The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The relationships between classroom air quality and children’s performance in school
Open accessAbstract
Abstract The data from published studies were used to derive systematic relationships between learning outcomes and air quality in classrooms. Psychological tests measuring cognitive abilities and skills, school tasks including mathematical and language-based tasks, rating schemes, and tests used to assess progress in learning including end-of-year grades and exam scores were used to quantify learning outcomes. Short-term sick leave was also included because it may influence progress in learning. Classroom indoor air quality was characterized by the concentration of carbon dioxide (CO2). For psychological tests and school tasks, fractional changes in performance were regressed against the average concentrations of CO2 at which they occurred; all data reported in studies meeting the inclusion criteria were used to derive the relationship, regardless of whether the change in performance was statistically significant at the examined levels of classroom air quality. The analysis predicts that reducing CO2 concentration from 2,100 ppm to 900 ppm would improve the performance of psychological tests and school tasks by 12% with respect to the speed at which the tasks are performed and by 2% with respect to errors made. For other learning outcomes and short-term sick leave, only the relationships published in the original studies were available. They were therefore used to make predictions. These relationships show that reducing the CO2 concentration from 2,300 ppm to 900 ppm would improve performance on the tests used to assess progress in learning by 5% and that reducing CO2 from 4,100 ppm to 1,000 ppm would increase daily attendance by 2.5%. These results suggest that increasing the ventilation rate in classrooms in the range from 2 L/s-person to 10 L/s-person can bring significant benefits in terms of learning performance and pupil attendance; no data are available for higher rates. The results provide a strong incentive for improving classroom air quality and can be used in cost-benefit analyses.
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Cites
Seppanen, O. A., Fisk, W. J., & Mendell, M. J. (1999) · Indoor Air · doi:10.1111/j.1600-0668.1999.00003.x · Cited by 876
Ventilation rates and health: Multidisciplinary review of the scientific literature
Sundell, J., Levin, H., Nazaroff, W. W., Cain, W. S., Fisk, W. J., Grimsrud, D. T., Gyntelberg, F., Li, Y., Persily, A. K., Pickering, A. C., et al. (2011) · Indoor Air · doi:10.1111/j.1600-0668.2010.00703.x · Cited by 740
Association between substandard classroom ventilation rates and students’ academic achievement
Haverinen-Shaughnessy, U., Moschandreas, D. J., & Shaughnessy, R. J. (2011) · Indoor Air · doi:10.1111/j.1600-0668.2010.00686.x · Cited by 311
Wargocki, P., & Wyon, D. P. (2017) · Building and Environment · doi:10.1016/j.buildenv.2016.11.020 · Cited by 290
Self-citationReport of an outbreak: nursing home architecture and influenza-A attack rates
Drinka, P. J., Krause, P., Schilling, M., Miller, B. A., Shult, P., & Gravenstein, S. (1996) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1996.tb01859.x · Cited by 77
Cited by
Sadrizadeh, S., Yao, R., Yuan, F., Awbi, H., Bahnfleth, W., Bi, Y., Cao, G., Croitoru, C., de Dear, R., Haghighat, F., et al. (2022) · Journal of Building Engineering · doi:10.1016/j.jobe.2022.104908 · Cited by 375
Self-citationLSTM-Autoencoder-Based Anomaly Detection for Indoor Air Quality Time-Series Data
Wei, Y., Jang-Jaccard, J., Xu, W., Sabrina, F., Camtepe, S., & Boulic, M. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3230361 · Cited by 269
Metadata
- Authors
- Wargocki, P., Porras-Salazar, J. A., Contreras-Espinoza, S., & Bahnfleth, W.
- Venue
- Building and Environment
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 173
- Pages
- 106749
- ISSN
- 0360-1323 (ISSN-L)
- OpenAlex
- W3006309879
- Cited by
- 263
- References
- 5
- FWCI
- 10.26
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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