Artificial Intelligence and IOT Trends In Education

Abstract

The goal of this study was to evaluate the influence of artificial intelligence (AI) and Internet of Things (IoT) technologies on schooling. It is utilized to make our campus smart by including numerous things such as sensors, technology for readily gathering data with augmented reality and intra-communication that takes place through cloud computing rather than traditional schooling systems. This review paper/research in AI and IOT focuses on creating smart rooms and robots, parking, and providing smart education. It also represents the current state of AI and IOT education in the world and IOT provides new difficulties to higher education institutions in terms of training future professionals to create and support systems based on old patterns.

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National Conference on “Future Computing Technologies for Sustainable Development” (NCFCTSD-24)
© 2024 DCSA, M D University, Rohtak ISBN: 978-93-80544-57-1
Artificial Intelligence and IOT Trends In Education
Anjali Dhamiwal1, Shubham2 and Monika Saini3
1 Assistant Professor , CSE , World College of Technology and Management, Gurgaon
2 Student, CSE , World College of Technology and Management, Gurgaon
3 HOD, CSE , World College of Technology and Management, Gurgaon
Abstract
The goal of this study was to evaluate the
influence of artificial intelligence (AI) and
Internet of Things (IoT) technologies on
schooling. It is utilized to make our campus smart
by including numerous things such as sensors,
technology for readily gathering data with
augmented reality and intra-communication that
takes place through cloud computing rather than
traditional schooling systems. This review
paper/research in AI and IOT focuses on creating
smart rooms and robots, parking, and providing
smart education. It also represents the current
state of AI and IOT education in the world and
IOT provides new difficulties to higher education
institutions in terms of training future
professionals to create and support systems based
on old patterns.
Keywords: Education, AI (Artificial
Intelligence), IOT (Internet of Things)
1. Introduction
1.1 AI in education
Artificial intelligence is a branch of science and
technology in which new developments and
intelligence expert systems are being developed
daily. Humans desire to create intelligent systems
that can function like humans. Systems should be
able to think like humans and collaborate on
output. In this modern age, education is the most
basic demand of every civilization. Before the
study, monitoring student actions and behaviors
in class was a major issue at universities,
institutions, and schools. Due to extreme student
conduct, teachers were unable to deliver a lecture
in a tranquil setting. Students were distracted from
the real germ of information because to a lack of
communication and a lack of interest in lectures.
Analyzing the entire issue revealed the necessity
to re-engineer the present education system in
light of technological improvements. To offer
smart education, we propose smart systems and
smart classrooms. We put in place an AI system
that works with education.
•A technology capable of inferring patterns and
perhaps drawing conclusions from data.
• A next phase in the digital transition. This
viewpoint considers many distinct technologies,
from robots to the Internet of Things, and from
data analysis to cyber security, to constitute AI.
•The study of theories and methods for machine
adaptation, interactivity, and autonomy (virtual or
embedded) is a subfield of AI.
1.2 Challenges for education solve by AI
• Collaborate: The digital ecosystem allows for
and presumes cooperation across space, time,
cultures, and situations.
• Question: AI systems are fantastic at discovering
answers and will get better at it. It is our
responsibility to ask the proper questions and
critically assess the results to contribute to the
responsible implementation of solutions.
• Visualise: The ability to approach problem-
solving creatively, utilising empathy, logic, and
unique thinking, is required. It is therefore critical
to promote humanities education and to integrate
humanities themes in all technology courses.
• Learn to Learn: The capacity to adapt and
swiftly pick up new abilities is critical for success,
requiring us to constantly learn, grow, and adapt
to change.
1.3 Artificial Intelligence in Education
Today
AI enables the development of robots that
improve students' learning experiences beginning
with the most fundamental unit of education, early
childhood education. The use of AI algorithms
and systems in education is increasing in
popularity year after year. Since 2010, the number
of articles published in the categories "AI" and
"Education" in Web of Science and Google
Scholar has increased.
Figure 1
A-204

