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Pair Programming in Perspective: Effects on Persistence, Achievement, and Equity in Computer Science
Bowman, Nicholas A.; Jarratt, Lindsay; Culver, K. C.; Segre, Alberto M. – Journal of Research on Educational Effectiveness, 2020
Pair programming is a form of collaborative learning in computer science that involves two students working together on a coding project. Previous research has identified mostly positive outcomes from this practice, such as course grades and the quality of the resulting code. Pair programming may also facilitate interactions that improve the…
Descriptors: Cooperative Learning, Programming, Computer Science, Academic Persistence
Forrow, Lauren; Starling, Jennifer; Gill, Brian – Regional Educational Laboratory Mid-Atlantic, 2023
The Every Student Succeeds Act requires states to identify schools with low-performing student subgroups for Targeted Support and Improvement or Additional Targeted Support and Improvement. Random differences between students' true abilities and their test scores, also called measurement error, reduce the statistical reliability of the performance…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
Regional Educational Laboratory Mid-Atlantic, 2023
This Snapshot highlights key findings from a study that used Bayesian stabilization to improve the reliability (long-term stability) of subgroup proficiency measures that the Pennsylvania Department of Education (PDE) uses to identify schools for Targeted Support and Improvement (TSI) or Additional Targeted Support and Improvement (ATSI). The…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
Regional Educational Laboratory Mid-Atlantic, 2023
The "Stabilizing Subgroup Proficiency Results to Improve the Identification of Low-Performing Schools" study used Bayesian stabilization to improve the reliability (long-term stability) of subgroup proficiency measures that the Pennsylvania Department of Education (PDE) uses to identify schools for Targeted Support and Improvement (TSI)…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
Wu, Jason Hsinchieh; Lin, Chunn-Ying – Asia Pacific Education Review, 2018
Research on teacher and school academic optimism has abounded ever since these two constructs were confirmed and shown to have positive effects on student achievement. However, one overlooked research question is the nested association between teacher and school academic optimism. This study intends to fill this gap by using hierarchical linear…
Descriptors: Hierarchical Linear Modeling, Elementary School Students, Elementary School Teachers, Foreign Countries
Baysu, Gülseli; Celeste, Laura; Brown, Rupert; Verschueren, Karine; Phalet, Karen – Child Development, 2016
Can perceptions of equal treatment buffer the negative effects of threat on the school success of minority students? Focusing on minority adolescents from Turkish and Moroccan heritage in Belgium (M[subscript age] = 14.5; N = 735 in 47 ethnically diverse schools), multilevel mediated moderation analyses showed: (a) perceived discrimination at…
Descriptors: Foreign Countries, Minority Group Students, Adolescents, Student Diversity
Aske, Denise Burke; Chomitz, Virginia Rall; Liu, Xiaodong; Arsenault, Lisa; Bhalotra, Sarita; Acevedo-Garcia, Dolores – Journal of School Health, 2018
Objectives: We examined the longitudinal relationship between cardiovascular fitness (CRF) and academic performance (AP) among students in a diverse public school district. Furthermore, we determined whether the relationship between CRF and AP varied by student sociodemographic characteristics. Methods: This study used data from 2005-2006 to…
Descriptors: Correlation, Body Weight, Socioeconomic Status, Physical Fitness
Effects of a Reform High School Mathematics Curriculum on Student Achievement: Whom Does It Benefit?
Krupa, Erin E.; Confrey, Jere – Journal of Curriculum Studies, 2017
This study compared the effects of an integrated reform-based curriculum to a subject-specific curriculum on student learning of 19,526 high school algebra students. Using hierarchical linear modelling to account for variation in student achievement, the impact of the reform-based "Core-Plus Mathematics" curricular materials on student…
Descriptors: Educational Change, Mathematics Curriculum, Academic Achievement, Integrated Curriculum
Fletcher, Edward C., Jr.; Tyson, Will – Career and Technical Education Research, 2017
In this study, we determined the educational pathways and key life course transitions of young adults who enter Science, Technology, Engineering, Mathematics, and Health (STEMH) technician and professional jobs using the 1997 National Longitudinal Survey of Youth (NLSY) dataset, tracking high school students from 1997 to adulthood in 2009. Using…
Descriptors: Longitudinal Studies, Young Adults, STEM Education, Science Careers
Adams, Curt M.; Forsyth, Patrick B.; Ware, Jordan; Mwavita, Mwarumba; Barnes, Laura L.; Khojasteb, Jam – Education Policy Analysis Archives, 2016
Oklahoma is one of 16 states electing to use an A-F letter grade as an indicator of school quality. On the surface, letter grades are an attractive policy instrument for school improvement; they are seemingly clear, simple, and easy to interpret. Evidence, however, on the use of letter grades as an instrument to rank and improve schools is scant…
Descriptors: Grading, Grades (Scholastic), Educational Quality, Educational Indicators
Mickelson, Roslyn Arlin – American Educational Research Journal, 2015
Middle schools are important because they launch students on trajectories that they are likely to follow throughout their formal educations. This study explored the relationship of first-generation segregation (elementary and middle school racial composition) and second-generation segregation (racially correlated academic tracks) to reading and…
Descriptors: Middle School Students, Academic Achievement, School Segregation, Racial Composition
Fass-Holmes, Barry; Vaughn, Allison A. – Journal of International Students, 2014
Are international undergraduates struggling academically, and are their struggles due to weaknesses in English as a second language? The present study showed that 1) at most 10% of these students in three cohorts (ranging in size from N = 322 to N = 695) at an American west coast public university struggled (quarterly grade point averages below C)…
Descriptors: Undergraduate Students, Foreign Students, Academic Ability, Grade Point Average
Feldman, Betsy J.; Rabe-Hesketh, Sophia – Journal of Educational and Behavioral Statistics, 2012
In longitudinal education studies, assuming that dropout and missing data occur completely at random is often unrealistic. When the probability of dropout depends on covariates and observed responses (called "missing at random" [MAR]), or on values of responses that are missing (called "informative" or "not missing at random" [NMAR]),…
Descriptors: Dropouts, Academic Achievement, Longitudinal Studies, Computation
Schreiner, Laurie A., Ed.; Louis, Michelle C., Ed.; Nelson, Denise D., Ed. – National Resource Center for the First-Year Experience and Students in Transition, 2012
"Thriving in Transitions: A Research-Based Approach to College Student Success" represents a paradigm shift in the student success literature. Grounded in positive psychology, the thriving concept reframes the student success conversation by focusing on the characteristics amenable to change and that promote high levels of academic,…
Descriptors: College Students, College Freshmen, College Seniors, Academic Achievement
Strand, Steve – Review of Education, 2016
Relatively little research has explored whether schools differ in their effectiveness for different group of pupils (e.g. by ethnicity, poverty or gender), for different curriculum subjects (e.g. English, mathematics or science) or over time (different cohorts). This paper uses multilevel modelling to analyse the national test results at age 7 and…
Descriptors: School Effectiveness, Hierarchical Linear Modeling, Children, Elementary School Students
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