Author: Newton, Sarah

Upcoming RMME/CEPARE Colloquium (4/19): Robert Schoen, “Lessons from the Field: Working with Practitioners to Create Opportunities for Educational Research”

RMME/CEPARE Colloquium

Lessons from the Field: Working with Practitioners to Create Opportunities for Educational Research

Dr. Robert Schoen

Florida State University

Friday, April 19, at 11AM ET

Gentry 144

Dr. Robert Schoen is an associate professor of mathematics education in the School of Teacher Education and the associate director of the Florida Center for Research in Science, Technology, Engineering, and Mathematics in the Learning Systems Institute at Florida State University. Dr. Rob Schoen has directed more than one-dozen randomized controlled trials of educational interventions in applied settings. He will share stories and examples about how he decides what research opportunities to pursue and some of the strategies he has used to support successful implementation of those studies over a long period.

 

*Please contact Dr. Sarah D. Newton at sarah.newton@uconn.edu for access information to remotely attend this talk*

 

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Upcoming RMME/CEPARE Colloquium (4/18): Robert Schoen, “Designing a Measure of Implementation for a Non-Prescriptive Mathematics Intervention”

RMME/CEPARE Colloquium

Designing a Measure of Implementation for a Non-Prescriptive Mathematics Intervention

Dr. Robert Schoen

Florida State University

Thursday, April 18, at 3PM ET

Gentry 142

Dr. Robert Schoen is an associate professor of mathematics education in the School of Teacher Education and the associate director of the Florida Center for Research in Science, Technology, Engineering, and Mathematics in the Learning Systems Institute at Florida State University. This talk will address the various phases in the development, use, and validation of an instrument designed to measure implementation of Cognitively Guided Instruction (CGI) during mathematics instruction. Several experimental trials of CGI-based teacher professional development programs indicate that the CGI programs increased student achievement. But the CGI programs did not offer clear guidance about how to teach mathematics, complicating the process of measure development and validation.

 

*Please contact Dr. Sarah D. Newton at sarah.newton@uconn.edu for access information to remotely attend this talk*

 

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Upcoming RMME/STAT Colloquium (4/12): Dale Zimmerman, “In Defense of Unrestricted Spatial Regression”

RMME/STAT Joint Colloquium

In Defense of Unrestricted Spatial Regression

Dr. Dale Zimmerman

University of Iowa

Friday, April 12, at 11AM ET

AUST 202

http://tinyurl.com/rmme-Zimmerman

Spatial regression is commonly used in the environmental, social, and other sciences to study relationships between spatially referenced data and other variables, and to predict variables at locations where they are not observed. Spatial confounding, i.e., collinearity between fixed effects and random effects in a spatial regression model, can adversely affect estimates of the fixed effects, and it has been argued that something ought to be done to “fix” it. Restricted spatial regression methods have been proposed as a remedy for spatial confounding. Such methods replace inference for the fixed effects of the original spatial regression model with inference for those effects under a model in which the random effects are restricted to a subspace orthogonal to the column space of the fixed effects model matrix; thus, they “deconfound” the two types of effects. We prove, however, using classical linear model theory, that frequentist inference for the fixed effects of a deconfounded linear model is generally inferior to that for the fixed effects of the original spatial linear model; in fact, it is even inferior to inference for the corresponding nonspatial model (i.e., inference based on ordinary least squares). We show further that deconfounding also leads to inferior predictive inferences. Based on these results, we argue against the use of restricted spatial regression, in favor of plain old (unrestricted) spatial regression. This is joint work with Jay Ver Hoef of NOAA National Marine Mammal Laboratory and was published in 2022 in The American Statistician.

 

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Upcoming RMME/STAT Colloquium (3/29): Zhiliang Ying, “Some Recent Developments in Educational and Psychological Measurement”

RMME/STAT Joint Colloquium

Some Recent Developments in Educational and Psychological Measurement

Dr. Zhiliang Ying
Columbia University

Friday, March 29, at 11AM ET

In Person: AUST 202

Virtual: https://tinyurl.com/rmme-Ying

Measurement theory plays a foundational role in educational and psychological assessment. Classical item response theory (IRT) models are widely used in the design and analysis of educational tests and psychological surveys that involve multiple choice questions. In this talk, we will first discuss some recent progress related to variations and extensions of the classical IRT model-based methods. We will then turn to the modeling and analysis of process data arising from complex problem-solving items, which are increasingly being adopted in large scale educational assessment. New developments, including statistical models and machine learning algorithms, will be presented. Examples from educational testing and psychological assessment will be used for illustration.

 

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RMME Hosts Exhibits Booth at EPA 2024 (Feb 29 – March 2)

Are you traveling to Philadelphia, PA for the Eastern Psychological Association’s 2024 annual meeting? RMME is–and we’d love to meet you! Join us at booth #20 (Franklin Hall A, Downtown Marriott), for an opportunity to chat personally with Dr. Sarah D. Newton, the Associate Director of RMME Online Programs!

 

 

Dr. Bianca Montrosse-Moorhead To Give Evaluation Café Talk, 2/28

What are RMME faculty up to? Check out Dr. Bianca Montrosse-Moorhead’s Evaluation Café talk on February 28, 2024, at 12pm ET, to find out! Her featured presentation is entitled, “Modernizing Evaluation’s Cartography, Architectural Blueprint, and Definition”. Register here to reserve your spot in this excellent session: http://tinyurl.com/EvalCafe2024-BMM

 

ABSTRACT: In this Evaluation Café presentation, Dr. Montrosse-Moorhead will preview the Country of the Mind map, where the Evaluation Building is located on this map, and a close-up of the building itself. None of these have been visualized before in published scholarship. Dr. Montrosse-Moorhead will also share the proposed amended definition, why it is necessary, and the implications of adopting the amended definitions for evaluation practice; the implications for the instruments, methods, and techniques we use; and the implications for evaluation’s theoretical and metatheoretical scholarship.

 

Check out Dr. Bianca Montrosse-Moorhead’s upcoming Evaluation Café talk, on Februay 28, at 12pm!

Dr. Bianca Montrosse-Moorhead Serves on AI & Evaluation Panel, 2/21

On February 21, 2024, Dr. Bianca Montrosse-Moorhead (Associate Professor in RMME Programs) joined MERL Tech’s Natural Language Processing Community of Practice (NLP-CoP) to discuss the impact of Artificial Intelligence (AI) on future evaluation practice. This exciting panel also included other experts in the field, including Sarah Mason, Izzy Thornton, Tarek Azzam, Sahiti Bhaskara, and Blake Beckmann. The session covered a wide variety of topics, ranging from the birth of AI to consulting challenges and AI competencies. Click here for more information on the talk and to register for part two of this discussion series!

RMME Programs Celebrates its Fall 2023 Grads!!!

UConn’s Research Methods, Measurement, & Evaluation (RMME) Programs are excited to celebrate our newest graduates from RMME Master’s degree program and RMME’s Graduate Certificate in Program Evaluation program! We cannot wait to see all of the many ways you will make us proud, as a new RMME graduate! Congratulations, all, from the Research Methods, Measurement, & Evaluation Community!

Celebrating Our Fall 2023 RMME Programs Graduates! Congratulations to all!
Celebrating Our Fall 2023 RMME Programs Graduates! Congratulations to all!