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Bryan, Leah N.; Brener, Nancy; Barker, Lawrence; Lo, Annie; Underwood, J. Michael – Health Education Journal, 2021
Objective: After the discontinuation of School Health Policies and Practices Study (SHPPS) in 2016, the US Centers for Disease Control and Prevention (CDC) began exploring innovative ways to gather school health information using existing surveillance systems. School Health Profiles (Profiles) is a school-based system of surveys that monitors…
Descriptors: School Policy, School Health Services, State Agencies, Data Collection
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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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Aksoy, Esra; Narli, Serkan; Aksoy, Mehmet Akif – International Journal of Research in Education and Science, 2018
In the identification process, there may be gifted students who may be unnoticed or students who are misdiagnosed and are disappointed. In this context, this study is a step that may solve these two problems about the identification of mathematically gifted students with the help of data mining, which is data analysis methodology that has been…
Descriptors: Academically Gifted, Talent Identification, Data Collection, Mathematics Instruction
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Rihtaršic, David; Avsec, Stanislav; Kocijancic, Slavko – International Journal of Technology and Design Education, 2016
The purpose of this paper is to investigate whether the experiential learning of electronics subject matter is effective in the middle school open learning of robotics. Electronics is often ignored in robotics courses. Since robotics courses are typically comprised of computer-related subjects, and mechanical and electrical engineering, these…
Descriptors: Experiential Learning, Middle School Students, Electronics, Robotics
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Knowles, Jared E. – Journal of Educational Data Mining, 2015
The state of Wisconsin has one of the highest four year graduation rates in the nation, but deep disparities among student subgroups remain. To address this the state has created the Wisconsin Dropout Early Warning System (DEWS), a predictive model of student dropout risk for students in grades six through nine. The Wisconsin DEWS is in use…
Descriptors: Dropouts, Models, Prediction, Risk
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Idil, Feriha Hande; Narli, Serkan; Aksoy, Esra – International Journal of Education in Mathematics, Science and Technology, 2016
The aim of this study is to examine middle school students' attitude towards mathematics in the context of their mathematic learning preferences using data mining which is data analysis methodology that has been successfully used in different areas including educational domains. "How do I actually learn?" questionnaire and attitude scale…
Descriptors: Mathematics Instruction, Middle School Students, Student Attitudes, Secondary School Mathematics
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Hintz, Eric G.; Hintz, Maureen L.; Lawler, M. Jeannette – Journal of Astronomy & Earth Sciences Education, 2015
As part of an effort to improve students' knowledge of constellations and bright stars in an introductory level descriptive astronomy survey course, we measured the baseline knowledge that students bring to the class and how their score evolve over the course of the semester. This baseline is needed by the broader astronomy education research…
Descriptors: Secondary School Students, Grade 9, Undergraduate Students, Nonmajors
Pilson, Sylvia Yvonne Reddick – ProQuest LLC, 2013
The curriculum for elementary students has undergone a significant change in the past decade. This led to an increased expectation for higher academic performance for fifth grade students in the areas of reading and mathematics. Teachers seek innovative ways to provide instructional practices within their classrooms that will aid success for all…
Descriptors: Single Sex Classes, Elementary School Students, Reading Achievement, Mathematics Achievement
Zank, Alicia A. – Online Submission, 2015
The purpose of the study is to determine what effects explicit and systematic math intervention instruction will have on student's performance on math assessments. The study will focus on a small group of fifth grade students that have been identified as needing targeted intervention (tier 2) and intensive interventions (tier 1) through the…
Descriptors: Intervention, Mathematics Instruction, Grade 5, Response to Intervention
DeNome, Evonne C. – Online Submission, 2015
This quantitative study reviews the impact on student achievement following professional development on the principles of formative assessment. The study compared mathematics and reading performance data from student populations with teachers who received training in formative assessment to performance data from student populations with teachers…
Descriptors: Academic Achievement, Faculty Development, Formative Evaluation, Hypothesis Testing
Clifford, Betsey A. – ProQuest LLC, 2016
The Massachusetts Department of Elementary and Secondary Education (DESE) released proposed Science and Technology/Engineering standards in 2013 outlining the concepts that should be taught at each grade level. Previously, standards were in grade spans and each district determined the method of implementation. There are two different methods used…
Descriptors: Middle Schools, Science Curriculum, Curriculum Design, Instructional Design
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Selmer, Sarah J.; Rye, James A.; Malone, Elizabeth; Fernandez, Danielle; Trebino, Kathryn – Science Activities: Classroom Projects and Curriculum Ideas, 2014
Statistical literacy is essential to scientific literacy, and the quest for such is best initiated in the elementary grades. The "Next Generation Science Standards and the Common Core State Standards for Mathematics" set forth practices (e.g., asking questions, using tools strategically to analyze and interpret data) and content (e.g.,…
Descriptors: Scientific Literacy, Elementary School Students, Science Instruction, Mathematics Instruction
Lloyd, Sonya LaShawn – ProQuest LLC, 2014
Providing academic assistance to English Language Learners (ELLs) is varied and often ineffective. The purpose of this causal-comparative study was to determine if there was a relationship between 9th grade students' performance on the High School Graduation Exam (HSGE) in reading and language and the Push-in and Pull-out models of instruction.…
Descriptors: English Language Learners, Secondary School Students, Grade 9, Program Evaluation
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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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Wright, Vivian H.; Burnham, Joy J. – Professional Counselor, 2012
This study sought to develop meaningful and engaging virtual cyberbullying scenarios in digital environments that reflect the educational needs of today's adolescents. In order to inform and script these scenarios, a threestage study was implemented with middle schools. This paper describes how data collected in each stage informed the…
Descriptors: Bullying, Prevention, Computer Mediated Communication, School Counselors
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