of Distance Education, 2025
The empirical evidence regarding the acceptance and use of hybrid education and online instructional technologies in mandatory educational contexts remains limited. Specifically, studies addressing instructors' acceptance and usage of these technologies in the context of hybrid education are even scarcer. This study aims to fill this gap by…
Descriptors: College Faculty, Computer Attitudes, Teacher Attitudes, Teacher Surveys
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Linda J. Sax; Kaitlyn N. Stormes; Maxx F. Pereyra – ACM Transactions on Computing Education, 2025
To cultivate more computing talent (including more diverse talent), it is important to understand how college students experience their computing courses and if such experiences vary based on students' gender and racial/ethnic identities. In this paper, we focus on course modality to understand whether taking courses in-person, online, or a hybrid…
Descriptors: Computer Science Education, Electronic Learning, Online Courses, Delivery Systems