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A. Devisakti; M. I. Rohayati – TechTrends: Linking Research and Practice to Improve Learning, 2025
Students from diverse backgrounds often face challenges that are not in parallel with the evolution of equitable assessments in higher education. Thus, this study employed the UTAUT model with the inclusion of additional constructs, namely self-efficacy and technology awareness, to examine the intention to use online assessments among diverse…
Descriptors: Computer Assisted Testing, Student Diversity, Self Efficacy, Technological Literacy
Sunkanmi Afeez Yekinni; Theresa Chinyere Ogbuanya – Discover Education, 2025
The realities of accidents free situation in academic workshops and classrooms are anchored on strict adherence to laboratory safety rules and regulations, and normal classroom behaviour. The reality is less abided by Electrical/Electronic Technology students in classroom and workshops in the universities, causing accidents that lead to minor and…
Descriptors: Foreign Countries, Undergraduate Students, Technology Education, Electronics
Mehedi Hasan Anik; Shahriar Nafees Chowdhury Raaz; Nushat Khan – International Journal of Artificial Intelligence in Education, 2025
Artificial intelligence (AI) technologies, especially language models like ChatGPT, are revolutionizing academic writing by generating human-like text and supporting thesis development. While some research explores ChatGPT in academic writing, none compares the experiences of young researchers using AI for the first time versus non-users in their…
Descriptors: Artificial Intelligence, Theses, Research, Science Education
Smriti Mathur; Alok Tewari; Sushant Vishnoi; Vaishali Agarwal – Journal of International Education in Business, 2025
Purpose: The online learning environment is a function of dynamic market forces constantly restructuring the e-learning landscape's complete ecosystemcape. This study aims to propose an e-learning framework by integrating the Technology Acceptance Model (TAM) and Theory of Planned Behaviour (TPB) to predict students' Online Learning Readiness and…
Descriptors: Electronic Learning, Student Behavior, Developing Nations, Usability
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
Anjee Gorkhali; Asim Shrestha – International Journal of Information and Learning Technology, 2025
Purpose: Educators are raising ethical concerns over the use of ChatGPT in schools. They have implemented various strategies to minimize its use, particularly by labeling ChatGPT-produced work as plagiarism. However, the use of ChatGPT among students is still on the rise. Our study aims to find the behavioral motivation behind students' increased…
Descriptors: Self Concept, Prevention, Student Behavior, Artificial Intelligence
Vu Thanh Tam Nguyen; Hsiu-Ling Chen; Van Tran Kieu Nguyen – Journal of Computer Assisted Learning, 2025
Background: Social-emotional practices are crucial in today's educational landscape, fostering students' emotional intelligence, resilience and interpersonal skills. Integrating these practices into the gamified flipped classroom approach creates an enriched learning environment. However, there exists a notable research gap regarding the specific…
Descriptors: Social Emotional Learning, Gamification, Flipped Classroom, Emotional Response
Tamás Keller; Hubert János Kiss – Journal of Early Adolescence, 2025
A growing body of experimental literature investigates how student-level background characteristics are associated with dishonest behavior in early adolescence. However, results from prior studies are mixed. To revisit earlier findings, we conducted a comprehensive literature review and executed two consecutive, large-scale, incentivized surveys…
Descriptors: Foreign Countries, Literature Reviews, Student Surveys, Elementary School Students
Sung-eun Baek; Christine Myung-hee Ahn – Journal of Psychoeducational Assessment, 2025
The purpose of this study was to evaluate the reliability and validity of the Korean Behavior Assessment System for Children 3rd Edition Teacher Rating Scales--Child Form (K·BASC-3 TRS-C). We used the generalized partial credit model based on item response theory (IRT) to examine the internal validity of the scale's items and the latent trait in a…
Descriptors: Reliability, Teacher Attitudes, Elementary Secondary Education, Asians
Kathleen M. Randolph; Annemarie L. Horn; Jennifer A. Sears; Brittany L. Hott; Tammy Willis – Journal of Special Education Technology, 2025
Rural schools face unique challenges providing high-quality professional development opportunities due to barriers such as geographic isolation and limited resources. This article provides information on three coaching models, eCoaching, iCoaching, and teacher dyad coaching. Each model has the potential to leverage technology to ameliorate…
Descriptors: Coaching (Performance), Rural Schools, Models, Educational Technology
Feng Zhang; Gege Li; Heng Luo – Educational Technology & Society, 2025
With the development of virtual reality technology, 3D multi-user virtual environments (MUVEs) have attracted increasing research attention and are thought to bring many learning benefits in higher education. However, the widespread and sustained application of MUVEs in higher education lies in learners' intention to use them, but the mechanism…
Descriptors: Student Attitudes, Intention, College Students, Educational Technology
Peer reviewedNatalie Brezack; Melissa Lee; Kelly Collins; Wynnie Chan; Mingyu Feng – Grantee Submission, 2025
Students' effort and emotions are important contributors to math learning. In a recent study evaluating the efficacy of MathSpring, a scalable web-based intelligent tutoring system that provides students with personalized math problems and affective support, system usage data were collected for 804 U.S. 10-12-year-olds. To understand the patterns…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Behavior Patterns, Student Behavior
Tingting Gao; Yan Chen; Qian Gai; Yingying Su; Xiangfei Meng – Journal of Adolescence, 2025
Introduction: Prior research has documented the associations among phubbing, depression, and anxiety, while the cross-sectional design failed to clarify the temporal directionality of the relationships between these mental disorders and behavioral issues. To bridge this gap, the present study utilizing longitudinal data aimed to articulate the…
Descriptors: Middle School Students, High School Students, Depression (Psychology), Anxiety
Vasiliki Vlacha; Persefoni Perivolaropoulou – Journal of American College Health, 2025
Introduction: The COVID-19 pandemic had implications on students' life. This study aims to identify positive and negative effects of COVID-19 pandemic on students' life habits with the final goal to promote their general wellbeing. Methods: An online questionnaire was administered to Greek undergraduate and graduate college students during the…
Descriptors: Foreign Countries, COVID-19, Pandemics, Eating Habits
Nil Horoz; Nienke van Atteveldt; Pol A. C. van Lier; Tanja A. J. Houweling; Joost Oude Groeniger; Frank J. van Lenthe; Hans M. Koot; J. Marieke Buil – International Journal of Behavioral Development, 2025
This longitudinal study investigated whether classroom norm salience toward aggression moderated the association between parental education and children's overt aggressive behavior development from third to sixth grade of elementary school. Children (N = 1,205, 51% girls) from 46 Dutch elementary schools were annually followed from third to sixth…
Descriptors: Foreign Countries, Aggression, Parent Background, Educational Attainment

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