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Anika Alam; A. Brooks Bowden – Society for Research on Educational Effectiveness, 2024
Background: The importance of high school completion for jobs and postsecondary opportunities is well- documented. Combined with federal laws where high school graduation rate is a core performance indicator, school systems and states face pressure to actively monitor and assess high school completion. This proposal employs machine learning…
Descriptors: Dropout Characteristics, Prediction, Artificial Intelligence, At Risk Students
Zarkadis, Nikolaos; Stamovlasis, Dimitrios; Papageorgiou, George – European Journal of Physics Education, 2021
The present study investigates the effect of three neo-Piagetian constructs, namely Formal Reasoning (FR), Field Dependence/Independence (FDI) and Divergence (DIV), as well as the effect of age and gender, on students' portrayed representations of the atomic structure, considering their degree of coherence. For this purpose students'…
Descriptors: Secondary School Students, Piagetian Theory, Nuclear Physics, Cognitive Style
Ana Maria Sagre-Barboza; Paula Andrea García-Montes; Sobeida del Carmen Correa Morelo – HOW, 2025
This article informs the results of a study conducted at a public secondary school in Colombia whose purpose was to explore how eighth-grade students dispel judgment and stereotypes concerning cultural differences through authentic materials inserted in the IMAGE model. The research design involved a qualitative research method and the application…
Descriptors: Foreign Countries, Grade 8, Secondary School Students, Cultural Differences
Saaatcioglu, Fatima Munevver – International Journal of Assessment Tools in Education, 2022
The aim of this study is to investigate the presence of DIF over the gender variable with the latent class modeling approach. The data were collected from 953 students who participated in the PISA 2018 8th-grade financial literacy assessment in the USA. Latent Class Analysis (LCA) approach was used to identify the latent classes, and the data fit…
Descriptors: International Assessment, Achievement Tests, Secondary School Students, Gender Differences
Wafa, Mohammad Nasim; Hussani, Sayed Abdul Moqim; Pazhman, Jumakhan – EURASIA Journal of Mathematics, Science and Technology Education, 2020
Cognitive diagnosis models (CDMs) are restricted latent class models that can be used to analyze response data from educational or psychological tests. The Deterministic Input Noisy Output "AND" gate (DINA) model and the Deterministic Input Noisy Output "OR" gate (DINO) model there are two popular cognitive diagnosis models…
Descriptors: Foreign Countries, Mathematics Skills, Cognitive Ability, Gender Differences
Safadi, Rafi' – International Journal of Science Education, 2022
Troubleshooting activities require students to diagnose teacher-crafted erroneous examples by detecting and explaining the conceptual errors driving them. In a previous study, the author tested whether diagnosing erroneous examples and then scoring them using a rubric that contained the related worked examples, a step-by-step strategy to solve a…
Descriptors: Error Patterns, Scientific Concepts, Physics, Science Instruction
James Soland; Yeow Meng Thum – Annenberg Institute for School Reform at Brown University, 2019
Effect sizes in the Cohen's d family are often used in education to compare estimates across studies, measures, and sample sizes. For example, effect sizes are used to compare gains in achievement students make over time, either in pre- and post-treatment studies or in the absence of intervention, such as when estimating achievement gaps. However,…
Descriptors: Effect Size, Academic Achievement, Achievement Gains, Gender Differences
Kaur, Tejinder; Blair, David; Choudhary, Rahul Kumar; Dua, Yohanes Sudarmo; Foppoli, Alexander; Treagust, David; Zadnik, Marjan – Physics Education, 2020
There is growing interest in the introduction of Einsteinian concepts of space, time, light and gravity across the entire school curriculum. We have developed an educational programme named 'Einstein-First', which focuses on teaching Einsteinian concepts by using simple models and analogies. To test the effectiveness of these models and analogies…
Descriptors: Science Instruction, Physics, Gender Differences, Scientific Concepts
Choi, Soobin; Cha, Yun-Kyung – International Journal of Inclusive Education, 2021
This study aims to examine whether there exists a gap in patriotic pride in host countries between immigrant and native students and whether an integration policy in education would work to narrow the gap. This study assumes that immigrant students' patriotic pride in host countries may not only result from immigrant status but also it may be a…
Descriptors: Immigrants, Patriotism, Social Integration, Public Policy
Lee, Show-Run; Lu, Yu-Ling; Lien, Chi-Jui – Journal of Baltic Science Education, 2019
The use of scientific models has been regarded as an important skill for scientific enquiry. However, although many national curricula and major international science education reform movements have stressed the use of scientific models in science teaching and learning, students and teachers generally do not know how to perceive models properly.…
Descriptors: Models, Student Attitudes, Teacher Attitudes, Grade 4
Davis, Heather A.; Chang, Mei-Lin; Andrzejewski, Carey E.; Poirier, Ryan R. – Learning Environments Research, 2014
The purpose of this study was to examine changes in students' relational engagement across the transition to high school in three schools reformed to improve the quality of student-teacher relationships. In order to analyze this data we employed latent growth curve (LGC) modeling techniques (n = 637). We ran three LGC models on three…
Descriptors: High School Students, Learner Engagement, Hypothesis Testing, Teamwork
Robinson, Christie M.; Babo, Gerard – AASA Journal of Scholarship & Practice, 2014
This study examined the influence of student demographic variables (i.e., SES, race, attendance, and gender) and the school variable of placement in an inclusion setting on the academic achievement of general education students in grades 6, 7, and 8 (n = 1200) in an urban school district as measured by the 2010-2011 NJASK, the state's annual…
Descriptors: Inclusion, Academic Achievement, Correlation, Multiple Regression Analysis
Moon, John L. – ProQuest LLC, 2013
The purpose of this study was to investigate the relationship between student mathematics performance of 4th, 8th, and 11th grade students in Nebraska and the mode of test administration, online and paper-pencil. Schools were allowed to select the mode of test administration for their school with some exceptions for students needing…
Descriptors: Mathematics Achievement, Grade 4, Grade 8, Grade 11
Wetzel, Eunike; Xu, Xueli; von Davier, Matthias – Educational and Psychological Measurement, 2015
In large-scale educational surveys, a latent regression model is used to compensate for the shortage of cognitive information. Conventionally, the covariates in the latent regression model are principal components extracted from background data. This operational method has several important disadvantages, such as the handling of missing data and…
Descriptors: Surveys, Regression (Statistics), Models, Research Methodology
Gfellner, Barbara M.; Armstrong, Helen D. – Journal of Early Adolescence, 2013
This study supported associations between three theoretically driven conceptualizations of racial and ethnic identity (REI; Multigroup Ethnic Identity Measure; Multidimensional Racial Identity Measure; Bicultural Identity Measure) and with adaptive functioning among Canadian indigenous adolescents in middle school to high school. Age differences…
Descriptors: Foreign Countries, Racial Identification, Ethnicity, Biculturalism