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Cömert, Zeynep; Samur, Yavuz – Interactive Learning Environments, 2023
Almost in every aspect of life, classification and categorization make it easier for humans to analyze complex structures and systems. In games, the classification of the players based on their demographics, behaviors, expectations and preferences of the game is important to increase players' motivation and satisfaction. Likewise, knowing the…
Descriptors: Classification, Student Characteristics, Models, Student Motivation
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Josey Chacko; Stephane E. Collignon; Christina L. Green; A. Graham Peace – Journal of Information Systems Education, 2024
Student cheating is a growing concern in all aspects of higher education, particularly in technical programs such as information systems. Technology is also enabling student cheating. This paper utilizes existing literature and various behavioral theories, including incentive theory, the theory of planned behavior, social reciprocity theory,…
Descriptors: Student Attitudes, Congruence (Psychology), Student Evaluation, Student Satisfaction
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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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Cortney DiRussa; Samantha Coyle-Eastwick; Britney Jeyanayagam – International Journal of Bullying Prevention, 2025
Bullying victimization is a school problem that warrants attention. While most work has focused on understanding bullies and victims, it is important that research explore how to promote bystander behavior during bullying as a mechanism to deter bullying in schools. Perceptions of the school climate may impact the likelihood of a student's…
Descriptors: Bullying, Intervention, Middle School Students, Prevention
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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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Deng, Xinjie; Yu, Zhonggen – Education and Information Technologies, 2023
As information technologies develop, social networking services have gradually gained attention from both researchers and practitioners. However, little is known about the technology adoption of social networking from the perspective of hedonic motivation. For this purpose, this study applied the hedonic motivation system adoption model (HMSAM) to…
Descriptors: Foreign Countries, College Students, Student Motivation, Models
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Georgia Heyward – Grantee Submission, 2024
The purpose of this study was to understand a school-based mentoring model that uses school staff as adult mentors. This study presents existing literature on school-based mentoring models along with a case study of one teen parent high school. The report also includes step-by-step guidance for implementation. At the case study school, all school…
Descriptors: Mentors, School Personnel, Staff Role, Adults
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Trinh Le Tan; Hoai Thu Thi Nguyen; Nguyen Chau Ngoc Khanh; Thanh Hien Thi Le; Uyen Truong Hoang Vo – Journal of Information Technology Education: Research, 2024
Aim/Purpose: The study aims to analyze the elements/factors that impact students' augmented reality/virtual reality (AR/VR) adoption through their behavior in Vietnamese higher education. In particular, the research demonstrates the influences of and relationships between multiple goals, learner experience, and barriers to adopting AR/VR.…
Descriptors: Computer Simulation, Technology Uses in Education, Student Behavior, Learning Experience
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Zhang, Qiannan; Lin, Sheng; Liu, Jinlan; Jin, Yuchen – Cogent Education, 2022
Understanding how students decide whether to participate during collaborative learning activities and what factors are their main concerns is important for efficient use of such activities in or out of the classroom. Based on evolutionary game theory, this study proposed a game model for collaborative learning that aimed to analyze the dynamic…
Descriptors: Cooperative Learning, Game Theory, Student Motivation, Student Behavior
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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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Karla Elizondo; Rafael Valenzuela; José V. Pestana; Nuria Codina – Psychology in the Schools, 2024
Procrastination is a delay in an intended course of action and, thus, a self-regulation failure hindering growth and well-being. Contrarily, self-regulation is a set of cognitive and metacognitive skills and strategies supporting goal-directed behavior. There is ongoing discussion regarding the extent to which (and the ways in which) promoting…
Descriptors: Self Management, College Students, Time Management, Student Motivation
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Sandy C. Li; Jackie W. W. Chan; Andrew K. F. Lui; Ming Lui; Raymond W. P. Wong – Educational Technology & Society, 2024
While prior research has shown higher mindfulness is associated with lower problematic smartphone use (PSU), the contexts of these studies were not related to education or student performance. As such, whether and how mindfulness can reduce the adverse effects of PSU on academic self-efficacy remains unknown. This study proposed a model for…
Descriptors: Self Efficacy, Academic Achievement, Handheld Devices, Telecommunications
Matt Peck – ProQuest LLC, 2024
This dissertation includes three individual articles that explore the relationship between witnessing bullying and defending behavior among students who are bystanders of bullying. Chapter One provides the rationale and purpose of this dissertation and an overview of the three articles that comprise it. Chapter Two employed a cross-sectional…
Descriptors: Bullying, Victims, Elementary School Students, Middle School Students
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C. Rashaad Shabab – Teaching Mathematics and Its Applications, 2024
This paper applies the well-known cognitive bias of loss aversion from behavioural economics to student decisions over engagement with mathematically demanding coursework. This bias is shown to predict behaviour that is consistent with mathematics anxiety in a dynamic model of student engagement. It is shown that these forces can imply…
Descriptors: Mathematics Anxiety, Mathematics Instruction, Difficulty Level, Student Behavior
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Imdadullah Hidayat-Ur-Rehman – Interactive Technology and Smart Education, 2024
Purpose: The integration of digital technologies into education has brought about a profound transformation, fundamentally reshaping the learning landscape. The purpose of this study is to underscore the importance of investigating the factors influencing students' engagement (SE) in this evolving digital era, particularly within formal digital…
Descriptors: Learner Engagement, Handheld Devices, Telecommunications, Personal Autonomy
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