A Prototype Online Platform for Exploring Post-COVID Academic Recovery in U.S. Public Schools: An Example from California Public Schools

Author

Nicole Baz, The Graduate Center, City University of New YorkFollow

Date of Degree

2-2025

Document Type

Capstone Project

Degree Name

M.S.

Program

Data Analysis & Visualization

Advisor

Howard T. Everson

Subject Categories

Educational Assessment, Evaluation, and Research | Social Statistics

Keywords

education statistics, data visualization, data analysis, COVID-19, learning loss

Abstract

This project introduces a prototype online platform designed to analyze the effects of the COVID-19 pandemic on academic achievement in public schools and districts across the United States. Leveraging data from the Stanford Education Data Archive (SEDA) and the National Center for Education Statistics (NCES), the platform enables users to examine recovery rates as measured by standardized test scores. California serves as a proof-of-concept case study, demonstrating the platform's ability to explore recovery patterns in Reading Language Arts and Mathematics between 2019 and 2023. The platform provides interactive data visualizations and dashboards that facilitate analyses based on district size, resources, and demographics. Designed for educators, policymakers, and researchers, it empowers data-driven decision-making to address inequities exacerbated by the pandemic. This exploratory tool not only highlights disparities in academic recovery but also establishes a scalable model for investigating educational trends and informing interventions nationwide.

Recommended Citation

Baz, Nicole, "A Prototype Online Platform for Exploring Post-COVID Academic Recovery in U.S. Public Schools: An Example from California Public Schools" (2025). CUNY Academic Works.
https://academicworks.cuny.edu/gc_etds/6116