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Zuhal Yöntem; Murat Agirkan – School Mental Health, 2025
This study aimed to examine the psychosocial predictors of peer bullying among middle school students. For this purpose, structural equation modeling (SEM), including peer bullying, school culture, parental rejection, basic psychological needs, and social emotional learning (SEL) skills, was tested. The data were collected from 565 middle school…
Descriptors: Bullying, Predictor Variables, Middle School Students, Social Emotional Learning
Wang, Rui-Ni; Chang, Yuan-Cheng – International Journal of Educational Methodology, 2022
This research's aim was to explore the role of cognitive flexibility in mediating the effect of intrinsic motivation on the creativity of junior high school students. A creativity scale, an intrinsic motivation inventory and a cognitive flexibility inventory were utilized to investigate a sample of junior high school students in Shaanxi Province…
Descriptors: Student Motivation, Junior High School Students, Creativity, Cognitive Processes
Robert G. LaChausse; Esther Lee; Jessica Ducsay – Journal of Drug Education, 2023
Because studies examining youth drug use often have data with a high proportion of zeros, they often do not meet the assumptions for univariate or linear regression analyses that are typically used. We demonstrate the use of zero-inflated negative binomial regression models to address excessive zeros in drug use frequency on perceptions of…
Descriptors: Drug Abuse, Middle School Students, High School Students, Student Attitudes
Härtig, Hendrik; Bernholt, Sascha; Fraser, Nicole; Cromley, Jennifer G.; Retelsdorf, Jan – International Journal of Science and Mathematics Education, 2022
Reading comprehension is an essential skill for learning in general and in science classes. Problems with reading comprehension might hinder students' participation in learning science. Text in science includes specific language features that distinguishes it from narrative text, so should reading instruction be part of teaching science? The…
Descriptors: Reading Comprehension, Science Instruction, Models, Expository Writing
Leonida Bell – ProQuest LLC, 2024
This quantitative, correlational study aims to determine if a predictive relationship exists between teacher perceptions of Tennessee's teacher evaluation and the linear combination of teacher gender, years of experience, and school-level taught (elementary, middle, high). Although teachers have recognized the current teacher evaluation system,…
Descriptors: Predictor Variables, Teacher Attitudes, Teacher Evaluation, Teacher Characteristics
I?smail Çimen; Cemil Yücel; Engin Karadag – Journal of Pedagogical Research, 2024
The aim of the study is to identify variables that explain students' academic performance, determine their relative importance, and consequently, develop an index to distinguish advantaged and disadvantaged schools in pursuit of educational equality. By using this index, we intend to build a model for evaluating schools' overall performance based…
Descriptors: Models, School Effectiveness, Equal Education, Academic Achievement
Asempapa, Reuben S. – International Journal of Education in Mathematics, Science and Technology, 2022
Mathematical modeling has been positioned at the forefront of many educational levels globally because modeling reinforces purposeful problem-solving skills, connects mathematics to the real-world, and makes mathematics more meaningful and relevant. This article investigated K-12 practicing teachers' knowledge and attitudes toward mathematical…
Descriptors: Knowledge Level, Teacher Attitudes, Mathematical Models, Elementary School Teachers
Yilmaz, Yusuf; Açikgül Firat, Esra – Malaysian Online Journal of Educational Technology, 2023
This study aims to determine the predictive effect of attitudes toward digital technologies, gender, grade level, and internet usage time on project based virtual learning qualifications (PBVLQ) of secondary school students. The research design is a predictive correlational study. The sample of the research was 703 6th, 7th and 8th grade students…
Descriptors: Secondary School Students, Active Learning, Student Projects, Electronic Learning
Xu, Lihua; Diket, Read; Brewer, Thomas – Arts Education Policy Review, 2018
This article describes a secondary analysis of the National Assessment of Educational Progress 2008 eighth-grade visual arts data (N = 3,912). These assessments occur under government mandate on a periodic schedule and data on the arts were collected in 1997 and again in 2008. The purpose of this study was to predict students' visual art response…
Descriptors: Predictor Variables, Academic Achievement, Least Squares Statistics, Structural Equation Models
Dikici, Ayhan; Özdemir, Gökhan; Clark, Douglas B. – Research in Science Education, 2020
The purpose of this study is to explore the strength of relationships between 7th, 8th, and 9th grade students' scientific process skills and scientific creativity through structural equation modeling (SEM). For this purpose, data were collected from 353 students in grades 7-9 in Turkey. Scientific Process Skills and Scientific Creativity survey…
Descriptors: Middle School Students, Science Process Skills, Creativity, Foreign Countries
Silvia Wen-Yu Lee; Jyh-Chong Liang; Chung-Yuan Hsu; Meng-Jung Tsai – Interactive Learning Environments, 2024
While research has shown that students' epistemic beliefs can be a strong predictor of their academic performance, cognitive abilities, or self-efficacy, studies of this topic in computer education are rare. The purpose of this study was twofold. First, it aimed to validate a newly developed questionnaire for measuring students' epistemic beliefs…
Descriptors: Student Attitudes, Beliefs, Computer Science Education, Programming
Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
Min, Wookhee; Frankosky, Megan H.; Mott, Bradford W.; Rowe, Jonathan P.; Smith, Andy; Wiebe, Eric; Boyer, Kristy Elizabeth; Lester, James C. – IEEE Transactions on Learning Technologies, 2020
A distinctive feature of game-based learning environments is their capacity for enabling stealth assessment. Stealth assessment analyzes a stream of fine-grained student interaction data from a game-based learning environment to dynamically draw inferences about students' competencies through evidence-centered design. In evidence-centered design,…
Descriptors: Game Based Learning, Student Evaluation, Artificial Intelligence, Models
Üztemur, Servet – Participatory Educational Research, 2020
This paper aims to determine the predictive relationships between achievement goals and learning approaches in the context of social studies teaching and to compare the goal orientation models (3x2, 2x2) in the context of their relationships with learning approaches. The study utilized the multi-factorial predictive correlational design. The study…
Descriptors: Academic Achievement, Learning Strategies, Social Studies, Comparative Analysis
Forsblom, Lara; Pekrun, Reinhard; Loderer, Kristina; Peixoto, Francisco – Journal of Educational Psychology, 2022
Based on control-value theory (CVT), we examined longitudinal relations between students' control and value appraisals, three activity-related achievement emotions (enjoyment, anger, and boredom), and math achievement (N = 1,716 fifth and seventh grade students). We assessed appraisals and emotions with self-report measures of perceived competence…
Descriptors: Cognitive Processes, Coping, Psychological Patterns, Mathematics Achievement