Evaluating the effects of indoor air quality on teacher performance using artificial neural network

Abstract

Purpose A building's Indoor Air Quality (IAQ) has a direct impact on the health and productivity on its occupants. Understanding the effects of IAQ in educational buildings is essential in both the design and construction phases for decision-makers. The purpose of this paper is to outline the impact air quality has on occupants' performance, especially teachers and students in educational settings. Design/methodology/approach This study aims to evaluate the effects of IAQ on teachers' performances and to deliver air quality requirements to building information modelling-led school projects. The methodology of the research approach used a quasi-experiment through questionnaire surveys and physical measurements of indoor air parameters to associate correlation and deduction. A technical college building in Saudi Arabia was used for the case study. The study developed an artificial neural network (ANN) model to define and predict relationships between teachers' performance and IAQ. Findings This paper contains a detailed investigation into the impact of IAQ via direct parameters (relative humidity, ventilation rates and carbon dioxide) on teacher performance. Research findings indicated an optimal relative humidity with 65%, ranging between 650 to 750 ppm of CO2, and 0.4 m/s ventilation rate. This ratio is considered optimum for both comfort and performance Originality/value This paper focuses on teacher performance in Saudi Arabia and used ANN to define and predict the relationship between performance and IAQ. There are few studies that focus on teacher performance in Saudi Arabia and very few that use ANN in data analysis.

Examining the factors influencing students’ productivity in architectural design studio of governmental Jordanian universities

“…There is limited detailed research on indoor air quality (IAQ) within educational buildings in the Middle East (Alzahrani et al, 2023). In Jordan, most architectural educators in governmental universities observed and noted that the students' productivity during design studio hours does not meet their minimum expectations.…”

“…The studio environment includes the physical environment (climate, geographical characteristics and immediate context such as technological tools availability) and sociocultural and psychological factors (Berivan and Bahar, 2020). Physical environment concerns IAQ, daylight and artificial light and personal space; all create thermal, visual and personal comfort (Mandala, 2019;Alzahrani et al, 2023;Kaushik et al, 2021).…”

Analysis of Measured CO2 Levels through Long-Term Monitoring in Renovated Multifamily Buildings: A Common Case

“…The indoor air quality (IAQ) is an essential factor affecting the health and comfort of the occupants of a building [9][10][11][12] and the occupants' behavior [13]. Saidin et al [9] identified that the indoor concentrations of PM 2.5 and CO 2 significantly contribute to the total hazard ratio and that the ventilation system significantly affects the indoor air quality, using a case study of six bank offices located in Malaysia.…”

“…Saidin et al [9] identified that the indoor concentrations of PM 2.5 and CO 2 significantly contribute to the total hazard ratio and that the ventilation system significantly affects the indoor air quality, using a case study of six bank offices located in Malaysia. Alzahrani et al [10] assessed the impact of the IAQ parameters (relative humidity (RH), ventilation rates, and carbon dioxide) on teachers' performance in Saudi Arabia and used an artificial neural network (ANN) to predict the relationship between performance and IAQ. In one study [11], three indoor air pollutants (PM 2.5 , CO 2 , and CO) were measured in six public health centers, and identified that ventilation is a key measure to improve the IAQ.…”