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Linlin Hu; Hao Wang; Yunfei Xin – Education and Information Technologies, 2025
Although Generative Artificial Intelligence (GAI) has demonstrated significant potential in education, there is a lack of research on pre-service teachers' behavioral intentions toward GAI. This study is based on the UTAUT2 model and, for the first time, introduces perceived risk as a key variable to systematically investigate the factors…
Descriptors: Foreign Countries, Preservice Teachers, Computer Attitudes, Technology Integration
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Gábor Pörzse; Zsófia Kenesei – Information and Learning Sciences, 2025
Purpose: Even though the pandemic years resulted in a significant increase in massive open online courses (MOOCs), there are still countries where penetration is low. The rejection of MOOCs can inhibit individual and societal advancements. The purpose of this study is to explore what is behind the resistance to MOOCs in these regions. Using the…
Descriptors: MOOCs, Educational Change, Resistance to Change, Innovation
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Fatih Pala – Open Journal for Educational Research, 2023
The aim of this study is to clarify the mediating role of attitudes towards digital technology in the relationship between digital citizenship in social studies class and motivation, and to provide an important perspective for educators. The research was conducted using a correlational survey model to reveal the relationships between digital…
Descriptors: Computer Attitudes, Technological Literacy, Student Motivation, Social Studies
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Artur Strzelecki – Education and Information Technologies, 2025
This research explored the attitudes of higher education students toward ChatGPT, an AI tool commonly employed for academic assistance. Our aim was to investigate students' acceptance and use of ChatGPT during their academic pursuits. We targeted two distinctive groups for our study: undergraduate and postgraduate students. Our findings show that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Undergraduate Students
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Liu, Qingtang; Ma, Jingjing; Yu, Shufan; Wang, Qiyun; Xu, Suxiao – Journal of Science Education and Technology, 2023
The microscopic composition of substances is a piece of essential but abstract knowledge in chemistry. Junior high school students may experience difficulty in mental representation when learning micro concepts, which leads to problems such as unsatisfactory academic performance and low learning motivation. Augmented reality (AR) is an optimal…
Descriptors: Chemistry, Science Instruction, Grade 9, Scientific Concepts
LaDonna Hutchins – ProQuest LLC, 2021
Student motivation and technology use are important considerations for higher education institutions. With increasing proportions of institutional funding being tied to student success and retention outcomes, gaining an awareness of how students tend to be motivated as well as their comfort and skill level with technology is critical for…
Descriptors: Generational Differences, College Students, Community Colleges, Universities
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Huang, Chung-Kai – Education and Information Technologies, 2023
The purpose of this study was to deploy digital technology in ways that would help mathematics teachers in a remote rural Taiwanese middle school construct a differentiated classroom aligned with students' needs. We attempted to develop seventh-grade mathematics course modules that could meet quality educational requirements and equal…
Descriptors: Foreign Countries, Educational Technology, Mathematics Instruction, Mathematics Teachers
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Shonfeld, Miri; Magen-Nagar, Noga – Technology, Knowledge and Learning, 2020
This research examined the contribution of an online collaborative program involving students from two different teacher training colleges. It measured the impact of the program on attitudes towards technology with regard to technological anxiety, self-confidence and technological liking among students. The advanced online collaborative program at…
Descriptors: Preservice Teachers, Cooperative Learning, Student Motivation, Student Satisfaction
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Stiller, Klaus D.; Bachmaier, Regine – Turkish Online Journal of Distance Education, 2019
One focus of distance learning research is to explore the extent that learner characteristics and skills determine learning outcomes and to elaborate predictive models of performance. Modern approaches can benefit from objective data, such as various time indices and frequencies of learner actions, provided by log systems catching online traces to…
Descriptors: Foreign Countries, Preservice Teachers, Preservice Teacher Education, Study Habits
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Yoshioka, Sérgio R. I.; Ishitani, Lucila – Informatics in Education, 2018
Computerized Adaptive Testing (CAT) is now widely used. However, inserting new items into the question bank of a CAT requires a great effort that makes impractical the wide application of CAT in classroom teaching. One solution would be to use the tacit knowledge of the teachers or experts for a pre-classification and calibrate during the…
Descriptors: Student Motivation, Adaptive Testing, Computer Assisted Testing, Item Response Theory
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Matyokurehwa, Kanos; Rudhumbu, Norman; Mlambo, Chiedza P. – International Journal of Education and Development using Information and Communication Technology, 2020
The study sought to examine the intention to use smartphones technology as learning tools (mobile-learning) in universities in Botswana, with particular reference to a selected university. Preliminary investigations have shown that despite the high density of mobile phones in Botswana, very few of these devices seem to be used for learning…
Descriptors: Business Administration Education, Undergraduate Students, Telecommunications, Handheld Devices
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Yilmaz, Ramazan; Yurdugül, Halil – Journal of Computing in Higher Education, 2018
The purpose of this study is to find out the level of cyberloafing behaviors of the students in information technologies (IT) classrooms; and to examine the relationship between cyberloafing behaviors and the psycho-social perceptions, attitudes and motivation for the courses and learning strategies. Correlational method was utilized; and…
Descriptors: Educational Technology, Technology Uses in Education, Student Behavior, Correlation
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Kennedy, Olivia – Research-publishing.net, 2018
Problematic smartphone usage has been widely recognized (e.g. Al-Barashidi, Bouazza, & Jabur, 2015; Chóliz, 2012). However, few researchers have investigated the relationship between students' feelings towards their smartphones and their acceptance of Mobile-Assisted Language Learning (MALL). This exploratory study of thirty-six Japanese…
Descriptors: Foreign Countries, High School Students, Student Attitudes, Computer Attitudes
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Ranjan, Prabhas – Journal of Learning for Development, 2020
Blended learning is a newly emerging area of research and practice in educational institutions. It is defined as a useful and reasonable combination of online and face-to-face learning and is acclaimed as a successful mode of teaching. The recent growth of online education, which is without classroom interaction, in a developing country like India…
Descriptors: Blended Learning, Electronic Learning, Instructional Effectiveness, Undergraduate Students
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Prima, EkaCahya; Putri, Aldia Ridwani; Rustaman, Nuryani – Journal of Science Learning, 2018
This research investigated the implementation of PhET simulation on students' understanding and motivation in learning the Solar system. The method used in this research was quasi-experimental with matching pretest-posttest group design. The research conducted in one of private Junior High School located at Padalarang, Indonesia with a number of…
Descriptors: Foreign Countries, Junior High School Students, Private Schools, Computer Simulation
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