National Conference on “Future Computing Technologies for Sustainable Development” (NCFCTSD-24)
© 2024 DCSA, M D University, Rohtak ISBN: 978-93-80544-57-1
1.4 IOT in Education
During the previous decade, the computer
industry has rapidly developed new technologies,
and IoT is one of such disruptive modernizations
that will transform the world from basic object
activities to networked activities resulting in
complex infrastructure.
In 1999, Kevin Ashton coined the phrase "Internet
of Things." Many scholars have attempted to
describe the Internet of Things (IOT) in many
ways since its inception, such as the Internet of
Everything, Internet of Anything, Internet of
People, Internet of Signs, Internet of Services,
Internet of Data, or Internet of Processes. Cisco
defines IOT as a network of physically linked
items. Cisco also refers to both physical and
virtual items as being part of the Internet of
Everything. According to Cisco, "IOE brings
together people, processes, data, and things to
create value." make networked connections more
meaningful and useful than ever before—
transforming information into actions that
generate new skills, richer experiences, and
unparalleled economic prospects for enterprises,
individuals, and countries."
1.5 All-encompassing internet
Figure 2 Internet of Everything (source: Cisco)
The concept of IoT is spread in various fields of
life such as agriculture, healthcare, education,
transportation, cities and business. Technology
(IOT) in education has played a significant role in
connecting and educating students. IOT
technology has an important impact on the
education field. IOT has not only changed
traditional teaching practices but has also brought
changes in the infrastructure of educational
institutions.
To produce & and develop the interest of
students/learners towards learn as well as grasp
new skills and things speedy by using the
technology of IOT which can be securely utilized
in e-campus activities during this digital era.
1.6 IOT-based Smart Campus
In general, almost all university campuses are
connected to the Internet, and on each campus,
there are multiple objects like windows, doors,
projectors, printers, classrooms, labs, parking,
building, etc. Using sensors, RFID, NFC, QR tags
and such other IOT technologies, these objects
can be converted to Smart objects. A Smart
Campus can be a collection of multiple smart
things in a single system.
An intelligent campus may include the following
• Smart E-learning Application with IOT
• Smart IOT-based Classroom
• Smart IOT-based LAB Room
• IoT Sensors for Notes Sharing
• IoT Sensors for Mobiles Devices
• IoT-enabled Hotspot for Campus
Figure 3 IOT base Smart Campus.
1.7 IOT-based Smart Lab
It is said that "The college building (or campus) is
the lab." This thinking is part of a movement that
began in the EU, called Living Labs. Research
was conducted to combine several concepts
including IoT, the idea of a living lab, I-campus,
smart box design and Pervasive interactive-
Programming (PiP). The primary purpose of the
study was to teach the necessary programming

National Conference on “Future Computing Technologies for Sustainable Development” (NCFCTSD-24)
© 2024 DCSA, M D University, Rohtak ISBN: 978-93-80544-57-1
skills to novices using IOT and PiP together. A
total 18 participants including staff and students
participated in the evaluation of PiP. The results
of the assessment showed that PiP helped and
supported members of different backgrounds and
age groups to understand and practice the
programming skills effectively.
A study introduced a Lab development kit using a
set of sensors with Zigbee, and Raspberry
Pi/Arduino boards which support to offer wireless
communication in the lab. A module design
method was adopted for the course labware. A
survey was conducted to evaluate the Raspberry
Pi-based Lab kit, The results of the study showed
positive feedback from students.
Figure 4 IOT lab Image
Main components of IOT :
• Low-power embedded systems:- Less battery
consumption, high performance are the inverse
factors that play a significant role during the
design of electronic systems.
• Sensors : Sensors are the major part of any IOT
applications. It is a physical device that measures
and detect a certain physical quantity and convert
it into signal which can be provided as an input to
a processing or control unit for analysis purpose.
• Different types of Sensors:-
a) Temperature Sensors
b) Image Sensors
c) Gyro Sensors
d) Obstacle Sensors
e) RF Sensor
f) IR Sensor
g) MQ-02/05 Gas Sensor
h) LDR Sensor
i) Ultrasonic Distance Sensor
• Control Units : It is a unit of small computer on
a single integrated circuit containing a
microprocessor or processing core, memory and
programmable input/output devices/peripherals.
It is responsible for major processing work of IOT
devices and all logical operations are carried out
here.
• Cloud Computing : Data collected through IOT
devices is massive and this data has to be stored
on a reliable storage server. This is where cloud
computing comes into play. The data is processed
and learned, giving more room for us to discover
where things like electrical faults/errors are within
the system, etc.
2. Literature Review of AI
2.1 Year 2010
Introduction
Supporting collaborative learning and e-
discussion using artificial techniques : An
emerging trend in the classroom is the use of
networked visual argumentation tools that allow
students to discuss, debate, and argue with one
another in a synchronous fashion about topics
presented by a teacher.
Future scope
A key goal of such tools is to help students learn
to discuss and argue in a well-founded, rational
manner.
Conclusion
Students in classrooms around the world are
starting to use visual argumentation tools for e-
discussion.
2.2 Year 2013
Introduction
AI in methods in early childhood: This discussion
mainly concerns computer-based learning
systems incorporating intelligent methods(e.g.,
Intelligent Tutoring and adaptive Educational
Hypermedia systems) and educational robots
addressed to early childhood
Future scope
Approaches to enhancing the literacy of children
with special needs have also been successful.
Conclusion
Discusses issues regarding the application of
Artificial intelligence methods in early childhood
education.
2.3 Year 2014
Introduction
A critical conceptual analysis of definitions of AI
as Applicable to Computer.
Future scope
It converted to machine process soon after.
Conclusion
Artificial Intelligence is the mechanical
simulation system of collecting knowledge and
information and processing the intelligence of
universe.
2.4 Year 2015
Introduction

