Internet of Things for Sustainable Smart Education: An Overview
Abstract
:1. Introduction
2. Research Questions and Methodology
2.1. Research Questions
- What is smart education, and how can the smart school concept be explained
- What does sustainable education mean? How can a smart education can be a sustainable education?
- How can the Internet of things be applied in educational settings from school manager, teacher, and learner perspectives
2.2. Methodology
3. Smart and Sustainable Education
3.1. What Is a Smart School?
- To achieve digital literacy and an ICT-literate future workforce.
- To achieve an interactive, collaborative learning experience and an enhanced quality of education
- To achieve inclusive education by providing virtual education to far-removed areas without setting up physical school infrastructures.
- To equip teachers with modern teaching tools and applications to harness ease of work and quality of delivery in their daily work routine.
- To achieve sustainable management of resources in providing quality education.
- To achieve sustainable development goals by supporting and building sustainable communities [10].
3.2. What Does Sustainable Education Mean?
3.3. Main Features of a Sustainable Smart School
4. Internet of Things: A Brief Introduction
IoT Architecture
5. IoT as an Enabler for Sustainable and Smart Education
5.1. IoT for Smart School Management
- Energy management: In the interests of sustainability, energy management demands interconnectivity and interoperability. Educational organizations could save millions of dollars using smart energy management. IoT sensors in school premises allow utility of only on demand energy and avoid unnecessary use of energy as in case of electricity. In this way, educational organizations can not only minimize their cost per unit of electricity but also their carbon footprint. An IoT-based communication framework can thus provide energy consumption information to the management system. An IoT-based energy-management platform has been developed to provide smart energy management for schools [21]; therefore, it provides a system based on demand resource energy management (DR). Another noteworthy solution for smart school building management is presented in [22], where a low-cost solution is designed for implementing energy consumption and environmental monitoring using an open-source IoT infrastructure. The solution is installed in many school buildings in Germany.
- On-campus security: School premises security is a challenge, especially in cases of large institutions. Most school buildings have insufficiently secured infrastructure. Therefore, it is almost impossible to detect incidents, such as physical abuse, fire, theft, or sexual abuse, on campuses. School management can enhance their in campus security by using real-time cameras in combination with devices. In this way, school management can reach the place of the incident quickly and initiate an action plan immediately. IoT-based security systems comprise sensing technologies, sensitive cameras, advanced cellular technologies, wireless communication, and cloud-based networks [23].
- Student monitoring system: In another work, researchers developed an IoT-based student monitoring system which utilizes Bluetooth low-energy technology (BLE) cards along with IP-based, closed-circuit television (CCTV) system. Here, the beacon chips are used for fingerprinting technology to determine the position of the object and face recognition is used to identify the student. In this way, it would be easier to monitor and identify the students carrying the BLE cards [24].
- Management of students requiring extra support: Facilitating learners with special needs is a challenge for education providers. Learners with physical and mental disabilities require holistic solutions to help them in learning. IoT has the ability to develop learner-friendly personalized learning environments. Recent research work has presented the scope of IoT for students with special needs [25,26,27]. A useful example is that of gloves connected with sensors and a tablet for generating speech, which can help a deaf and mute learner for in class communication and interaction. Screen readers are one of the learning technologies which help in text-to-speech recognition for visually impaired students. Other features of screen readers include the following: on-screen keyboards, which help learners with mobility impairments to type; screen magnifiers, which enlarge screen content; and on-screen alerts, which send visual messages to assist deaf or hearing-impaired learners [28]. The research in [29] presents a wearable IoT device for early-stage detection of autism and management of related data.
- Smart transport for schools: School management can leverage IoT for the provision of secure transport for its learners. An IoT-based vehicle-monitoring system is presented in [30]. The presented idea explains a mechanism comprising a cellular device application and a microcontroller. Global positioning system (GPS) is used to find the position of the school transport using a cellular device. The mechanism uses an alcohol sensor and a panic switch for the security of the students. The real-time status of the vehicle can be observed by parents and school managers. Another proposed IoT-based bus-tracking system introduces a tracking website and an android application for the school administration, parents, and drivers of the buses to track the school transport [31].
- Student health monitoring system: A learner’s health influences their educational performance. If a student is suffering from health-related problems, it would be extremely hard for them to focus on their studies, and thus their academic performance will decline. IoT in this case plays a vital role. IoT sensors gather health-related data through wearable devices. The collected data is then processed and gives precise measurements of student’s health parameters. Research in [32] proposed a students health monitoring system presents an ambient intelligence-assisted health monitoring system (AmIHMS) based on IoT devices. Researchers in [33] suggested a cloud-centric IoT-based health monitoring framework. Research work in [34] presents an emotion detection system using long short-term memory (LSTM) and physiological signals. Researchers focused on distance learning in the pandemic era have presented an IoT-based framework for healthcare. A data-driven air quality prediction system in learning institutions is proposed in [35].
5.2. IoT for Teachers
- Autonomous attendance system: Taking attendance of each student is a strenuous daily task for educators. The main task of teachers is to teach and facilitate learners in learning. Biometric attendance system provides an automatic attendance system where each student has an ID card with a barcode to identify the student. This system is connected to face recognition, so that each student is recognised as well. Both teachers and parents will be aware of the presence or absence of the student [36,37,38].
