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Khalida Parveen; Abdulelah A. Alghamdi; Nagwan Abdel Samee; Muhammad Shafiq – Journal of Educational Computing Research, 2025
As technology rapidly evolves, generative AI tools are increasingly integrated across various fields, including education. ChatGPT, a well-known language model developed by OpenAI, has gained significant importance in educational settings. This study employed a quantitative, cross-sectional survey design and employed the Unified Theory of…
Descriptors: Artificial Intelligence, Computer Uses in Education, College Students, Foreign Countries
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Bo Liang; Yali Xiong; Jin Yang; Anya Li; Yunqi Yang – SAGE Open, 2024
Entrepreneurial behavior has been substantially addressed in entrepreneurship literature, but the mechanisms by which social capital influences entrepreneurial behavior among college students remain unclear, especially the potential mediating and moderating interplay among them. Therefore, drawing on social capital theory and the…
Descriptors: Social Capital, Student Behavior, Entrepreneurship, College Students
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Tejas R. Shah; Poonam Chhaniwal – International Journal of Learning Technology, 2024
This study empirically tested a model examining the effect of four e-learning quality dimensions, i.e., information quality, system quality, service quality, and instructor quality as well as students' self-efficacy on e-learning behaviour--satisfaction and continued intentions that further affect students' academic performance. The research model…
Descriptors: Electronic Learning, Educational Quality, Self Efficacy, Student Behavior
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Phillip Dawson; Zi Yan; Anastasiya Lipnevich; Joanna Tai; David Boud; Paige Mahoney – Assessment & Evaluation in Higher Education, 2024
Feedback can be powerful, but its effects are dependent on what students do. There has been intensive research in recent years under the banner of 'feedback literacy' to understand how to help students make the most of feedback. Although there are instruments to measure feedback literacy, they largely measure perceptions and orientations rather…
Descriptors: Feedback (Response), Multiple Literacies, Measures (Individuals), Validity
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Zhou, Yizhuo; Zhao, Jin; Zhang, Jianjun – Interactive Learning Environments, 2023
On e-learning platforms, most e-learners didn't complete the course successfully. It means that reducing dropout is a critical problem for the sustainability of e-learning. This paper aims to establish a predictive model to describe e-learners' dropout behavior, which can help the commercial e-learning platforms to make appropriate interventions…
Descriptors: Electronic Learning, Prediction, Dropouts, Student Behavior
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Herwin, Herwin; Nurhayati, Riana; Lidyasari, Aprilia Tina; da Costa, Augusto – International Journal of Educational Methodology, 2023
Curiosity is one of the most important characters for elementary school students. However, the facts in the field show that the measurement model used by the teacher to identify the student's curiosity is not yet available in a standardized manner. This study aims to develop a model for measuring the curiosity of elementary school students using…
Descriptors: Personality Traits, Elementary School Students, Personality Measures, Evaluation Methods
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Suliman Zakaria Suliman Abdalla; Amal Khalfan Rashid AlSalti – Educational Process: International Journal, 2025
Background/purpose: This study examines the behavioral factors influencing the adoption of AI-powered generative technologies in higher education and their impact on students' cognitive engagement--a crucial element of sustainable, inclusive, and high-quality learning, as envisioned by UNESCO's Sustainable Development Goal 4 (SDG4). The study…
Descriptors: Artificial Intelligence, Cognitive Development, College Students, Computer Uses in Education
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Maciej Koscielniak; Jolanta Enko; Agata Gasiorowska – Journal of Academic Ethics, 2024
Examination dishonesty is a global problem that became particularly critical after the outbreak of the COVID-19 pandemic and the shift to remote learning. Academic research has often examined this phenomenon as only one aspect of a broader concept of academic dishonesty and as a one-dimensional construct. This article builds on existing knowledge…
Descriptors: Foreign Countries, Students, Ethics, Cheating
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Ahmet Salih Simsek; Gülüzar Sule Tepetas Cengiz; Mazhar Bal – Education and Information Technologies, 2025
Generative AI technologies are rapidly transforming educational practices, creating both opportunities and challenges for teacher-preparation programs. As these advanced tools become increasingly prevalent in classrooms, understanding the factors that influence pre-service teachers' acceptance and adoption of such technologies has become…
Descriptors: Artificial Intelligence, Learning Motivation, Technology Uses in Education, Preservice Teachers
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Wang, Kai – International Review of Research in Open and Distributed Learning, 2023
This study incorporated the technology acceptance model (TAM) and theory of planned behavior (TPB) to interpret students' perception of MOOCs. This study was based on a survey questionnaire; all 525 respondents were undergraduates in China. A five-point Likert scale was used to collect data in order to measure relationships among the constructs of…
Descriptors: Foreign Countries, Undergraduate Students, MOOCs, Intention
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Supit Boonlab; Pattama Pasitpakakul – Journal of Social Studies Education Research, 2023
Digital society presents a significant challenge to human life skills, particularly for Generation Z, which is pursuing higher education and work. Thus, undergraduate programs should enhance curricula and teaching-learning models to foster digital citizenship, supporting students in an ever-evolving digital world. The purpose of this research is…
Descriptors: General Education, Models, Internet, Citizen Participation
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Lopes, João M.; Laurett, Rozélia; Ferreira, João J.; Silveira, Paulo; Oliveira, José; Farinha, Luís – Industry and Higher Education, 2023
This study analyzes the predictive factors influencing the entrepreneurial intentions of students at higher education institutions (HEIs) in a peripheral European region. The study includes a sample of 594 students and uses structural equation models for data analysis. The results show that the attitude to behavior and perceived behavioral control…
Descriptors: Foreign Countries, College Students, Entrepreneurship, Intention
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Kuadey, Noble Arden; Mahama, Francois; Ankora, Carlos; Bensah, Lily; Maale, Gerald Tietaa; Agbesi, Victor Kwaku; Kuadey, Anthony Mawuena; Adjei, Laurene – Interactive Technology and Smart Education, 2023
Purpose: This study aims to investigate factors that could predict the continued usage of e-learning systems, such as the learning management systems (LMS) at a Technical University in Ghana using machine learning algorithms. Design/methodology/approach: The proposed model for this study adopted a unified theory of acceptance and use of technology…
Descriptors: Foreign Countries, College Students, Learning Management Systems, Student Behavior
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Zhou Limin; Hu Chunguang; Huang Jie – Psychology in the Schools, 2024
Previous studies have suggested that bullying may be contagious in adolescents. The present study examined whether ego depletion mediated the association between peer bullying and participant bullying and whether the mediating process was moderated by participant trait self-control. A sample of 2217 Chinese high school students (16.92 ± 0.94…
Descriptors: Bullying, Adolescents, Models, High School Students
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Mona Tabatabaee-Yazdi – Interactive Learning Environments, 2024
In the era of COVID-19 and right after the announcement of it as a pandemic and threat to humanity by the World Health Organization, most educational activities were globally forced to shut down their traditional teaching/learning activities. This is one of the biggest and most vital changes of educational settings which have led to migration to…
Descriptors: English (Second Language), Second Language Instruction, COVID-19, Pandemics
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