2025/10/22 by Anwar Ahmed Khan, Khan, Anwar Ahmed, Shama Siddiqui +4
Psychology · #Computers and Society (cs.CY) #FOS: Computer and information sciences #FOS: Electrical engineering #Signal Processing (eess.SP) #Sleep and Work-Related Fatigue #Sleep and related disorders #Technostress in Professional Settings #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2510.19269
openalex publication_date 2025/10/22 · openalex created_date 2025/10/24 · openalex updated_date 2026/07/28
Sleep quality is an important indicator of the efficient cognitive function for high school teachers. Due to the high work stress and multi-tasking expectations, the teachers often face issues with their sleep quality and cognitive function, which has a clearly negative influence on their teaching abilities. In this work, we propose a unique but simple method of deploying Internet of Things (IoT) technology to monitor the sleep quality of high school teachers at Pakistan. Smart watches embedded with pulse rate and SpO2 sensors were used to collect data and categorize the sleep quality as "poor", "fair" or "good". Moreover, we used a psychological tool, Cognitive Assessment Questionnaire (CAQ) for the self-assessment of teachers' cognitive function. The study was conducted over 208 high school teachers from across Pakistan. It has been found that most of the teachers had a poor sleep quality and cognitive function; The link between these two variables indicate that the workload and other factors must be improved for the teachers to ensure their well-being, which will in turn have a positive impact on their teaching quality.