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Jae Yup Jung; Jihyun Lee – Psychology in the Schools, 2025
In this study, an investigation was conducted into the nature of the attitudes of the general student body (comprising all students) toward gifted students and gifted education, along with the predictors of such attitudes. For this purpose, survey data were collected from 400 secondary students enrolled in a faith-based school system in Australia.…
Descriptors: Student Attitudes, Academically Gifted, Gifted Education, Predictor Variables
Sarab Tej Singh; Satish Kumar; Vishal Singh – Journal of Education and Learning (EduLearn), 2025
The current research is the study of academic buoyancy in relation to emotional intelligence and parenting styles. Academic buoyancy is a strength in a student's life to deal with the routine problems in classroom study like low grades, negative feedback by teachers, and difficulties in understanding of concepts. For the studying the relationship…
Descriptors: Parenting Styles, Emotional Intelligence, Predictor Variables, Academic Achievement
Marijn Martens; Ralf De Wolf; Lieven De Marez – Technology, Knowledge and Learning, 2025
Algorithmic decision-making systems such as Learning Analytics (LA) are widely used in an educational setting ranging from kindergarten to university. Most research focuses on how LA is used and adopted by teachers. However, the perspective of students and parents who experience the (in)direct consequences of these systems is underexplored. This…
Descriptors: Algorithms, Decision Making, Learning Analytics, Secondary School Students
Kelly Lynn Mulvey; Jacqueline Cerda-Smith; Angelina Joy; Emine Ozturk – Social Development, 2025
During adolescence, individuals make key decisions about coursework, and career paths, including paths toward careers in science, technology, engineering, and mathematics (STEM). This study identified groups of adolescents who vary in STEM career interests, feelings of support, and perceptions of barriers in STEM and explored what factors predict…
Descriptors: Predictor Variables, STEM Education, Science Interests, Vocational Interests
Ana Cebollero-Salinas; Santos Orejudo Hernández; Jacobo Cano Escoriaza – Journal of New Approaches in Educational Research, 2025
The socialisation of adolescent boys and girls takes place primarily online in virtual environments, where cyberbullying is one of the greatest current social dangers faced by that age group. Socio-emotional e-competencies (i.e., competencies that apply specifically to online environments) are a protective factor against cyberaggression and…
Descriptors: Socialization, Adolescents, Aggression, Bullying
Emmanuel Bizimana – European Journal of Psychology and Educational Research, 2025
Low engagement of students in learning activities has become a significant barrier to positive learning outcomes and academic progress. Therefore, it is crucial to investigate which effective classroom practices teachers can implement to enhance student engagement. One of the valuable tools teachers can use is creating a supportive classroom…
Descriptors: Classroom Environment, Learner Engagement, Interpersonal Relationship, Equal Education
Zezhen Wu; Shwetlena Sabarwal; Diwakar Basnet; J. Lawrence Aber; Geoffrey L. Cohen – Social Psychology of Education: An International Journal, 2025
In this paper, we present two studies from the first randomized controlled trial on the impact of a values affirmation intervention on academic performance and psychological well-being in school for deaf students in secondary deaf schools in Nepal. In Study 1, we found moderate and suggestive evidence that values affirmation had a small effect on…
Descriptors: Values, Positive Reinforcement, Intervention, Academic Achievement
Mingya Huang; David Kaplan – Journal of Educational and Behavioral Statistics, 2025
The issue of model uncertainty has been gaining interest in education and the social sciences community over the years, and the dominant methods for handling model uncertainty are based on Bayesian inference, particularly, Bayesian model averaging. However, Bayesian model averaging assumes that the true data-generating model is within the…
Descriptors: Bayesian Statistics, Hierarchical Linear Modeling, Statistical Inference, Predictor Variables
Yuyang Cai; Keke Xing; Qianwen Ge – Social Psychology of Education: An International Journal, 2025
The concept of growth mindset has been touted as a promising tool to empower learning, but mixed effects emerge. Growth mindset advocates are calling for more attention to the heterogeneity of growth mindset, namely, the interference of other factors at individual or contextual levels (e.g., teacher variables) with the relationship between growth…
Descriptors: Reading Achievement, Self Efficacy, Beliefs, Student Attitudes
Lingqi Meng; Chen Qiu; Xinling Liu; Minghui Kong – Asia Pacific Journal of Education, 2025
This study explores structural relations among learning environment, achievement goals and reading achievement in China. The sample contains 12,058 Chinese students from the Programme for International Student Assessment (PISA) 2018 study. Multilevel Structural Equation Modeling (Multilevel SEM) is used for data analysis. The results indicate that…
Descriptors: Educational Environment, Academic Achievement, Goal Orientation, Reading Achievement
Monique A. Dijks; Matthijs J. Warrens; Roel J. Bosker; Hanke Korpershoek – Research Papers in Education, 2025
Pupils' subject choices at the level of secondary education critically determine the tertiary fields of study that they can pursue. This study used multinomial logistic regression models to investigate the extent to which the final report card grades of ninth-grade students predicted their choices of subject combinations at the senior general…
Descriptors: Foreign Countries, Secondary School Students, Grade 9, Grades (Scholastic)
Chengze Zeng – Education and Information Technologies, 2025
Mathematical literacy is becoming increasingly important and needs to be developed. However, various factors can affect students with different mathematical literacy patterns. This study aims to investigate the effects of students' backgrounds, attitudes toward mathematics, and information and communication technology (ICT) familiarity on the…
Descriptors: Foreign Countries, Secondary School Students, International Assessment, Numeracy
Xia Kang; Jianyun She; Yajun Wu – Psychology in the Schools, 2025
With the affective turn in education, particularly with the control-value theory (CVT) proposal, a wide range of antecedents of achievement emotions, including psychological capital (PsyCap), have been investigated and verified. It is worth noting, however, that few studies have examined whether cognitive appraisals mediate the association between…
Descriptors: Psychological Patterns, Capital (Sociology), Cognitive Processes, Mathematics Achievement
Linjia Zhang; Norman B. Mendoza; Yi Jiang – European Journal of Psychology of Education, 2025
Students' perceptions of the classroom environment are critical determinants of their motivation and academic success. However, the psychological mechanisms through which these contextual factors influence academic outcomes remain insufficiently explored, particularly in different subject domains. Grounded in the Situated Expectancy-Value Theory,…
Descriptors: Student Attitudes, Classroom Environment, Predictor Variables, Secondary School Students
Yuting Liu; Peng Peng; Xueye Yan – Grantee Submission, 2025
In this meta-analysis of 54 longitudinal studies with over 58,000 students in kindergarten through 12th grade, we examined the predictive nature of early numeracy measured at or before the first year of formal schooling in relation to later mathematics. Results showed that early numeracy significantly predicted mathematics measured after 6 months…
Descriptors: Numeracy, Mathematics Skills, Mathematics Education, Predictor Variables
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