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Humphrey, Stephen E., Ed.; LeBreton, James M., Ed. – APA Books, 2019
Organizational relationships are complex. Employees do their work as individuals, but also as members of larger teams. They exist within various social networks, both within and spanning organizations. Multilevel theory is at the core of the organizational sciences, and unpacking multilevel relationships is fundamental to the challenges faced…
Descriptors: Hierarchical Linear Modeling, Theories, Institutional Research, Social Networks
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Lindvall, Jannika – International Journal of Science and Mathematics Education, 2017
This article reports on two professional development programs for mathematics teachers and their effects on student achievement. The projects' design and their implementation within a larger municipality in Sweden, working together with over 90 teachers and 5000 students in elementary school, are described by using a set of core critical features…
Descriptors: Faculty Development, Mathematics Teachers, Mathematics Achievement, Foreign Countries
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Lu, Owen H. T.; Huang, Anna Y. Q.; Huang, Jeff C. H.; Lin, Albert J. Q.; Ogata, Hiroaki; Yang, Stephen J. H. – Educational Technology & Society, 2018
Blended learning combines online digital resources with traditional classroom activities and enables students to attain higher learning performance through well-defined interactive strategies involving online and traditional learning activities. Learning analytics is a conceptual framework and is a part of our Precision education used to analyze…
Descriptors: Blended Learning, Educational Technology, Technology Uses in Education, Data Collection
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Kartal, Ozgul; Dunya, Beyza Aksu; Diefes-Dux, Heidi A.; Zawojewski, Judith S. – International Journal of Research in Education and Science, 2016
Critical to many science, technology, engineering, and mathematics (STEM) career paths is mathematical modeling--specifically, the creation and adaptation of mathematical models to solve problems in complex settings. Conventional standardized measures of mathematics achievement are not structured to directly assess this type of mathematical…
Descriptors: Mathematical Models, STEM Education, Standardized Tests, Mathematics Achievement
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
Olaniyi, Olusola Ademola; Olaniyi, Olanike Oluwakemi; Olaniyi, Oluwasemire Ayotunji; Lowe-Nicolas, Serign Omar; Dumeh, Raymond Nwinkom; Omojowo, Adetokunbo Omotade – Online Submission, 2015
(Purpose) The purpose of this study was to examine the effect of math teacher program on students' performances in math teacher training programs in five selected colleges in North Carolina. (Methodology) This study collected 300 data (150 pre-tests and 150 post-tests) data of college students enrolled in the five selected colleges. The ANOVA and…
Descriptors: Mathematics, Mathematics Instruction, Mathematics Teachers, Academic Achievement
Maleyko, Glenn – ProQuest LLC, 2011
Spurred by the "No Child Left Behind Act" of 2001, virtually every educational reform program now includes an accountability component that requires sound data collection and reporting (NCLB, 2002, section 101). Drawing from empirically based and theoretical literature in the field, this dissertation examines Adequate Yearly Progress…
Descriptors: Academic Achievement, Educational Indicators, School Effectiveness, Accountability
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Ingels, Steven J.; Pratt, Daniel J.; Wilson, David; Burns, Laura J.; Currivan, Douglas; Rogers, James E.; Hubbard-Bednasz, Sherry – National Center for Education Statistics, 2007
The Data File Documentation reports on the procedures and methodologies employed during the Education Longitudinal Study of 2002 base year, first, and second follow-ups, with special emphasis on the second follow-up (2006). The document is designed to provide guidance for users of the restricted-use data as released in Electronic Codebook (ECB)…
Descriptors: Longitudinal Studies, Research Methodology, High School Students, Data Collection
Tieso, Carol – Journal for the Education of the Gifted, 2005
The purpose of this study was to examine the effects of curricular (textbook, revised, and differentiated) and grouping (whole, between, and within-class) practices on intermediate students' achievement in mathematics. A pretest-posttest, quasi-experimental design using a stratified random sample of 31 teachers and their students (N = 645) was…
Descriptors: Grouping (Instructional Purposes), Educational Practices, Pretests Posttests, Quasiexperimental Design
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection