Internet of Things Applications in Higher Education
Summary
The advent of the Internet of Things (IoT) has ushered in a new era in higher-education pedagogy, campus management and learning personalisation. By integrating sensors, networked devices and data-analytics platforms, universities can enhance both administrative efficiency and pedagogical practice at scale. IoT applications in lecture theatres, laboratories and common spaces enable real-time monitoring of environmental conditions, resource utilisation and security. Smart classrooms equipped with wearable and embedded sensors support context-aware and personalised learning, adapting instructional content to students’ needs and behaviours. Meanwhile, IoT-driven systems facilitate predictive maintenance of campus infrastructure, streamline energy management and improve accessibility for individuals with disabilities. Research spans diverse global settings—from well-resourced institutions that harness high-speed connectivity to emerging economies where cost, infrastructure readiness and technical support present barriers. Key themes include the development of interoperability standards, the ethical governance of learner and environmental data, and the alignment of IoT initiatives with institutional sustainability goals. As part of a broader digital transformation, IoT in higher education fosters interdisciplinary collaboration, supports evidence-based policymaking and contributes to the strategic goals of quality, equity and global engagement.
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Internet of Things Applications in Higher Education publication trend
The graph below shows the total number of articles in internet of things applications in higher education across all publications each year (not limited to Nature Index journals).
Technical terms
Internet of Things (IoT): A network of interconnected physical devices equipped with sensors and communication capabilities for data exchange.
Smart campus: A higher-education environment enhanced by IoT and other digital technologies to optimise services and learning experiences.
Fog computing: A decentralised computing infrastructure that processes data near the network edge, reducing latency between devices and centralised cloud servers.
Cloud computing: Delivery of on-demand computing resources and services over the internet, supporting scalable data storage and analytics for IoT applications.
Context-aware learning: An educational approach that uses real-time environmental and behavioural data from sensors to adapt instructional content and methods.
Interoperability: The capacity of heterogeneous systems and devices to communicate, exchange and make use of information seamlessly.
References
- Individual, technological, organizational, and environmental factors impact of the internet of things on e-learning adoption in higher education institutions in Jordan. International Journal of Data and Network Science (2024).
- Transforming Educational Institutions: Harnessing the Power of Internet of Things, Cloud, and Fog Computing. Future Internet (2023).
- Internet of Things for Sustainable Smart Education: An Overview. Sustainability (2022).
- Factors Influencing the Adoption of IoT for E-Learning in Higher Educational Institutes in Developing Countries. Frontiers in Psychology (2022).
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