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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
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
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
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
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
Zheng, Guoguo; Fancsali, Stephen E.; Ritter, Steven; Berman, Susan R. – Journal of Learning Analytics, 2019
If we wish to embed assessment for accountability within instruction, we need to better understand the relative contribution of different types of learner data to statistical models that predict scores and discrete achievement levels on assessments used for accountability purposes. The present work scales up and extends predictive models of math…
Descriptors: Formative Evaluation, Predictor Variables, Summative Evaluation, Scores
Richey, J. Elizabeth; Bernacki, Matthew L.; Belenky, Daniel M.; Nokes-Malach, Timothy J. – Journal of Experimental Education, 2018
Models of achievement goals suggest that different tasks and contexts influence the goals students adopt at a given time. However, many studies of achievement goals rely on measures assessed at the class level, analyze results with a variable-centered approach, and employ self-report questionnaires, which may reduce understanding of the contextual…
Descriptors: Grade 7, Grade 8, Middle School Students, Context Effect
Arslan, Serhat – Educational Research and Reviews, 2015
The purpose of this study is to examine the relationship between social emotional learning and educational stress. Participants were 321 elementary students. Social emotional learning and educational stress scale were used as measures. The relationships between social emotional learning and educational stress were examined using correlation…
Descriptors: Models, Stress Variables, Correlation, Daily Living Skills
Jensen, Jennifer – ProQuest LLC, 2014
This study sought to determine if there is a relationship between students' scores on the eighth-grade Indiana State Test of Education Progress Plus (ISTEP+) exam and success on Indiana's Algebra End-of-Course Assessment (ECA). Additionally, it sought to determine if algebra success could be significantly predicted by the achievement in one or…
Descriptors: Standardized Tests, Prior Learning, Mathematics Achievement, Algebra
Fang, Zheng; Xu, Xianxuan; Grant, Leslie W.; Stronge, James H.; Ward, Thomas J. – Creativity Research Journal, 2016
Using Hofstede's culture dimensions and World Values Survey (WVS) dimensions, the study uses a series of multiple regressions to explore the relationship among national culture, creativity as measured by patents, economic productivity as measured by gross domestic product per capita, and student achievement as measured by Trends in International…
Descriptors: Creativity, Productivity, Surveys, Multiple Regression Analysis
Brooks-Russell, Ashley; Foshee, Vangie A.; Ennett, Susan T. – Journal of Youth and Adolescence, 2013
This study identified classes of developmental trajectories of physical dating violence victimization from grades 8 to 12 and examined theoretically-based risk factors that distinguished among trajectory classes. Data were from a multi-wave longitudinal study spanning 8th through 12th grade (n = 2,566; 51.9 % female). Growth mixture models were…
Descriptors: Risk, Drinking, Gender Differences, Victims
Reyes, H. Luz McNaughton; Foshee, Vangie A. – Journal of Youth and Adolescence, 2013
Investigators have identified a number of factors that increase risk for physical and psychological dating abuse perpetration during adolescence, but as yet little is known about the etiology of sexual dating aggression during this critical developmental period. This is an important gap in the literature given that research suggests that patterns…
Descriptors: Prevention, Rape, Risk, Early Adolescents
Nilsen, Trude; Gustafsson, Jan-Eric – Educational Research and Evaluation, 2014
We study whether changes in school emphasis on academic success (SEAS) and safe schools (SAFE) may explain the increased science performance in Norway between TIMSS 2007 and 2011. Two-level structural equation modelling (SEM) of merged TIMSS data was used to investigate whether changes in levels of SEAS and SAFE mediate the changes in science…
Descriptors: Academic Achievement, Success, Science Achievement, Performance Based Assessment