Conferences and Workshops

Multilevel Modeling in R

DUPRI will be hosting a workshop, Multilevel Modeling in R, on April 25. This 4-hour training will cover the basics of running multilevel models in R, including specification and syntax, interpretation and displaying of results, and model checking and comparison. Some prior experience using R is recommended.

Working with Big Data, SQL, and Cloud Computing using R

DUPRI will be hosting a virtual workshop, “Working with Big Data, SQL, and Cloud Computing using R,” on February 28. This 2-hour training provides an introduction to working with remote structured databases, performing SQL queries, and accessing and using cloud computing services like Amazon Web Services and Google Cloud Compute Engine. The training will focus specifically on the R programming language. Some prior experience using R is recommended.

Generalized Linear Models in R

DUPRI will be hosting a workshop, Generalized Linear Models in R, on November 24. This 4-hour training will cover the basics of running GLMs in R, including specification and syntax, interpretation and displaying of results, and model checking. We will examine binary, count, and categorical models. Some prior experience using R is recommended.
 
Session Details
Date: Wednesday, November 22
Location: Zoom
9:00 AM – 11:00 AM: Modeling binary outcomes
11:00 AM – 11:10 AM: Break

From Curiosity to Confidence: Building Engagement in Early Childhood Classrooms

Engagement is the cornerstone of effective early childhood education, fostering curiosity, confidence, and a strong foundation for future success. This session highlights how the Playful Learning model combines research and hands-on practices to create classrooms that captivate and inspire young learners, while preparing them for success as they transition into Kindergarten and the K-12 environment.

EdSHARe: Repurposing Two Large, Representative, and Diverse Education Cohort Studies for Research on How Education Shapes Later-Life Health and Cognition

The US Department of Education conducts cohort studies every decade on nationally representative high school students, collecting data from various sources. An interdisciplinary team of researchers has repurposed two cohort studies from the 1970s (National Longitudinal Study of the High School Class (NLS-72)) and 1980s (High School and Beyond (HSB)) to study aging and later life well-being. These longitudinal studies provide an excellent opportunity for STEM education researchers to learn about the long-term impact of a wealth of educational experiences. This talk will provide information about the 2021 HSB and 2025 NLS-72 follow-ups, featuring measures of cognitive functioning, health, and socioeconomic outcomes, along with surveys, cognitive assessments, health visits, biomarkers, and administrative records. It will also explain how to gain access to the data. These efforts are part of the Education Studies for Healthy Aging Research (EdSHARe) project. More information is available at https://edshareproject.org/.