Monitoring and Supporting Student Mental Health in Smart Campuses: A Review of IoT-Based Systems

Abstract

The growth of mental health issues in students at universities, has driven a search for technology-based solutions to
supplement or replace traditional methods of providing mental health support for students. Smart campuses which are integrated
digital environments powered by Internet of Things (IoT) technologies offer new ways to monitor students’ mental health
continuously and to intervene early in cases where there may be developing problems. Study explores the present state-of-the-art
of IoT based systems designed to monitor and provide support for students' mental health in Higher Education Institutions. The
review will synthesize evidence related to technologies such as wearable sensors, environmental monitoring devices, sensing via
mobile phone apps, and collecting data passively using communications networks. Data analytics and Artificial Intelligence (AI),
will be examined in depth for their roles in recognizing behavioural patterns, predicting individuals’ mood states, and generating
real time alerts. The purpose of this research is to give support to individuals that are involved in the development of appropriate
and successful mental health approaches using technology in higher education; these include researchers, administrators and policy
makers.