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Munise Seçkin Kapucu; I?brahim Özcan; Hülya Özcan; Ahmet Aypay – International Journal of Technology in Education and Science, 2024
Our research aims to predict students' academic performance by considering the variables affecting academic performance in science courses using the deep learning method from machine learning algorithms and to determine the importance of independent variables affecting students' academic performance in science courses. 445 students from 5th, 6th,…
Descriptors: Secondary School Students, Science Achievement, Artificial Intelligence, Foreign Countries
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Hanson, Stephen José; Saunders, Stephanie; Aponte, Arcelio; Copeland, Robert; Nettles, Michael – ETS Research Report Series, 2020
The academic achievement gap is a persistent and pernicious educational challenge confounded with race and socioeconomic status. The achievement gap persists despite over three decades of interventions and federal, state, and local policies and initiatives meant to close it. We examine the achievement gap in one of the most diverse states in the…
Descriptors: Achievement Gap, Racial Differences, Ethnicity, Socioeconomic Status
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Thurlow, Martha L.; Wu, Yi-Chen; Lazarus, Sheryl S.; Ysseldyke, James E. – Exceptionality, 2016
Federal regulations indicate that the achievement gap must be closed between subgroups, including the gap between special education and non-special education students. We explored the ways in which achievement trends are influenced by three methods of reporting (cross-sectional, cohort-static, and cohort-dynamic). We also investigated (a) the ways…
Descriptors: Special Education, Achievement Gap, Mathematics Achievement, Change
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Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
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Morgan, Paul L.; Farkas, George; Hillemeier, Marianne M.; Maczuga, Steve – Educational Researcher, 2016
We examined the age of onset, over-time dynamics, and mechanisms underlying science achievement gaps in U.S. elementary and middle schools. To do so, we estimated multilevel growth models that included as predictors children's own general knowledge, reading and mathematics achievement, behavioral self-regulation, sociodemographics, other child-…
Descriptors: Science Instruction, Science Achievement, Achievement Gap, Regression (Statistics)
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Isenberg, Eric; Teh, Bing-ru; Walsh, Elias – Journal of Research on Educational Effectiveness, 2015
Researchers often presume that it is better to use administrative data from grades 4 and 5 than data from grades 6 through 8 for conducting research on teacher effectiveness that uses value-added models because (1) elementary school teachers teach all subjects to their students in self-contained classrooms and (2) classrooms are more homogenous at…
Descriptors: Teacher Effectiveness, Elementary School Students, Elementary School Teachers, Academic Achievement
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Grossman, Pam; Cohen, Julie; Ronfeldt, Matthew; Brown, Lindsay – Educational Researcher, 2014
In this study, we examined how the relationships between one observation protocol, the Protocol for Language Arts Teaching Observation (PLATO), and value-added measures shift when different tests are used to assess student achievement. Using data from the Measures of Effective Teaching Project, we found that PLATO was more strongly related to the…
Descriptors: Classroom Observation Techniques, Scores, Language Arts, Academic Achievement
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Vig, Rozy; Taylor, Megan W.; Star, Jon R.; Chao, Theodore – Society for Research on Educational Effectiveness, 2014
The concept of "implementation fidelity" is broadly used to capture the extent to which an intervention is executed as intended by the designers of the intervention (Century, Rudnick, & Freeman, 2010; Huntley, 2005, McNaught, Tarr, & Sears, 2010, Munter, 2010). Though implementation fidelity instruments are often used to assess…
Descriptors: Fidelity, Program Implementation, Barriers, Intervention
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Faria, Ann-Marie; Greenberg, Ariela; Meakin, John; Bichay, Krystal; Heppen, Jessica – Society for Research on Educational Effectiveness, 2014
Educators have long used test scores to make educational decisions, but only within the last decade has the availability of data been systematic (Abelman, Elmore, Even, Kenyon, & Marshall, 1999). In recent years, interest has spiked in data-driven decision making in education (Marsh, Pane, & Hamilton, 2006). With technological advances and…
Descriptors: Data Analysis, Academic Achievement, Urban Schools, Correlation
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Easterbrooks, Susan R.; Beal-Alvarez, Jennifer S. – American Annals of the Deaf, 2012
Historically, researchers have identified that reading outcomes for students in upper grades who are d/Deaf and hard of hearing (d/Dhh) have typically rested around the late 3rd to early 4th grade. In recent years, wide-scale state-level testing has called into question these prognostications. The authors conducted a descriptive, multiunit,…
Descriptors: Reading Achievement, Partial Hearing, Deafness, Measures (Individuals)
Ryoo, Ji Hoon; Hong, Saahoon – Society for Research on Educational Effectiveness, 2011
Due to the lack of effectiveness of the punitive school approach toward challenging behaviors (Luiselli, Putnam, Handler, & Feinberg, 2005; Reynolds, Skiba, Graham, Sheras, Conoley, & Garcia-Vazquez, 2006), public schools have searched for an innovative approach to better serve students who are at risk for academic failure and dropout/expulsion. A…
Descriptors: Middle Schools, Elementary Schools, Academic Failure, Standardized Tests
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Glen, Nicole J.; Smetana, Lara K. – Science and Children, 2010
"If someone were traveling to our area for the first time during this time of year, what would you tell them to bring to wear? Why?" This question was used to engage students in a guided-inquiry unit about how climate differs from weather. In this lesson, students explored local and national data sets to give "travelers" advice…
Descriptors: Scientific Research, Investigations, Scientific Principles, Data Analysis
Council of the Great City Schools, 2015
This report measures trends in performance among urban schools receiving federal School Improvement Grant (SIG) awards as part of the American Recovery and Reinvestment Act of 2009 (ARRA). The Council of the Great City Schools aims to document how member districts of the Council of the Great City Schools implemented SIG and specifically what…
Descriptors: Grants, Federal Legislation, Federal Aid, Educational Improvement
Edmunds, Kimberly A. – Online Submission, 2009
Access to a quality education is unevenly mapped by the demographic context of the communities in which public school students live. A growing body of research suggests that this geographic effect deeply challenges the goal of equalizing educational opportunities. This paper explores the relationship between students' neighborhood characteristics…
Descriptors: Educational Opportunities, Educational Quality, Neighborhoods, Census Figures
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Carmo, Mafalda, Ed. – Online Submission, 2017
This book contains a compilation of papers presented at the International Conference on Education and New Developments (END 2017), organized by the World Institute for Advanced Research and Science (W.I.A.R.S.). Education, in our contemporary world, is a right since we are born. Every experience has a formative effect on the constitution of the…
Descriptors: Educational Quality, Models, Vocational Education, Outcomes of Education
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