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Bangladesh Journal of Multidisciplinary Scientific Research; Vol. 2, No. 2; 2020 
ISSN 2687-850X   E-ISSN 2687-8518  

Published by CRIBFB, USA  
 

    10 
 

Performance of Internet of Things (IoT) Potential Applications in Education 

 
Tanjea Ane 

Lecturer 
Department of Computer Science & Information Technology 

Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur-1706, Bangladesh 
E-mail: tanjea@bsmrau.edu.bd 

 
Masum Billah 

Assistant Professor 
Department of Computer Science & Information Technology 

Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur-1706, Bangladesh 
E-mail: masumb06@bsmrau.edu.bd 

 
Tabatshum Nepa 

Lecturer 
Department of Politics and Governance 

Gono Bishwabidyalay, Savar, Dhaka-1344, Bangladesh 
E-mail: niipa.ju35@gmail.com 

 
 
Received: April 29, 2020          Accepted: May 30, 2020           Online Published: July 10, 2020 
 
doi: 10.46281/bjmsr.v2i2.653        URL: https://doi.org/10.46281/bjmsr.v2i2.653  
 
 
Abstract 
Internet of Things (IoT) very fast growing interaction that has connected real and virtual objects anytime, anywhere though 

network. A variety of various connected objects influence the applications of education process which is like a new change with 

research opportunities and possibilities. In education ecosystem IoT emerges as rapidly dynamic technology for the improvement 

of traditional education system. This paper consists of five parts: firstly an overview of IoT use, secondly IoT application in 

education system, thirdly recent survey IoT work then discusses IoT impacts in the higher education and concludes the paper. 

Keywords:  IoT, Smart Education, Smart Classroom, Future Learning.   
 
1. Introduction 
Cloud computing is an intelligent computing technology and distributed application, over the internet many users can get access 
data centers that is available for the user. Internet connectivity has increased for being part of IoT and the most crucial part of 
IoT is cloud computing applications are made on the demand of mobility and extended networking, the cloud is important part 
for IoT’s applications. Example: Now days we feel the need working with big data, cloud is helpful to store data and other 
interrelated companies can easily access the data for processing through IoT. IoT generates lots of data on the other hand, cloud 
computing paves way for this data to make easier to access for end user. Cloud computing and internet of things are working to 
increase the efficiency of everyday task. IoT will be totally reliant on the cloud computing, can assist IoT for a very large-scale 
application. There are many technologies that enable the IoT in both wired and wireless communication technology. For short 
range communication Bluetooth, ZigBee, Wi-Fi etc. technology is used. VSAT technology is available for long range 
communication and wired communication Ethernet,  PLC have more usability (Farooq, Waseem, Mazhar, Khairi, & Kamal, 
2015). 

Technology companies (ARRIS, CableLabs, Cisco, Electrolux, GE Digital, Intel, Microsoft, Qualcomm and Samsung) 
have started working with the Internet of Things (IoT). Another paper (Miraz, Ali, Excell, & Picking, 2015), reviewed IoT, IoE 
(Internet of Everything) and IoNT (Internet of Nano Things). Both CISCO and Qualcomm have analyzed the meaning and 
showed their technical scenario in paper. Four layers e.g., people, data, process and things are discussed for future expansion for 
Internet of things that enriches the internet activity incorporating machine-to-machine, person-to-machine and person-to-person 
systems. IoE is being implemented with IoNT incorporating nano-sensors this provides access to data from remote places that 

mailto:masumb06@bsmrau.edu.bd
https://doi.org/10.46281/bjmsr.v2i2.653
https://doi.org/10.46281/bjmsr.v2i2.653


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was nearly impossible to be detected, supporting the advanced processing and better clarification. As IoT includes Big data 
analysis and have created more reliant technology on which our daily applications are dependent. Internet services may face 
newly challenges and hence online platform requires safety to protect analyzed data in global environment. Paper (Riahi, 
Natalizio, Challal, Mitton, & Iera, 2014) referred the ‘The Internet of Things (IoT)’ is an active participant and where people 
interact in a technological ecosystem. IoT is complex paradigm including complex processing system and parallelly connecting 
global things in presence of critical threats. Paper discussed the interactions among four IoT components: intelligent object, 
technological ecosystem, person as well as process and mentioned how to protect the third-party attack in the large dimension of 
critical issues in the purpose to make a security system for IoT.  

