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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.

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.

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

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.

This paper highlights one of the limitations of the continuous improvement (CI) philosophy and contends that CI cannot go on forever. It further suggests that in order to further improve organizations need to increase the system boundary, and proposes ways of doing so.

In order to highlight the limits of CI this paper describes a case study. Using a literature review, it further proposes nine ways of increasing system boundary.

The first finding is that CI is not limitless and there is a logical point where CI cannot be economically justified. At that point, the possibility of increasing the system boundary is required. This paper proposes nine possible ways of expanding this boundary.

The paper presents ways of bringing about radical improvements by increasing the system scope. These ways can be explored by practitioners to bring about major improvements, once incremental improvements have been exhausted.

This paper presents ways for companies to explore radical improvement possibilities, once the incremental improvements have reached a level where they can no longer be financially justified.