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Yuxin Zhang – Journal of Information Technology Education: Research, 2025
Aim/Purpose: This study investigates the key factors influencing preschool teachers' sustained use of Artificial Intelligence-Generated Content (AIGC) technology in educational settings. While prior research has extensively examined initial adoption, little attention has been given to understanding the continuous intention of preschool teachers…
Descriptors: Preschool Teachers, Artificial Intelligence, Technology Integration, Technology Uses in Education
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Zikang Chen; Ruoxin Gao; Jiaqi Li; Yanjie Liu; Yating Lu; Xiaowei Chu – Social Psychology of Education: An International Journal, 2025
Parent-child cohesion, peer acceptance, and teacher emotional support are critical environmental protective factors that influence bullying behavior. The present study aimed to explore the bidirectional associations between these protective factors and bullying perpetration/victimization, as well as the mediating roles of cognitive empathy and…
Descriptors: Parent Child Relationship, Peer Acceptance, Peer Relationship, Teacher Student Relationship
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Tate LeBlanc; Juan Ramón Arvizu-Sevilla; Aerika Brittian Loyd; Bernadette Sánchez; Lauren Applebaum – Journal for STEM Education Research, 2025
Despite facing systemic and persistent exclusion from STEM careers, Black and Latine youth show rising STEM aspirations during adolescence under certain conditions. Guided by meaning-making and career development perspectives, this study explores how ethnic-racial identity and career outcome expectations predict STEM aspirations among Black and…
Descriptors: Ethnicity, Racial Identification, Occupational Aspiration, Expectation
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Ning Yang; Jinjin Lu; Adrianne John Galang; Huiling Xie – Early Years: An International Journal of Research and Development, 2025
This study aims to examine the relationships between teacher-child relationships, resilience, and emotional competence with an initial sample of 881 (filtered to 739) Chinese young children in a rural region in Guangdong Province, China. They were measured by using Student-Teacher Relationship Scale (STRS), Children's emotional competence scale…
Descriptors: Teacher Student Relationship, Resilience (Psychology), Emotional Development, Migrant Workers
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Ketevan Kobaidze; Nino Javakhishvili – Education, Citizenship and Social Justice, 2025
The study examined the influence of gender variables, as a predictor and moderator of adolescents' civic engagement. The gender variables were operationalized as student's gender, as well as their personal and family gender equality stereotypes and teacher gender tolerance, while civic engagement was operationalized via prosocial behavior,…
Descriptors: Adolescents, Gender Differences, Citizen Participation, Predictor Variables
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Mary Ellen Dello Stritto; Dane Skinner; Naomi R. Aguiar; Greta R. Underhill – Journal of Student Financial Aid, 2025
A wealth of evidence indicates that financial aid is positively associated with retention and graduation rates among college students attending in-person courses. However, limited research exists on the relation between financial aid, retention, and graduation rates among undergraduate students earning online degrees. The purpose of this study was…
Descriptors: Student Financial Aid, School Holding Power, Academic Persistence, Graduation Rate
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Brett D. Jones; Xiao Zhu; Margaret Ellis; Zeynep Ambarkutuk; Hande Fenerci – European Journal of Engineering Education, 2025
To address the demand for engineers and computer scientists in the workforce, and the fact that some engineering students dropout or change majors, we explored how the motivational climate in an undergraduate computer science (CS) course was related to students' motivational beliefs and academic and career goals. Participants included 310 students…
Descriptors: Student Attitudes, Student Motivation, Beliefs, Occupational Aspiration
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Okan Dis; Nihan Demirkasimoglu – Asia-Pacific Education Researcher, 2025
This study aims to explore the role of Turkish school administrators' sensemaking skills in shaping school learning climate and teacher commitment. Utilizing a cross-sectional survey design and Structural Equation Modeling, data were collected from a sample of 706 teachers. Findings showed that school administrators' sensemaking skills have a…
Descriptors: Educational Environment, Teacher Motivation, School Administration, Teacher Administrator Relationship
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Tianxue Cui; Emily Hongzhen Cheng; Jian Shi; Qimeng Liu – British Journal of Educational Psychology, 2025
Aim: This study employed a three-wave random intercept cross-lagged panel model (RI-CLPM) to investigate whether a reciprocal relationship exists between perceived peer relationships (intimacy and conflict) and achievement motivation in math and English in the Chinese context. Samples: A total of 4040 high school students were tracked with their…
Descriptors: Peer Relationship, Academic Achievement, Learning Motivation, High School Students
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Mendy Boettcher Minjarez; Grace W. Gengoux; Katherine Paszek; Jennifer A. Liang; Christina Mich Ardel; Antonio Y. Hardan; Thomas Frazier – Journal of Autism and Developmental Disorders, 2025
Purpose: Access to intervention is a barrier for children with autism. As parent-mediated interventions have emerged to address this need, understanding implementation components contributing to child gains is critically important. Existing literature documents relationships between parent treatment adherence and child progress; however, less is…
Descriptors: Predictor Variables, Parent Education, Training, Intervention
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Chung-Yuan Hsu; Ching Sing Chai; Jyh-Chong Liang – Australasian Journal of Educational Technology, 2025
Preschool pre-service teachers need to be prepared for the age of artificial intelligence (AI) as part of the teaching force; however, much research is still needed in this area. This study aimed to explore the structural relationships in pre-service preschool teachers' perceived AI readiness, focusing on AI literacy, AI anxiety, AI confidence and…
Descriptors: Preservice Teachers, Preschool Teachers, Artificial Intelligence, Technology Uses in Education
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Brianna Paquette; Rachelle M. Johnson; Caroline G. Richter – Mind, Brain, and Education, 2025
Children's socioemotional and cognitive traits may hinder or support reading comprehension based on models of risk and resilience. Effortful control, attention, and positive affect were examined as promotive factors, and general and test anxiety as risk factors. Participants included 197 twin children (115 girls; M[subscript age] = 13.6 years)…
Descriptors: Anxiety, Reading Comprehension, Risk, Resilience (Psychology)
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Lidia Rossi; Mara Soncin; Melisa Lucia Diaz Lema; Tommaso Agasisti – Educational Assessment, Evaluation and Accountability, 2025
Early identification of schools with a high percentage of students at risk of learning poverty is crucial for effective and targeted interventions. This study investigates the use of an innovative combination of large-scale administrative datasets and advanced statistical techniques to predict schools at risk of learning poverty in Italy in the…
Descriptors: Disadvantaged Schools, At Risk Students, Foreign Countries, Economically Disadvantaged
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Christopher R. Niileksela; Daniel B. Hajovsky; Zhizhou He; Ethan F. Villeneuve – Journal of Psychoeducational Assessment, 2025
Cognitive-achievement relations research suggests that cognitive abilities are instrumental for academic skill development. This study examined cognitive-achievement relations with the newly revised Woodcock-Johnson V (WJ V) standardization sample across the lifespan (ages 6-90+) for reading, writing, and mathematics using multi-group structural…
Descriptors: Cognitive Ability, Cognitive Tests, Achievement Tests, Academic Achievement
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Afeez Tunde Jinadu; Jamiu Amusa – Pakistan Journal of Distance and Online Learning, 2025
The study investigated teachers' attitude towards ICT and its usage as predictors of senior secondary student performance in Physics. The study employed a correlation survey to sample 105 respondents drawn from five schools. Three instruments; TAIQ (r=0.86), TIUQ ([alpha] = 0.78) and PAT (r=0.83) were employed. Pearson correlation and multiple…
Descriptors: Teacher Attitudes, Secondary School Students, Physics, Science Achievement
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