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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
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
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
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
Psyridou, Maria; Tolvanen, Asko; Patel, Priyanka; Khanolainen, Daria; Lerkkanen, Marja-Kristiina; Poikkeus, Anna-Maija; Torppa, Minna – Scientific Studies of Reading, 2023
Purpose: We aim to identify the most accurate model for predicting adolescent (Grade 9) reading difficulties (RD) in reading fluency and reading comprehension using 17 kindergarten-age variables. Three models (neural networks, linear, and mixture) were compared based on their accuracy in predicting RD. We also examined whether the same or a…
Descriptors: Reading Difficulties, Networks, Artificial Intelligence, Predictor Variables
Pratama, Aditya – Cypriot Journal of Educational Sciences, 2021
The purpose of this research was to measure the acceptance of Google Classroom use by junior high school students using variables such as habits, satisfaction, knowledge, and skills. To achieve the set objective, it adopted the TAM, which measures technology usability and ease of use. TAM also provides a theoretical basis for measuring students'…
Descriptors: Technology Integration, Educational Technology, Electronic Learning, COVID-19
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