The Internet of Things (IoT) role and applications in HVAC equipment at universities uses and ways that IoT influences students learning
Authors: Khoa Bui Quoc , Nguyen Hoang-Tien , Anh Dinh Ba Hung , Khanh Nguyen Hoai , Toai Nguyen Van 
Published: January 2025

Heating, ventilation and air-conditioning (HVAC) accounts for around 40% of the total building energy con¬sumption. It has therefore become a major target for reductions, in terms of both energy usage and CO2 emissions. In the light of progress in building intelligence and energy technologies, traditional methods for HVAC optimi¬zation, control, and fault diagnosis will struggle to meet essential requirements such as energy efficiency, occu¬pancy comfort and reliable fault detection. Machine learning and data science have great potential in this regard, particularly with developments in information technology and sensor equipment, providing access to large vol¬umes of high-quality data. There remains, however, a number of challenges before machine learning can gain widespread adoption in industry. This review summarizes the recent literature on machine learning for HVAC system optimization, control and fault detection. Unlike other reviews, we provide a comprehensive coverage of the applications, including the factors considered. A brief overview of machine learning and its applications to HVAC is provided, after which we critically appraise the recent literature on control, optimization and fault diagnosis and detection. Finally, we provide a comprehensive discussion on the limitations of current research and suggest future research directions.
Internet of things involves interconnected devices and technology facilitating communication between devices and the cloud, as well as among devices themselves. The study is correlational study designed to investigate the role and applications of internet of things in higher education: Uses and ways IoT affects students’ learning. The population of the study is 88 year two students in the department of education, School of Education and Humanities, Babcock University, IIishan and 65 year two students in the department of educational technology, School of computer and Information science, Crawford University, Igbesa. A sample of 100 students was used for the study. A simple random sampling technique was used for the study. The Instrument used for the study was a structured questionnaire titled the role of Internet of Things in Education: Uses and ways IoT affects student’s learning (RITEUWIOTASL) with 30 items. For the study, face and content validity were used. Using Pearson product moment correlation, reliability co-efficient of 0.86 was found. The study's statistical methods included the mean and z test. The study found that IoT devices contribute to campus security, through the integration of surveillance cameras, access control systems and sensors and also IoT facilitates efficient management of educational resources including textbooks, equipment, and digital content. Based on the findings, it was recommended that Educational institutions should invest in comprehensive professional development programs for educators to enhance their understanding of IoT technologies and their effective integration into teaching practices. This will empower educators to leverage IoT tools to create innovative and engaging learning experiences.