Background of the study:
In recent years, student wellness has emerged as a critical concern for higher educational institutions, particularly in rural and semi‐urban areas such as Jalingo LGA, Taraba State. The growing prevalence of stress, sedentary lifestyles, and lifestyle diseases among students necessitates continuous health monitoring and timely intervention. Traditional healthcare practices in academic settings rely heavily on periodic checkups and manual record‐keeping, which often fail to capture real‐time changes in student health. With the advent of Internet of Things (IoT) technology, smart healthcare devices have become a promising solution to bridge this gap. These devices integrate wearable sensors, remote monitoring, and data analytics to continuously track vital health parameters such as heart rate, blood pressure, body temperature, and oxygen saturation (Ibrahim, 2023). By enabling real‐time data collection and analysis, these systems empower healthcare professionals and university administrators to identify early signs of illness and stress, thereby facilitating proactive care and personalized wellness programs. Moreover, smart healthcare devices can be linked with mobile applications that provide health tips, reminders for medication, and even emergency alerts. Cloud connectivity and machine learning algorithms help in forecasting potential health risks and recommending appropriate interventions (Adeniyi, 2024). In addition to monitoring physiological parameters, IoT‐based systems can track lifestyle indicators like physical activity and sleep patterns, which are vital for comprehensive student wellness. The integration of such technologies in university clinics is expected to improve overall health outcomes and reduce the burden on traditional healthcare services. As global trends push for digital transformation in healthcare, educational institutions in Jalingo LGA are uniquely positioned to benefit from IoT innovations, fostering a healthier campus environment. Continuous monitoring through these devices ensures that any deviation from normal health metrics is immediately flagged, thus enabling timely medical attention. This proactive approach not only enhances student well‐being but also contributes to improved academic performance and reduced absenteeism. The scalability of IoT solutions further means that pilot programs can be expanded across multiple campuses, creating a robust ecosystem for student wellness (Udo, 2025).
Statement of the problem:
Despite the clear need for improved student wellness, universities in Jalingo LGA continue to rely on outdated healthcare practices that lack real‐time monitoring capabilities. Traditional methods involve periodic health checkups and manual data entry, which delay the identification of health issues until they become critical. The absence of continuous monitoring leaves students vulnerable to undetected conditions such as hypertension, arrhythmia, or early signs of stress and anxiety. Inadequate health surveillance not only compromises individual well‐being but also strains limited campus healthcare resources, leading to reactive rather than proactive interventions (Ibrahim, 2023). Moreover, without automated systems, there is often a significant lag in communicating emergency situations to medical personnel. Financial constraints, coupled with limited technical expertise in digital health, further impede the adoption of modern healthcare devices. As a result, many students experience prolonged periods without proper health intervention, which can lead to severe academic and personal consequences. The lack of integrated data systems also means that health trends across the student population are not properly recorded or analyzed, thereby preventing informed decision‐making for campus health policies. This scenario underscores the urgent need for an IoT‐based smart healthcare solution that offers real‐time monitoring and rapid response to emerging health issues, ensuring continuous wellness support for students (Adeniyi, 2024). Without such innovation, the university risks higher absenteeism, reduced academic performance, and an overall decline in student health standards.
Objectives of the study:
To design and implement an IoT‐based smart healthcare device tailored for continuous monitoring of student wellness.
To assess the effectiveness of the system in early detection of health anomalies and stress indicators.
To recommend integration strategies for incorporating smart healthcare devices into existing campus health services.
Research questions:
How effective is the IoT‐based system in continuously monitoring key health parameters among students?
What impact does real‐time health monitoring have on early intervention and student wellness?
How can the system be integrated with current university healthcare infrastructure to optimize student health management?
Significance of the study:
This study is significant because it provides a modern, proactive approach to student health by leveraging IoT technology. The findings will inform policymakers and university administrators on the benefits of continuous monitoring, leading to improved health outcomes, reduced medical emergencies, and enhanced academic performance. The research supports the transition towards digital health solutions in educational institutions.
Scope and limitations of the study:
This study is limited to the design, implementation, and evaluation of IoT‐based smart healthcare devices for student wellness in university clinics in Jalingo LGA, Taraba State. It does not extend to other forms of healthcare or regions.
Definitions of terms:
IoT (Internet of Things): A network of interconnected devices that exchange real‐time data.
Smart Healthcare Device: A wearable or portable system that monitors physiological parameters automatically.
Student Wellness: The overall physical, mental, and emotional health of students.
ABSTRACT
The broad objective of this study is to examine the impact of production planning and control...
Chapter One: Introduction
1.1 Background of the Study
Rural electrification is a cornerstone of socioeconomic development, part...
Background of the Study
Mangrove restoration is a vital environmental intervention aimed at protecting coastal ecosystems and the communi...
Background of the Study
Risk mitigation strategies are essential tools for managing uncertainties in investment behavior....
Chapter One: Introduction
1.1 Background of the Study
Rural electrification remains one of the k...
Background of the Study
Sentiment analysis, a branch of natural language processing, is increasingly us...
Background of the Study
Neonatal hypothermia is a condition in which a newborn's body temperature falls below the no...
Background of the Study
Alzheimer's disease (AD) is a progressive neurodegenerativ...
Background of the Study
Cybersecurity awareness has become an essential component of protecting university networks from ex...
ABSTRACT
This study sought to analyze costing techniques and their impact on profitability of manufacturing companies....