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Jennifer L. Chiu; James P. Bywater; Tugba Karabiyik; Alejandra Magana; Corey Schimpf; Ying Ying Seah – Journal of Science Education and Technology, 2024
Despite an increasing focus on integrating engineering design in K-12 settings, relatively few studies have investigated how to support students to engage in systematic processes to optimize the designs of their solutions. Emerging learning technologies such as computational models and simulations enable rapid feedback to learners about their…
Descriptors: Engineering, Middle School Students, High School Students, Building Design
Schweig, Jonathan; McEachin, Andrew; Kuhfeld, Megan; Mariano, Louis T.; Diliberti, Melissa Kay – RAND Corporation, 2021
The novel coronavirus disease 2019 (COVID-19) pandemic has created an unprecedented set of obstacles for schools and exacerbated existing structural inequalities in public education. In spring 2020, as schools went to remote learning formats or closed completely, end-of-year assessment programs ground to a halt. As a result, schools began the…
Descriptors: Student Placement, COVID-19, Pandemics, Student Characteristics
Jonathan Schweig; Andrew McEachin; Megan Kuhfeld; Louis T. Mariano; Melissa Kay Diliberti – Grantee Submission, 2021
The novel coronavirus disease 2019 (COVID-19) pandemic has created an unprecedented set of obstacles for schools and exacerbated existing structural inequalities in public education. In spring 2020, as schools went to remote learning formats or closed completely, end-of-year assessment programs ground to a halt. As a result, schools began the…
Descriptors: Student Placement, COVID-19, Pandemics, Student Characteristics
Jinyong Hahn; John D. Singleton; Nese Yildiz – Annenberg Institute for School Reform at Brown University, 2023
Panel or grouped data are often used to allow for unobserved individual heterogeneity in econometric models via fixed effects. In this paper, we discuss identification of a panel data model in which the unobserved heterogeneity both enters additively and interacts with treatment variables. We present identification and estimation methods for…
Descriptors: Teacher Effectiveness, Models, Computation, Statistical Analysis
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Harmon, Willie C., Jr.; James, Marlon; Young, Jamaal; Scott, Lawrence – Equity & Excellence in Education, 2023
This QuantCrit analysis considers Black fathers' influence on their sons' engagement and sense of belonging in urban intensive and emergent high schools. Canonical correlations show a significant relationship between Black fathers' paternal influence and their sons' engagement and sense of belonging in school. We discuss two QuantCrit…
Descriptors: African American Family, Fathers, African American Students, Parent Influence
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Christie, S. Thomas; Jarratt, Daniel C.; Olson, Lukas A.; Taijala, Taavi T. – International Educational Data Mining Society, 2019
Schools across the United States suffer from low on-time graduation rates. Targeted interventions help at-risk students meet graduation requirements in a timely manner, but identifying these students takes time and practice, as warning signs are often context-specific and reflected in a combination of attendance, social, and academic signals…
Descriptors: Dropout Prevention, At Risk Students, Artificial Intelligence, Decision Support Systems
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Piech, Chris; Bumbacher, Engin; Davis, Richard – International Educational Data Mining Society, 2020
One crucial function of a classroom, and a school more generally, is to prepare students for future learning. Students should have the capacity to learn new information and to acquire new skills. This ability to "learn" is a core competency in our rapidly changing world. But how do we measure ability to learn? And how can we measure how…
Descriptors: Academic Ability, Measurement, Middle School Students, Achievement Gains
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Kooken, Janice; McCoach, D. Betsy; Chafouleas, Sandra M. – Journal of Experimental Education, 2019
Current practices for growth mixture modeling emphasize the importance of the proper parameterization and number of classes, but the impact of these decisions on latent class composition and the substantive implications has not been thoroughly addressed. Using measures of behavior from 575 middle school students, we compared the results of several…
Descriptors: Statistical Analysis, Middle School Students, Hierarchical Linear Modeling, Student Behavior
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Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…
Descriptors: Randomized Controlled Trials, Middle School Mathematics, Middle School Students, Middle Schools
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Klingbeil, David A.; Van Norman, Ethan R.; Nelson, Peter M. – Assessment for Effective Intervention, 2021
This direct replication study compared the use of dichotomized likelihood ratios and interval likelihood ratios, derived using a prior sample of students, for predicting math risk in middle school. Data from the prior year state test and the Measures of Academic Progress were analyzed to evaluate differences in the efficiency and diagnostic…
Descriptors: Achievement Tests, Grade 6, Grade 7, At Risk Students
Peng, Luyao; Sinharay, Sandip – Educational and Psychological Measurement, 2022
Wollack et al. (2015) suggested the erasure detection index (EDI) for detecting fraudulent erasures for individual examinees. Wollack and Eckerly (2017) and Sinharay (2018) extended the index of Wollack et al. (2015) to suggest three EDIs for detecting fraudulent erasures at the aggregate or group level. This article follows up on the research of…
Descriptors: Cheating, Identification, Statistical Analysis, Testing
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Hoffman, Jill A.; Anderson-Butcher, Dawn; Fuller, Michael; Bates, Samantha – Children & Schools, 2017
Rural schools face unique challenges that affect student academic success or failure. Youths served in rural settings experience barriers to learning that negatively influence their achievement and developmental outcomes. To improve outcomes for rural youths, it is important for schools to understand overall school experiences so that school-wide…
Descriptors: Rural Schools, Middle School Students, Student Attitudes, Student Experience
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Kuang, Xiaoxue; Kennedy, Kerry J.; Mok, Magdalena Mo Ching – Journal of Social Science Education, 2018
Purpose: Literature indicates that open classroom climate (OCC) is a positive influence on civic outcomes. Few studies have explored factors that appear to facilitate OCC. Most research on OCC has focused on Western countries. The emphasis has been on individual student characteristics related to OCC with little attention made to school level…
Descriptors: Democratic Values, Classroom Environment, Classroom Techniques, Individual Characteristics
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Anyon, Yolanda; Kennedy, Heather; Durbahn, Rebecca; Jenson, Jeffrey M. – Afterschool Matters, 2018
How can afterschool programs engage middle school students of color as they enter their teenage years? The authors asked this question while working with the Bridge Project, a drop-in community-based academic enrichment program serving low-income children and adolescents of color living in public housing in Denver, Colorado. Faced with dwindling…
Descriptors: Youth, Action Research, Participatory Research, After School Programs
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Cantrell, Susan Chambers; Rintamaa, Margaret; Anderman, Eric M.; Anderman, Lynley H. – Journal of Educational Research, 2018
The authors examined 1,781 rural students' reading motivation and behavior across the transition from middle to high school. Using expectancy-value theory, they investigated how motivational variables predicted changes in reading behavior and achievement across the transition in terms of their expectancies, values, and out-of-school reading…
Descriptors: Rural Areas, Reading Motivation, Reading Comprehension, Reading Tests
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