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Ibrahim Turan; Polat Sendurur – Journal of Academic Ethics, 2026
This study examines undergraduate students' ethical tendencies concerning their field of science/study, perceptions of religiosity, and use of social media. A cross-sectional survey design was employed, with the Ethical Tendencies Scale as the primary data collection tool. Data were gathered from 831 students through convenience sampling. Ethical…
Descriptors: Undergraduate Students, Ethics, Student Attitudes, Social Media
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Qiuyue Li; Sihan Jiang; Mingyu Gong; Liling Zhu; Tianqi Lan; Yiming Chen – Journal of School Health, 2026
Background: Childhood myopia is a global health concern, with high prevalence in East Asia. Risky eye behaviors fuel myopia, but how combined parental and teacher supervision affects these behaviors remains poorly understood. Methods: This cross-sectional study surveyed 5193 participants in 8 schools. Indicator variables of parent-teacher…
Descriptors: Foreign Countries, Visual Impairments, Prevention, Student Behavior
Natasha Bourgoin – ProQuest LLC, 2026
University students with increased rates of reported perfectionism, anxiety, and depression, are vulnerable to non-suicidal self-injury (NSSI). However, not all students with psychological distress engage in NSSI, suggesting protective factors may help to mitigate this risk. The present study examined the relation between perfectionism and NSSI,…
Descriptors: College Students, Anxiety, Self Destructive Behavior, Psychopathology
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Mengyi Wei; Pamela Kulinna; Betty Truong; Adela Grando; Allison Poulos – Psychology in the Schools, 2026
Unstructured playtime at school, such as recess and afterschool activities, is essential for children's social development but often becomes a setting for bullying. Despite effective bystander programs, research on students' willingness to intervene in these contexts remains limited. This cross-sectional study used mixed methods to investigate the…
Descriptors: Bullying, Student Behavior, Intervention, After School Programs
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Xingchao Wang; Yaojing Ma; Pengcheng Wang – Psychology in the Schools, 2026
Children's bullying perpetration has become a serious and urgent problem. Based on the stress coping model, the current study attempted to test whether perceived economic stress was significantly related to children's bullying perpetration, and whether perceived discrimination mediated this association and teacher acceptance moderated this…
Descriptors: Bullying, Stress Variables, Child Behavior, Social Discrimination
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Alexandria J. Tomkunas; Mackenzie N. Wink; Maria D. LaRusso – Psychology in the Schools, 2026
Problem behavior is on the rise in schools, resulting in worsened outcomes for students and teachers. Limited research has examined administrators' causal attributions of problem behavior or alignment between teacher and administrator perceptions about student behavior; this is important given literature indicating that teacher and administrator…
Descriptors: Student Behavior, Behavior Problems, Suburban Schools, Public Schools
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Violeta Morari; D. Grimes; D. Hawe – Journal of Academic Ethics, 2026
The development of Generative Artificial Intelligence (GenAI) tools like ChatGPT have transformed the academic landscape, offering learning opportunities while raising significant challenges regarding academic integrity. This study explores student perceptions and behaviours concerning academic integrity and the use of GenAI in the context of an…
Descriptors: Artificial Intelligence, College Students, Integrity, Technology Uses in Education
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Ben Oliver D. Tutor; Emerson R. Rico – Journal of Academic Ethics, 2026
The integration of technology into education, though beneficial, has also raised concerns about academic dishonesty. Digital tools and platforms provide new opportunities for students to engage in behaviors that could undermine academic integrity. Understanding why students commit these acts is crucial for designing effective policies to mitigate…
Descriptors: Technology Uses in Education, Artificial Intelligence, Natural Language Processing, Cheating
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Liangliang Xia; Xin An; Xinyi Li; Yan Dong – Journal of Educational Computing Research, 2026
Student learning agency, encompassing key abilities, essential mental characteristics and active actions, is recognized as a crucial factor for effective teaching and learning in the generative artificial intelligence (AI) era. This study examines the structural relationships among perceptions of generative AI (i.e., effort expectancy, performance…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, College Students
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Louie Giray; Jomarie Jacob; Valerie Encanto; Crisza Joy Mansilungan – Journal of Academic Ethics, 2026
Employing a qualitative research design utilizing semi-structured interviews we explored the motivations of Filipino undergraduate students who admitted to using generative AI (GenAI) to cheat in their writing. Using the theory of planned behavior as a theoretical framework this study, we found that students reframed GenAI cheating as a legitimate…
Descriptors: Foreign Countries, Artificial Intelligence, Undergraduate Students, Cheating
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Carolyn Gentle-Genitty; Chloe Marie Janssen; Saahoon Hong; Francis Bowen; Marlin Jackson – Education and Urban Society, 2026
The study leverages the Building Dreams technology platform, which aggregates data on observed student behavior and links observations to core values of Social and Emotional Learning. During the fall 2023 semester, 34,808 data points for 443 students in grades 3 to 6 across two urban K-12 schools in Indiana were used. Few studies have…
Descriptors: Outcomes of Education, Student Behavior, Grade 3, Grade 4