How would be future internet architecture, possible applications and challenges are discussed in paper (Khan, Khan, 
Zaheer, & Khan, 2012).  Present internet communications between human to human but next internet is going towards machine 
to machine communication. (Ray, 2018) Internet of Things used to refer things is becoming smarter; processing becomes more 
intelligent and provides smart solution. Internet of Things (IoT) makes a strong connection with digital world where a number 
of networks are working together simultaneously. Internet of Things architectures is discussed in this survey paper also showed 
the data exchange formats, data encoding, and addressing schemes of packets for data communication. It surveyed IoT cloud 
solution is capable of analyzing real time data and managing the central server from remote distance. Social Internet of Things 
(SIoT) platform for newly social connection is proposed here. 

Internet of Everything (IoE) tells the benefits of connecting people, process, data, and things (Mitchell, Villa,  
Stewart-Weeks, & Lange, 2013). IoT and IoE are related and their relationship is drawn according to working principle and 
smart things becoming smarter and it highlighted Internet of Things (IoT) and the wider IoE. Both are getting efficiency for not 
only data transfer but also getting better secured communication policy. A distributed architecture is discussed, where data can 
be applied in real time at the edge of the network, as well as in batch-mode in the cloud ensures better computing capability and 
data analysis. 

(Sundmaeker, Guillemin, Friess, & Woelfflé, 2010) reviewed few key drivers having great impact at Internet of Things e.g., 
energy, intelligence, communication, integration, interoperability. In order to clear identification system there is a demand to 
have a technically sound solution than can guarantee to make a strong privacy and user will get secured data communication over 
worldwide internet. (Huang & Li, 2010) showed the internet applications and their similarity model and why their services are 
comparable with traditional model. The properties of world based new internet with attributes are shown here including the 
three properties of product information e.g., electronic tag form, standardizing restraint as well as ontology supporting.  (Chen 
et al., 2011) Described a common fabric for integrating IoT with cloud computing. For upcoming future internet generation, it 
will be more suitable platform for sensing and data communication technology also provides a possible solution of privacy 
protection mechanism. Only the Internet of Things (IoT) can change us with existing system. Now, IoT is everyday networking 
like in our education, communication, business, science, government, agriculture and humanity. IoT becomes very essential part 
for our education ecosystem and IoT is presenting future education with high quality for gathering, analyzing and distributing 
knowledge. 
 
2. IoT Application in Education Ecosystem 

2.1 Smart Teaching 
Traditional teaching approach that has come to end with smart education system. Education system is being replaced ‘chalk-talk’ 
method by new technological devices (Finger Touch, Pen Based, Teaching Pointer etc.). IoT education refers as ‘seven days-
twenty four hours teaching center’ for interested learners. As shown in the figure 1 below smart teaching is about the objects, 
classrooms are connected with technology. In higher education students need an environment where they will have diversity of 
knowledge, study space, research opportunities, internet availability in lab. IoT creates an adaptable learning area to help them 
knowledge sharing from each other. 

 
Figure 1. Smart Teaching 

Source: Smart Teaching (2015) 



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Moreover, IoT offers novel electronic teaching and learning area while objects teach other objects creating electronic 
groups in collaboration with teachers and students. Quality of education strongly has been made sure for education platforms. In 
addition, education ecosystem is networking among virtual physical objects with smart technology. 
 
2.2 Smart Learning 
Educational experts appraise smart learning as self-education in order to encouraging the learners to work besides their textbooks 
contents. This motivates learners in independent research work without formal analog education steps. Student gets answers 
from online source. They are not waiting for others assistance to step out in research experiments. Anytime, anything from 
anywhere research resources are available that they need to work. In IoT lab interacts with objects, sensors, data bandwidth and 
connects component with cloud computing, it makes faster learning. Now learners can monitor and observe their lab 
experimental actions within real time by using smart monitoring technology devices i.e. indoor camera, smart voice controller, 
tracking devices, Bluetooth tracking sensors, smart alert clock. Smart learning environments pave the way to adapt learners to 
take information and processing it as digital learning formats. 
 
2.3 Smart Classroom 
Smart classroom is a place of learning, teaching and assessment happens in an intellectual environment. Education activities are 
involved differently but still in effective and interactive way, used as useful and beneficial for both faculty and students. Smart 
classroom makes the teaching learning system easier way that provides better classroom management. Teacher and students may 
know what is the objective and purpose of education in technological based way in smart classroom management system. 
Teachers take actions according to the students’ performance. They take up possible decisions for improvement the quality of 
higher education performance. Smart technological tools i.e. document camera, interactive whiteboard, interactive projector, 
simple projector, digital camera; graphic tablets are being used in smart classroom. As shown in the figure 2 below smart 
classroom concept is about the wired and wireless medium are connected with technology. 

