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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
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
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
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
Flunger, Barbara; Trautwein, Ulrich; Nagengast, Benjamin; Lüdtke, Oliver; Niggli, Alois; Schnyder, Inge – Journal of Experimental Education, 2021
The present study illustrates the utility of applying multilevel mixture models in educational research, using data on the homework behavior of 1,812 Swiss eighth-grade students in French as a second language. A previous person-centered study identified 5 homework learning types characterized by different patterns of high or low homework time and…
Descriptors: Foreign Countries, Middle School Students, Grade 8, Multivariate Analysis
Kuddar, Cagla; Cetin, Sevda – International Journal of Assessment Tools in Education, 2022
The purpose of the study is to analyze the affective traits that affect mathematics achievement through Structural Equation Modeling (SEM) as a traditional regression model and Multivariate Adaptive Regression Splines (MARS), as one of the data mining methods. Structural Equation Modeling, one of the regression-based methods, is quite popular for…
Descriptors: Mathematics Achievement, Structural Equation Models, Regression (Statistics), Achievement Tests
Soltani, Asghar – Research in Science Education, 2020
Classroom environment, family, and peers are important factors in influencing students' science learning. The primary aim of this study was to examine the effects of three environmental factors related to science learning (motivating science class, family models, and peer models) on students' approaches to learning science (deep approach and…
Descriptors: Science Education, Science Instruction, Learning Motivation, Secondary School Science
Bui, Khanh – Education, 2019
Cross-lagged relationships between academic achievement and perceived parental educational expectations were examined by using panel data from 5,312 students from the National Educational Longitudinal Study from when they were in Grades 8, 10, and 12. Three hypotheses were tested: (1) academic achievement would precede perceptions of parents'…
Descriptors: Academic Achievement, Expectation, Educational Attainment, Parent Child Relationship
Aslantas, Ismail – Education Sciences, 2020
It is widely believed that the teacher is one of the most important factors influencing a student's success at school. In many countries, teachers' salaries and promotion prospects are determined by their students' performance. Value-added models (VAMs) are increasingly used to measure teacher effectiveness to reward or penalize teachers. The aim…
Descriptors: Context Effect, Predictor Variables, Value Added Models, Teacher Effectiveness
Ouvrein, Gaëlle; Pabian, Sara; Machimbarrena, Juan Manuel; Erreygers, Sara; De Backer, Charlotte J. S.; Vandebosch, Heidi – Journal of Early Adolescence, 2019
The present study investigated the effect of descriptive and injunctive norms of peers, parents, and favorite celebrities on adolescents' negative online behavior toward celebrities. The sample consisted of 1,255 adolescents ([X-bar][subscript age] = 14.17, SD = 0.47). Adolescents indicated what their peers, parents, and favorite celebrities think…
Descriptors: Social Attitudes, Popular Culture, Negative Attitudes, Peer Influence
Yelgeç, Nihal; Dagyar, Miray – International Journal of Contemporary Educational Research, 2020
This study aims to investigate the impact of metacognitive awareness and self-efficacy beliefs of middle school students on their level of foreign language learning anxiety by using structural equation modelling. A total of 285 7th and 8th grade students from a middle school in Turkey during the 2018-2019 academic year were included in the study.…
Descriptors: Structural Equation Models, Middle School Students, Metacognition, Self Efficacy
New York State Education Department, 2020
This document describes the model used to measure student growth for institutional accountability in New York State for the 2018/19 school year and how three years of student growth results were combined to generate a three-year growth measure called the Growth Index. The Growth Index was first used in 2017/18 to make accountability…
Descriptors: Growth Models, Accountability, Scores, Predictor Variables
Ulstad, Svein Olav; Halvari, Hallgeir; Deci, Edward L. – Scandinavian Journal of Educational Research, 2019
This study uses Self-Determination Theory as a theoretical framework to test the hypotheses that students self-reports of their motivational regulations would predict teachers' perception of students' motivational regulations, even after controlling for performance. An additional aim was to test a process model in which students' perceived…
Descriptors: Physical Education, Student Participation, Teacher Attitudes, Student Attitudes
Karumbaiah, Shamya; Baker, Ryan S.; Shute, Valerie – International Educational Data Mining Society, 2018
Identifying struggling students in real-time provides a virtual learning environment with an opportunity to intervene meaningfully with supports aimed at improving student learning and engagement. In this paper, we present a detailed analysis of quit prediction modeling in students playing a learning game called Physics Playground. From the…
Descriptors: Predictor Variables, Academic Persistence, Educational Games, Play