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Columbia University

Associated IES Content

Grant

Efficient and Flexible Tools for Complex Multilevel and Latent Variable Modeling in Education Research

The project team developed improved tools for fitting statistical models in complex settings, specifically hierarchical Bayesian models for handling multilevel data including nested and non-nested groupings, latent variables, and large numbers of parameters.
Federal funding program:
Statistical and Research Methodology in Education
Award number:
R305D190048
Grant

Improving Understanding of Fractions

The purpose of this project is to identify optimal instructional approaches for improving elementary and middle school students' understanding of fraction magnitudes and middle school students' and pre-service teachers' understanding of fraction arithmetic. Fraction understanding is critical for success in algebra, trigonometry, chemistry, physics, and other mathematics and science subject areas, yet many students struggle to acquire adequate proficiency with fractions. In this project, the ...
Federal funding program:
Education Research Grants
Award number:
R305A180514
Grant

Learning from Errors

The purpose of this project is to develop and pilot test an intervention for using students' errors to enhance their learning in mathematics, both by focusing instruction on the problem areas that are most in need of attention, and by examining and correcting the missteps that underlie students' errors. Recent research has shown that committing errors, as long as those errors are corrected, enhances learning as compared to error-free learning. The research team will address how to use errors...
Federal funding program:
Education Research Grants
Award number:
R305A150467
Grant

Solving Difficult Bayesian Computation Problems in Education Research Using STAN

Some statistical models used in education research are complex. This complexity arises in part because the data structures that underlie these statistical models involve multiple nested (i.e., cross-classified multilevel models) and non-nested groupings (i.e., partially-nested designs).
Federal funding program:
Statistical and Research Methodology in Education
Award number:
R305D140059
Grant

Practical Tools for Multilevel Hierarchical Modeling in Education Research

In this project, the researchers developed and tested new approaches to support applied researchers' use of Bayesian modal estimation (also called maximum a posteriori estimation) for multilevel models. The goal of this methodological innovation was to make it easier for applied researchers to avoid nonsensical results when they use multilevel models.
Federal funding program:
Statistical and Research Methodology in Education
Award number:
R305D100017
Grant

Getting Ready for School: An Integrated Curriculum to Help Teachers and Parents Support Preschool Children's Early Literacy, Math, and Self-Regulation Skills

Preschool children need language and literacy, mathematics, and self-regulation skills in order to be ready for school. While many curricula focus on one or two of these skills, none takes a fully integrated approach to supporting parents and early childhood teachers in fostering these skills in young children. The purpose of this project is to further develop and expand an existing school readiness curriculum, Getting Ready for School (GRS). The current version of the curriculum targets par...
Federal funding program:
Education Research Grants
Award number:
R305A120783
Grant

Practical Solutions for Missing Data and Imputation

Missing data are ubiquitous in education research studies. The literature discusses the shortcoming of simple missing data approaches such as complete case analysis and inclusion of indicators for missing data; however, the use of these practices remains widespread. Multiple imputation is becoming an increasingly widely used approach to handling missing data but there are outstanding research questions regarding the most reliable methods for implementing it and when it is worthwhile to inves...
Federal funding program:
Statistical and Research Methodology in Education
Award number:
R305D090006
Grant

The Effects of No Child Left Behind on Student Outcomes and School Services

The purpose of this project is to study whether the incentives built into the No Child Left Behind Act (NCLB) have a net positive impact on students' academic achievement, students' non-academic outcomes, and school resource allocation. Under NCLB, states annually determine whether public schools satisfy Adequate Yearly Progress (AYP) based on the fraction of students demonstrating proficiency on a statewide exam. Public schools have strong incentives to satisfy AYP: failure triggers sanctio...
Federal funding program:
Education Research Grants
Award number:
R305A090032
Grant

The Effect of Metacognition on Children's Control of Their Study and of Their Cognitive Processes

This project will examine children's metacognitive skills, or the ability to assess one's own thought and learning processes. By examining children's use of these skills and strategies, the researchers will then be able to devise interventions addressing weaknesses in this area and remediate them in order to improve learning. By building metacognitive skills and control strategies, children could be better positioned to assess their own knowledge so that they can more effectively allocate ...
Federal funding program:
Education Research Grants
Award number:
R305H060161
Grant

Study Enhancement Based on Principles of Cognitive Science

In this project, the goal was to incorporate the results of their experiments into a computer-assisted program that would support the learning of science, social science, and advanced English vocabulary terms for at-risk middle school children. The research team proposed experiments designed to determine whether making errors during learning helps or hinders mastery of vocabulary words and to identify the most effective use of study time in order to ensure that students master an entir...
Federal funding program:
Education Research Grants
Award number:
R305H030175
Grant

The Influence of Students' Intelligence Beliefs On Attention, Information Processing, and Learning: A Neurophysiological Analysis

he researchers proposed to use electrophysiological techniques to examine (a) how students with different beliefs about intelligence attend to and process information in difficult learning tasks and (b) whether modifying these beliefs supports learning despite task difficulty and stereotypes about intelligence.
Federal funding program:
Education Research Grants
Award number:
R305H020031
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