 

Figure 2. Smart classroom View 
Source: Smart Classroom (2015) 

 

 



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Most of recent studies show smart classroom concept for smart education which can be useful to enrich teaching, learning 

and assessment processes. 

3. Recent work of IoT in Education 

3.1 Green IoT Impact 

Virtual, smart classroom benefit the learners in divisive way. Previous study tools are replaced and scale up by smart devices. The 
aim of G-IoT (Green-Internet of Things): IoT applications in education are being extended. It supports engineering education 
learning platform. Engineering education formerly was class-content oriented design, students work on lab passed full day, these 
lab experiments were online based but used just for information and was very difficult to implement. G-IoT at engineering 
education now connected classroom, lab with students via technology. Students are allowed to perform the lab experiment 
reactions from anywhere. Open source projects, online training are available which brings them real world experiences. Future 
education is enduring problem solving knowledge sharing education system that guarantees improved teaching, learning quality 
and supported by IoT vision (Maksimovic, 2017). Figure 3 presents future education for 2030. 

 

 

 

 

 

 

 

 
 

 
 
 
 
 
 
 
 

Figure 3. Technology vision for future education for 2030 
Source: Future Education Skill (2018) 

 
 

 
 

Figure 3. Technology vision for future education for 2030 
Source: Future Education Skill (2018) 

 
With help of IoT and G-IoT the vision of education ensures a sustainable education system. It provides the ICT 

resources sustainability with greener behavior of teachers, students and staff. G-IoT leads optimal resources utilization, ICT 

equipment’s reuse, increase of G-IoT practice, decreases expenditure in education. 

3.2  IoT in Higher Education Ecosystem Impact 
A result of questionnaire based statistical report was revealed, data were collected for the survey from university students and 
teachers (Abbasy, 2017).Teacher perception result shows, they are satisfying with IoT application in education. About (80 to 
90) percentage of instructors are agree that IoT has a great influence at learning is shown in figure 4 while figure 5 depicts the 
perception of students view. Some cases from student perception view, they agree with instructors in three cases i.e. e-learning, 
research and hyper connectivity. From statistical graphical perception view results are varied less in few criteria and highly match 
in particularly three parameters. So teachers and student have trust on IoT technology in education system that proved IoT has 
implied great factors in education ecosystem. 

 

 

 

 

 

 



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Figure 4. Teacher Perception Result 

 

 

 

 

 

 

 

 

 

 

 

 

 

Figure 5. Student Perception Result 

4. IoT in Higher Education 
There is a prediction IoT directly and indirectly will affect teaching and learning process in future. IoT broadly affects teaching-
learning system to upgrade the quality of education so that in more appealing and quantifiable environment teacher will perform 

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the duties to fulfill the variant needs of students. This paper takes three aspects to be improved: teaching, learning and 
assessment. 
 
4.1 Improve Learning Efficiency 
In higher education system their needs individual stakeholders for better management. Various devices are connected in IoT 
communications to help learning process in efficiently that reduces individualized management and will lead rapid and better 
progress of higher learning experiences. 
 
4.2 Mobile Learning Applications 
IoT is strongly connected network with smart mobile technology .Students can keep a track of audios/videos to help themselves 
in study on mobile storage as needed. Teachers can provide assignment task on mobile used applications and at anytime both can 
login mobile system then take a review of progressive report. Mobile technology can be accessed at anytime from anywhere. Use 
of IoT with smart mobile system will be a new massive chance for better higher learning approaches. 
 
4.3 Research Computing and Opportunity 
IoT continues to confirm its benefits for research work in higher education, it will make big data available so that faculty of 

universities and students may increase interdisciplinary research by analyzing big data in high quality computing platform. To 

upgrade system IoT will put sensor, audio/video smart technology, distributed network that will link up researchers in online 

wireless medium to share knowledge based dialogue in faster process both for input and output. IoT technology will provide 

huge possibilities among the research learners in higher education. 

 
5. Conclusion 
This paper shows the possible progress in higher education with the advancement IoT i.e. Internet of Things. IoT system has 

many challenges while moving traditional teaching, learning process to smart one system that positively affects entire teaching-

learning and assessment process in higher education. Higher education will have a tremendous success that increase learning 

speed. Based on reality, our future work will highlight how the existing IoT implementations make sustainable education 

ecosystem in higher teaching learning process. 

 

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Copyright for this article is retained by the author(s), with first publication rights granted to the journal. This is an open-access 
article distributed under the terms and conditions of the Creative Commons Attribution license 
(http://creativecommons.org/licenses/by/4.0/). 
 

https://edtechnology.co.uk/Blog/new-classrooms-smart-teaching/
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