Seminar 36 -- LIVESTREAM: The Interaction of Indoor Environmental Quality Variables in Schools: Health and Performance Impacts

This product is a zip file that contains files that consist of PowerPoint slides synchronized with the audio-recording of the speaker, PDF files of the slides, and audio only (mp3 format) as noted.

A team at the University of Nebraska–Lincoln gathered indoor environmental quality data in 220 K-12 classrooms at four grade levels from 2015-2017. School districts provided student demographics and math and reading achievement test results. Discipline-specific multivariate linear regression models were developed. These models were then combined to examine all indoor environmental conditions. Significant relationships from the cumulative model between acoustic, lighting, IAQ and thermal comfort metrics and student outcomes are presented and highlight how indoor environmental quality may be optimized to support student learning positively in schools. [Work supported by the United States Environmental Protection Agency Grant Number R835633.]

1. Healthy K-12 Schools: Correlations from a Cumulative Model That Includes Acoustic, Lighting, Indoor Air Quality, and Thermal Comfort Conditions and Student Achievement< /br> Lily Wang, PhD, University of Nebraska-Lincoln, Omaha, NE
2. Healthy K-12 Schools: Correlations between Measured Indoor Air Quality and Thermal Comfort Conditions and Student Achievement< /br> Lily Wang, PhD, Member, University of Nebraska-Lincoln, Omaha, NE