IoT-Enabled Sleep Monitoring and Cognitive Assessment for Evaluating Teacher Well-Being

TL;DR

This study employs IoT devices and psychological assessments to monitor sleep quality and cognitive function among high school teachers in Pakistan, revealing a prevalent issue of poor sleep and cognition linked to workload stress.

Contribution

Introduces a novel IoT-based approach combined with psychological tools to assess teacher well-being in a real-world setting in Pakistan.

Findings

Most teachers had poor sleep quality.

Cognitive function was generally low.

Sleep quality correlated with cognitive assessment results.

Abstract

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.