Thesis
Exploring the Correlation Between Occupied and Unoccupied Noise Levels in K-12 Classrooms
Laura Brill MS Thesis (2017), Architectural Engineering, University of Nebraska - Lincoln
What is it about?
We logged data on the acoustic conditions (as well as other indoor environmental conditions) in 220 occupied K-12 classrooms over six complete school days each. We then used machine learning to separate the logged sound level data into speech and non-speech clusters, allowing for deeper analysis and greater understanding of experienced speech and ambient noise levels in occupied classrooms. Furthermore, we've tied that data to performance on annual student achievement tests in math and language arts and found that lower sound levels in classrooms correlate to higher math achievement scores.
Why is it important?
The acoustic conditions of K-12 classrooms impact students’ abilities to understand and learn course material. If the clarity of aural communication is impeded, then students may not achieve their full potential and surpass the learning goals set for them. The ANSI S12.60 "Acoustical Performance Criteria, Design Requirements, and Guidelines for Schools, Part 1: Permanent Schools" standard provides guidelines for sound levels in unoccupied classrooms due to noise sources resulting from the site or building design, with the goal of achieving appropriate signal-to-noise ratios for student learning. However, meaningful data on the speech and ambient noise levels as actually experienced by students in occupied K-12 classrooms and how those impact student achievement are currently limited.
Perspectives
I am so grateful to the EPA for funding the Healthy Schools STAR program, and for selecting our UNL research group as one of the 7 recipients! I've enjoyed leading our research team on this work, and I'm proud of the work we've completed and eager to share the results, not only in acoustics but also across all disciplines encompassed within indoor environmental quality.
Dr.
Lily M
Wang
University of Nebraska System
