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Mark Wilson – Journal of Educational and Behavioral Statistics, 2024
This article introduces a new framework for articulating how educational assessments can be related to teacher uses in the classroom. It articulates three levels of assessment: macro (use of standardized tests), meso (externally developed items), and micro (on-the-fly in the classroom). The first level is the usual context for educational…
Descriptors: Educational Assessment, Measurement, Standardized Tests, Test Items
Kong, Wei; Ni, Shawn – Educational Researcher, 2023
The growing fiscal cost of K-12 teacher pension plans and pension-induced labor market distortions have led to calls for teacher pension reforms. Dynamic structural econometric models are a useful way to analyze the fiscal and staffing consequences of current and alternative retirement plans. This article lays out the benefits of the structural…
Descriptors: Economics, Statistical Analysis, Teacher Retirement, Retirement Benefits
Regional Educational Laboratory Mid-Atlantic, 2021
Predicting incoming enrollment is an ongoing concern for the School District of Philadelphia (SDP) and similar districts with school choice systems, substantial student mobility, or both. Inaccurate predictions can disrupt learning as districts adjust to enrollment fluctuations by reshuffling teachers and students well into the fall semester. This…
Descriptors: Enrollment, Enrollment Projections, School Districts, Statistical Analysis
Leckie, George – Journal of Educational and Behavioral Statistics, 2018
The traditional approach to estimating the consistency of school effects across subject areas and the stability of school effects across time is to fit separate value-added multilevel models to each subject or cohort and to correlate the resulting empirical Bayes predictions. We show that this gives biased correlations and these biases cannot be…
Descriptors: Value Added Models, Reliability, Statistical Bias, Computation
Regional Educational Laboratory Southeast, 2020
More than half of North Carolina's grade 3 students struggle with reading. The percentage of students scoring below proficient in reading at the end of grade 3 was 55 percent in 2017/18. That percentage has remained largely unchanged, at above 50 percent, since 2013/14, when North Carolina passed its K-3 Read to Achieve literacy act. Read to…
Descriptors: Elementary School Students, Identification, Reading Achievement, Reading Skills
Groth, Randall E.; Butler, Jaime; Nelson, Delmar – Teaching Statistics: An International Journal for Teachers, 2016
Students can struggle to understand and use terms that describe probabilities. Such struggles lead to difficulties comprehending classroom conversations. In this article, we describe some specific misunderstandings a group of students (ages 11-12) held in regard to vocabulary such as "certain", "likely" and…
Descriptors: Statistical Analysis, Statistics, Probability, Misconceptions
Putman, Rebecca – AERA Online Paper Repository, 2016
Randomized control trials are considered the gold standard for conducting research and estimating causal effects; however, educational research rarely lends itself to experimental design and true randomization. In recent years, there has been a growing interest in finding new approaches to estimate causal effects in nonrandomized studies in…
Descriptors: Educational Research, Computation, Statistical Analysis, Observation
Ramful, Ajay; Ho, Siew Yin – Australian Primary Mathematics Classroom, 2015
In this article, Ajay Ramful and Siew Yin Ho explain the meaning of quantitative reasoning, describing how it is used in the to solve mathematical problems. They also describe a diagrammatic approach to represent relationships among quantities and provide examples of problems and their solutions.
Descriptors: Mathematics Instruction, Problem Solving, Statistical Analysis, Mathematical Logic
Perry, Rebecca R.; Lewis, Catherine C. – Teaching Children Mathematics, 2017
The authors recently conducted a randomized controlled trial that showed a significant impact of teachers' lesson study, supported by mathematical resources, on both teachers' and students' understanding of fractions. The research and mathematical resources are described in the second part of this article. First the authors examine some of the…
Descriptors: Randomized Controlled Trials, Mathematics Instruction, Fractions, Mathematical Concepts
Wang, Jing-Ru; Chen, Shin-Feng – International Journal of Science and Mathematics Education, 2016
This article reports on the development of an online dynamic approach for assessing and improving students' reading comprehension of science texts--the dynamic assessment for reading comprehension of science text (DARCST). The DARCST blended assessment and response-specific instruction into a holistic learning task for grades 5 and 6 students. The…
Descriptors: Computer Assisted Testing, Reading Comprehension, Science Instruction, Grade 5
Reddy, Linda A.; Dudek, Christopher M.; Lekwa, Adam – Theory Into Practice, 2017
This article describes the theory, key components, and empirical support for the Classroom Strategies Coaching (CSC) Model, a data-driven coaching approach that systematically integrates data from multiple observations to identify teacher practice needs and goals, design practice plans, and evaluate progress towards goals. The primary aim of the…
Descriptors: Educational Strategies, Coaching (Performance), Models, Formative Evaluation
Reinholz, Daniel L.; Shah, Niral – Journal for Research in Mathematics Education, 2018
Equity in mathematics classroom discourse is a pressing concern, but analyzing issues of equity using observational tools remains a challenge. In this article, we propose equity analytics as a quantitative approach to analyzing aspects of equity and inequity in classrooms. We introduce a classroom observation tool that focuses on relatively…
Descriptors: Teaching Methods, Mathematics Instruction, Equal Education, Statistical Analysis
Roscoe, Matt B. – Mathematics Teaching in the Middle School, 2016
Instead of reserving the study of probability and statistics for special fourth-year high school courses, the Common Core State Standards for Mathematics (CCSSM) takes a "statistics for all" approach. The standards recommend that students in grades 6-8 learn to summarize and describe data distributions, understand probability, draw…
Descriptors: Data Analysis, Probability, Statistics, Mathematics
Hobbs, Graham – Oxford Review of Education, 2016
There are large social class inequalities in educational achievement in the UK. This paper quantifies the contribution of one mechanism to the production of these inequalities: social class differences in school "effectiveness," where "effectiveness" refers to a school's impact on pupils' educational achievement (relative to…
Descriptors: Social Class, Social Differences, Academic Achievement, Foreign Countries
Smith, Carmen Petrick; Kenlan, Kris – Mathematics Teaching in the Middle School, 2016
Students' experiences with statistics and data analysis in middle school are often limited to little more than making and interpreting graphs. Although students may develop fluency in statistical procedures and vocabulary, they frequently lack the skills necessary to apply statistical reasoning in situations other than clear-cut textbook examples.…
Descriptors: Mathematics Instruction, Middle School Students, Secondary School Mathematics, Statistical Analysis

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