- Advanced pedagogies: Learning spaces are not limited to physical classrooms these days. Now, learning is happening in physical modes, online modes, and hybrid modes. Classrooms can be real or virtual. Mobile learning, e-learning, online learning, digital learning, and distance learning are different names for the same concept. In that scenario, teachers need new pedagogies that support digital learning environments. For teachers, its vital to meaningfully use the advanced concepts and pedagogies for learning facilitation and teaching. The flipped classroom is a good example, where the teacher facilitates the students. Here, the flipped classroom worked as an IoT element during a computer network course [39].
- Assessment, evaluation, and feedback system: IoT can be used as an embedded technology to assess, evaluate, and provide feedback to students. Teachers can use such automated assessment tools for quick and easy working with in-depth insight into student performances. Research work presented in [40] proposed a framework for student interactions using attention scoring assessment in e-learning. Another study proposed a real-time data mining approach based on IoT for students assessment [41]. Research work in [42] proposed student’s engagement assessment based on IoT designed with Raspberry pie.
- IoT-based STEM education: IoT devices can be used in STEM (Science, technology, engineering, and mathematics) classes to have hands-on experiments and learning experience. Moreover, the learners can analyse the data collected through sensors or devices. Students can use IoT kits for design-based learning and can develop design thinking, which is one of the STEM skills [43]. IoT tools can be used in physics education and performing laboratory experiments [44]. A research study in [45] proposed methods to integrate IoT in STEM learning. Multimodal data collected through IoT devices can be used for developing analytical skills [46]. Research work in [47] shows IoT-based smart learning environments help learners to develop critical thinking and problem solving skills.
5.3. IoT for Students
- Distance learning: Distance learning has emerged as a solution in the pandemic era, when contact learning was impossible. Distance learning or online learning can be enhanced effectively by IoT [48]. IoT tools can benefit distance learning and help in uplifting student performance and efficiency by up to 20 percent, as reported in [49]. IoT sensors measured the brain activity during learning sessions and recorded the feedback. In this research [49], IoT sensors measured level of tiredness and keep brain active by sending signals.
- Enhanced productivity and interaction: Smartphone-based online classes, virtual classes, or e-classes develop more interactivity in students. This interaction-based learning develops students’ interest in being involved in different tasks and participating actively in the feedback and assessment processes. Therefore, IoT-based learning environments enhance students productivity and interaction. For example, e-books with barcodes help students to read in an interactive environment. Scanmaker is an IoT device which can quickly scan editable text from books, papers, and other documents directly into a phone, tablet, or computer. The device has the ability to translate text in 40 languages [50].
- Customized learning environments: Customized digital learning environments are targeted to personal needs of the learner. Blackboard [51] is a digital learning environment, which has emerged as a convenient online learning solution for teachers and students. Blackboard is a virtual classroom technology which facilitates learning with enhanced collaboration, using an interactive learning management system (LMS). Such customized digital learning environments keep parents and students updated with daily school schedule, student grades, events, school news, and the attendance of the student. Additionally, IoT wearable technology provides the development of seamless learning. IoT wearable technologies can integrate the user location information, exercise log, and social media interaction into the learning and tailor the learning environment person-to-person in a personalized way. A good example is the IoT-ready platform from the MaTHiSiS H2020 EU project [52]. IoT sensing devices are used to capture the affect of learners during their interaction with learning material, which is in the form of games. This IoT platform utilised mobile devices, such as smart mobile phones and tablets, and robots for interaction [52]. The wearable IoT devices gather data from the learners and then, after processing the data, help in customising the learning environment according to the needs of the learner.
- School and home management: IoT can be used as a school and home management tool for students and parents. IoT-enabled smart school bag is one of the examples for home and school management. The research in [53] proposed a smart bag designed with IoT for students, which provides them with a quick timetable management tool and provides alerts for parents with notifications about any missed books or other school-related items which should be in the bag.
6. Challenges in IoT Adaptation in Education
6.1. Security and Privacy
6.2. Scalability and Reliability
6.3. Dehumanization and Ethical Concerns
7. Discussion
8. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Total Number of References | Total Number of Article-Based References | Total Number Official-Website-Based/Other-Information-Based References | Publication Period of Included Articles | Search Engines Used for Article Collection | Keywords for the Article Search |
---|---|---|---|---|---|
58 | 47 | 11 | 2011–2021 | Google Scholar, IEEE, and ERIC | IoT, smart school, IoT and education, web learning, virtual learning, smart sustainable education, educational management and IoT |
IoT for School Management | IoT for Teachers | IoT for Learners |
---|---|---|
Energy Management | Autonomous attendance system | Distance learning |
School Premises security | New Pedagogies | Virtual classrooms, distance learning |
Special need management | Feedback system | Enhanced productivity |
Smart school transport | Assessment and evaluation system | Enhanced interaction, learning efficiency |
Health management system | STEM education | Personalized learning environments |
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Zeeshan, K.; Hämäläinen, T.; Neittaanmäki, P. Internet of Things for Sustainable Smart Education: An Overview. Sustainability 2022, 14, 4293. https://doi.org/10.3390/su14074293
Zeeshan K, Hämäläinen T, Neittaanmäki P. Internet of Things for Sustainable Smart Education: An Overview. Sustainability. 2022; 14(7):4293. https://doi.org/10.3390/su14074293
Chicago/Turabian StyleZeeshan, Khaula, Timo Hämäläinen, and Pekka Neittaanmäki. 2022. "Internet of Things for Sustainable Smart Education: An Overview" Sustainability 14, no. 7: 4293. https://doi.org/10.3390/su14074293
APA StyleZeeshan, K., Hämäläinen, T., & Neittaanmäki, P. (2022). Internet of Things for Sustainable Smart Education: An Overview. Sustainability, 14(7), 4293. https://doi.org/10.3390/su14074293