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Moore, Rhiannon – School Effectiveness and School Improvement, 2022
Existing research on "school effectiveness" indicates that differences at the school level contribute significantly towards variation in student outcomes; however, less is known about the effectiveness of schooling in low- and middle-income countries (LMICs). This paper addresses this gap using quantitative analysis of data from two…
Descriptors: Comparative Analysis, School Effectiveness, Institutional Evaluation, Foreign Countries
Joshua Bleiberg; Carly D. Robinson; Evan Bennett; Susanna Loeb – Annenberg Institute for School Reform at Brown University, 2025
Persistent gender disparities in STEM fields, even when young girls perform as well in STEM in school as boys, highlight the potential importance of preconceived views of STEM work in these difference and the potential need for role models to upend these views. In this study, we investigate whether female math tutors positively influence girls'…
Descriptors: Gender Differences, Gender Issues, Sex Stereotypes, STEM Education
Vuorinen, Kaisa; Hietajärvi, Lauri; Uusitalo, Lotta – Scandinavian Journal of Educational Research, 2021
Previous research has shown that there is a link between usage of strengths and various positive outcomes, such as finding meaning and happiness in life. In our present study, we aimed to find out how usage of strengths is connected to general happiness with school-related factors as mediating variables. 418 Finnish students aged 10-16 filled a…
Descriptors: Learner Engagement, Psychological Patterns, Correlation, Models
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
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
Bos, Johannes M.; Graczewski, Cheryl; Dhillon, Sonica; Auchstetter, Amelia; Cassasanto-Ferro, Julia; Kitmitto, Sami – American Institutes for Research, 2022
The purpose of this study is to evaluate the implementation and impacts of the Building Assets, Reducing Risks (BARR) model in its first year of implementation in 66 schools across the U.S. and to document scale-up progress during the Investing in Innovation (i3) grant period (2017-2021). The impact evaluation included 21,529 9th grade students…
Descriptors: Program Effectiveness, Grade 9, Secondary School Students, Secondary School Teachers
Hatlevik, Ove Edvard; Guðmundsdóttir, Gréta Björk; Loi, Massimo – Journal of Information Technology Education: Research, 2015
The purpose of this study was to examine factors predicting lower secondary school students' digital competence and to explore differences between students when it comes to digital competence. Results from a digital competence test and survey in lower secondary school will be presented. It is important to learn more about and investigate what…
Descriptors: Predictor Variables, Secondary School Students, Technological Literacy, Competence
Shneyderman, Aleksandr; Froman, Terry – Research Services, Miami-Dade County Public Schools, 2015
In accordance with the federal No Child Left Behind (NCLB) law of 2001, 100% of students were expected to become proficient on state assessments of reading and mathematics by the end of 2013-2014 academic year. Schools that consistently failed to meet the NCLB's Adequate Yearly Progress requirements were subject to penalties. In 2011, the U.S.…
Descriptors: Educational Legislation, Federal Legislation, Standardized Tests, Academic Achievement
Jung, Jae Yup; McCormick, John; Gross, Miraca U. M. – Gifted Child Quarterly, 2012
This study developed and tested a new model of the forced choice dilemma (i.e., the belief held by some intellectually gifted students that they must choose between academic achievement and peer acceptance) that incorporates individual-level cultural orientation variables (i.e., vertical allocentrism and vertical idiocentrism). A survey that had…
Descriptors: Academically Gifted, Structural Equation Models, Academic Achievement, Peer Acceptance
Massachusetts Department of Elementary and Secondary Education, 2013
The Massachusetts Department of Elementary and Secondary Education (Department) created the grades 1-12 Early Warning Indicator System (EWIS) in response to district interest in the Early Warning Indicator Index (EWII) that the Department previously created for rising grade 9 students. Districts shared that the EWII data were helpful, but also…
Descriptors: Dropout Prevention, Risk, Models, Identification
Jackson, C. Kirabo – National Bureau of Economic Research, 2013
Unlike in elementary school, high-school teacher effects may be confounded with both selection to tracks and unobserved track-level treatments. I document sizable confounding track effects, and show that traditional tests for the existence of teacher effects are likely biased. After accounting for these biases, high-school algebra and English…
Descriptors: Teacher Influence, Value Added Models, Mathematics Instruction, Algebra
Mac Iver, Martha Abele; Messel, Matthew – Council of the Great City Schools, 2012
This study of high school outcomes in the Baltimore City Public Schools builds on substantial prior research on the early warning indicators of dropping out. It sought to investigate whether the same variables that predicted a non-graduation outcome in other urban districts--attendance, behavior problems, and course failure--were also significant…
Descriptors: Academic Achievement, Grade Point Average, Enrollment, Behavior Problems
The Impact of Teachers' Characteristics and Self-Reported Practices on Students' Algebra Achievement
Cope, Liza M. – ProQuest LLC, 2013
This study examined the impact of teachers' characteristics and self-reported practices on students' Algebra achievement while controlling for students' characteristics. This study is based on the secondary analysis of data collected from a nationally representative sample of 9 th grade students and their mathematics teachers during…
Descriptors: Teacher Characteristics, Educational Practices, Measurement Techniques, Algebra
Lekholm, Alli Klapp; Cliffordson, Christina – Educational Research and Evaluation, 2009
The purpose of the study was to investigate how different student characteristics such as gender influence grades. In order to answer these questions, multivariate techniques were used. The data derive from The Gothenburg Educational Longitudinal Database (GOLD), and the subjects were 99,070 ninth-grade students born in 1987. The analyses were…
Descriptors: Grades (Scholastic), Academic Achievement, Student Motivation, Student Characteristics
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
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