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Karahan, Muhammed Baran; Kaya, Oktay – African Educational Research Journal, 2023
This research was conducted to determine the attitudes of university students with different socio-economic structures towards information and communication technologies, using information and communication technologies (ICT), which are increasingly used in our daily life, by using a descriptive survey model and survey method. Günbatar (2014) and…
Descriptors: Student Attitudes, College Students, Socioeconomic Status, Physical Education
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Gareth W. Young; Neill O'Dwyer; Nicholas Johnson; Aljosa Smolic – Arts and Humanities in Higher Education: An International Journal of Theory, Research and Practice, 2025
Online virtual worlds have increasingly become meeting places for students and teachers to discuss and collaborate on diverse academic subjects and practices. Furthermore, in response to the recent global COVID-19 pandemic, there has also been a heightened drive to provide online educational facilities that harness immersive virtual environments…
Descriptors: Computer Simulation, Computer Uses in Education, Film Study, Drama Education
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Feng Guang; Zong Xueliang – Education and Information Technologies, 2025
Traditional higher education in folk dance faces challenges such as limited resources and uneven teaching effectiveness. The introduction of Immersive Virtual Reality (IVR) technology offers potential solutions to these issues; however, there is a lack of research to substantiate its efficacy. Therefore, this study aims to explore the application…
Descriptors: Computer Simulation, Computer Uses in Education, Folk Culture, Dance Education
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Shiya Chen; Lu Huang; Rustam Shadiev; Peiying Hu – Education and Information Technologies, 2025
The introduction of online homework has revolutionized traditional assignment formats, providing students with access to abundant learning resources, a convenient platform for completing assignments, real-time interactive learning opportunities, and accurate feedback. However, there is a paucity of research exploring the perspectives of elementary…
Descriptors: Elementary School Students, Student Attitudes, Intention, Electronic Learning
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Nedim Slijepcevic; Ali Yaylali – Journal of Teaching and Learning, 2025
This mixed-methods study investigated the effectiveness of Generative AI (GenAI) powered intelligent tutoring systems (ITS) in undergraduate physics education, specifically comparing learning outcomes between students using Khanmigo (Khan Academy's AI tutor) and the Google search engine. The study involved 69 undergraduate students divided into…
Descriptors: Undergraduate Students, Science Education, Physics, Scientific Concepts
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Hamzah, Almed; Sosnovsky, Sergey – International Journal of Mobile and Blended Learning, 2023
The growing ubiquity, rich functionality, and relative affordability of mobile devices have been seen as opportune factors for implementing mobile learning solutions that can be used in a variety of contexts and domains. Plenty of successful mobile educational applications have been built. This paper describes an attempt to build on this success.…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Undergraduate Students
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Baji, Fatima; Azadeh, Fereydoun; Sabaghinejad, Zivar; Zalpour, Amir – Journal of Global Education and Research, 2022
E-learning can address some of the unmet needs of learners and educational communities; however, not all learners and educators accept e-learning as a delivery modality. This research endeavored to study the factors which affect e-learning acceptance among Iranian post-graduate students using the Davis Technology Acceptance Model (TAM) and to…
Descriptors: Foreign Countries, Electronic Learning, Educational Technology, Graduate Students
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Renjie Song; Yaru Zheng – SAGE Open, 2024
Learning Management Systems (LMS) are crucial in modern educational technology, enhancing education through personalized support, efficient resource management, and data-driven decision-making. LMS holds a pivotal position in contemporary higher education. This research explores undergraduate students' continued learning intentions, grounded in…
Descriptors: Intention, Learning Management Systems, Undergraduate Students, Educational Technology
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Sankaranarayanan Paleeri; Sneha Parambath – Journal of Educational Technology, 2025
This study explored the perceptions of learners, teachers, and administrators on the role of artificial intelligence (AI) in the higher secondary school education scenario of Kerala. The study was a comprehensive survey, and sample groups included 360 students, 60 teachers, and 5 administrators. Both qualitative methods and quantitative techniques…
Descriptors: Artificial Intelligence, Computer Uses in Education, Student Attitudes, Teacher Attitudes
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Koç, Feden – International Journal of Technology in Education, 2023
In this study, it is aimed to determine the effect of video game playing time on academic performance of students who play video games and take computerized accounting courses at Usak University and attend computerized accounting courses. The data obtained with the questionnaire applied to a total of seventy students within the scope of the study…
Descriptors: Video Games, Accounting, College Students, Educational Technology
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Lu, Kaili; Pang, Feng; Shadiev, Rustam – Education and Information Technologies, 2023
Asynchronous online learning has gained great popularity in higher education, especially due to the recent COVID-19 pandemic. However, few studies have investigated how to maintain students' continuous usage intention of asynchronous online courses in the context of higher education. This study incorporated four key factors (intrinsic motivation,…
Descriptors: Asynchronous Communication, Educational Technology, Technology Uses in Education, College Students
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Susanne Walan – International Journal of Technology and Design Education, 2025
Since the end of 2022, global discussions on Artificial Intelligence (AI) have surged, influencing diverse societal groups, such as teachers, students and policymakers. This case study focuses on Swedish primary school students aged 11-12. The aim is to examine their cognitive and affective perceptions of AI and their current usage. Data,…
Descriptors: Foreign Countries, Elementary School Students, Artificial Intelligence, Student Attitudes
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Bircan Eyüp; Selvanur Kayhan – International Journal of Education and Literacy Studies, 2023
The present study aims to determine the anxiety and attitudes of pre-service Turkish language teachers towards artificial intelligence and to examine the relationship between the two. The sample group of the study, which was based on a correlational survey design, consisted of 232 pre-service Turkish language teachers studying at 14 different…
Descriptors: Foreign Countries, Preservice Teachers, Language Teachers, Student Attitudes
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Violeta Rosanda; Ivan Bratko; Mateja Gacnik; Vid Podpecan; Andreja Istenic – British Journal of Educational Technology, 2025
Our research aims to examine the effectiveness of introducing social robots as educational technology within authentic classroom activities without modifying them to be designed for a robot. We chose as test subject the fifth-grade curricular topic "The role of technology and its impact on society", meeting the critical stage of moral…
Descriptors: Elementary School Curriculum, Elementary School Students, Elementary School Teachers, Artificial Intelligence
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Yalman, Murat; Basaran, Bulent – Education and Information Technologies, 2021
Transfer of knowledge to future generations has always been performed by people since existence of early humans. Today, with the developments in technology, education is presented in several ways and through a wide variety of tools such as two- or three-dimensional learning contents, animations, video conference lessons and interactive…
Descriptors: Preservice Teachers, Educational Technology, Handheld Devices, Student Attitudes
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