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Journal article
Impact of Indoor Environmental Quality on Students’ Attention and Relaxation Levels During Lecture-Based Instruction
Buildings, v 15(16), 2813
08 Aug 2025
Featured in Collection : Research Supported by Drexel Libraries' OA Programs
Abstract
Human cognitive performance is influenced by external factors, including indoor environmental quality (IEQ). Understanding how these factors affect stress, attention, and relaxation is essential in environments such as workplaces and educational institutions, where cognitive function directly impacts performance. This study examines the effects of IEQ on students’ attention and relaxation levels during various lecture periods, focusing on design major students. Three key IEQ parameters (air temperature, relative humidity, and natural lighting) were evaluated for their effects on cognitive states using electroencephalogram (EEG) measurements in a controlled setting. Participants wore non-invasive, portable EEG devices to monitor neurophysiological activity across two sessions, each involving four scenarios: (i) baseline, (ii) increased natural light exposure, (iii) elevated relative humidity, and (iv) increased air temperature. EEG-derived metrics of attention and relaxation were analyzed alongside environmental data, including temperature, humidity, lighting conditions, carbon dioxide (CO2) concentration, total volatile organic compounds (TVOC), and particulate matter (PM), to identify potential correlations. Results showed that natural light exposure improved relaxation but reduced attention, suggesting a restorative effect on stress that may also introduce distractions. Attention peaked under moderately warm, dry conditions (25–26 °C and 16–19% relative humidity), correlating positively with temperature (Pearson correlation coefficient, 𝑟
= 0.32) and negatively with humidity (𝑟
= −0.50). Conversely, relaxation was highest under cooler, more humid conditions (23–24 °C and 24–26% relative humidity). Attention was negatively correlated with CO2 (𝑟
= −0.47) and PM2.5 (𝑟
= −0.46), suggesting that poor air quality impairs alertness. Relaxation showed weaker but positive correlations with PM2.5 (𝑟
= 0.38), PM1.0 (𝑟
= 0.35), and CO2 (𝑟
= 0.32). Ultrafine particles (PM0.3, PM0.5) and TVOC had minimal association with cognitive states. Overall, this study underscores the importance of optimizing indoor environments in educational settings to enhance academic performance and supports the development of evidence-based design standards to foster healthy, effective learning environments.
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Details
- Title
- Impact of Indoor Environmental Quality on Students’ Attention and Relaxation Levels During Lecture-Based Instruction
- Creators
- Marjan Miri - Drexel University, Architecture, Design, and UrbanismCarlos Faubel Alama - Drexel University, Architecture, Design, and UrbanismUrsula Demarquet Alban - Drexel UniversityAntonio Martinez-Molina (Corresponding Author) - Drexel University, Architecture, Design, and Urbanism
- Publication Details
- Buildings, v 15(16), 2813
- Publisher
- MDPI
- Number of pages
- 24
- Grant note
- The 2023 AIA Upjohn Research Initiative grant titled "Inattentiveness Reduction through Environmental Interventions: Workplace Designing for Inattentive Type"
The authors acknowledge that the EEG equipment used in this study was originally purchased with funding from the 2023 AIA Upjohn Research Initiative grant titled "Inattentiveness Reduction through Environmental Interventions: Workplace Designing for Inattentive Type." Although this research was conducted independently of the funded project, we wish to express our gratitude to Jinoh Park (University of Arkansas), Michelle Boyoung Huh (Virginia Polytechnic Institute and State University), Melissa A. Hoelting (Corgan), and Samantha S. Flores (Corgan) for their support and collaboration on the original grant project.
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Architecture, Design, and Urbanism
- Web of Science ID
- WOS:001557925900001
- Scopus ID
- 2-s2.0-105014333567
- Other Identifier
- 991022072695104721
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- Web of Science research areas
- Construction & Building Technology
- Engineering, Civil