National Conference on “Future Computing Technologies for Sustainable Development” (NCFCTSD-24)
© 2024 DCSA, M D University, Rohtak ISBN: 978-93-80544-57-1
Computational Notebook for AI education: A
computational notebook is a document that can be
read like a Journal paper and run like a computer
program. Computational notebooks serve as an
archive format containing code, text, images, and
equations. Not only do these new tools broaden
the languages and contexts available to students
exploring notebook-based AI computing, but they
also offer a new mode of teaching and learning for
the AI classroom.
Future scope
Explore the effectiveness of Computational
Notebook.
Conclusion
Identified and explored the possible uses of
notebooks in AI education.
2.5 Year 2016
Introduction
Artificial intelligence as an effective Classroom
Assistant
Conclusion
Creating an AIED system for education like
Classroom Assistant
2.6 Year 2017
Introduction
New challenges and directions facing the use of
big data and AI in education research, policy-
making, and industry. This convenience and
embeddedness of data collection within
educational technologies, paired with
computational techniques have made the analyses
of big data a reality.
Future scope
The big data explosion and AI revolution can
bring new opportunities that can be best leveraged
for learning in Education
Conclusion
In this exploring trends in the domains of big data
and AI are associated with assessment,
individualized learning, and precision education
2.7 Year 2018
Introduction
Exposed the Kahoot! Game–based learning
platform ( AI application) which takes weekly
lectures for one semester.
Conclusion
This covers the Theoretical and Practical
dimensions of education.
2.8 Year 2019
Introduction
Development in AI, robotics and big data are
changing the nature of education. An examination
of technological developments such as
autonomous classroom robots, intelligent tutoring
systems, learning analytics and automated
decision making, highlights the capacity of AI to
replicate the social, emotional and cognitive
qualities of human teachers.
Conclusion
Education is one area of work destined to remain
the preserve of humans.
2.9 Year 2021
Introduction
A review of AI(Artificial Intelligence) in
education from 2010 to 2020 where analysis of
studies aiming to disclose how artificial
intelligence has been applied to the education
sector and explore the potential research trends
and challenges of AI in education.
Future scope
Provides a promising channel for educators and
AI engineers to will carry out further
collaborative research.
Conclusion
Provide insights into an overview of AI in
education domain, which helps to strengthen the
theoretical foundation of AI in education.
2.10 Year 2022
Introduction
Explored Adaptive learning, smart campus,
teacher evaluation, intelligent tutoring robots, and
virtual classrooms are only a few of the
applications of educational-AI.
Conclusion
AI has a beneficial effect on both the quality of
instruction provided by teachers and on the
learning outcomes of students.
Subheadings should be same as the above
headings “2.1 Subheadings” with font size 11.
They should start at the left-hand margin on a
separate line.
3. Literature Review of IOT
3.1 Year 1982
Introduction
Students at Carnegie Mellon University
developed the ARPANET –connected Coke
machine, which not only does the vending and
labelling of Coke but also allows the users to
control it via a remotely available interface.
Future Scope
This inspires a lot of investors all over the world
to create connected applications like the Coke
machine.

National Conference on “Future Computing Technologies for Sustainable Development” (NCFCTSD-24)
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Conclusion
IoT features make studying more convenient,
inexpensive, and accessible.
3.2 Year 1989
Introduction
Tim Berners-Lee proposes the World Wide Web
or the Internet, the packet switching network.
Future Scope
The Global Positioning System (GPS) becomes
available for commercial use, proving future IOT
systems with basic communication, and making
the development of interconnected devices easier.
Conclusion
For both students and teachers, IoT developers
have created technologies that are worthwhile to
invest it.
3.3 Year 1997
Introduction
In October, the first International Symposium on
Wearable Computers take place, where inventors
discuss the performance support of wearable
computers, input mechanisms, and
communication capabilities.
Future Scope
IPv6 is introduced in future to changing
communication technology. This is the version of
IP that we still use today!
Conclusion
Institutions might also hire a qualified Internet of
Things developer to build online student portals.
3.4 Year 2004
Introduction
The term “Internet of Things” becomes popular.
Huge publishers, newspaper, magazine etc.
Future Scope
The Internet-connected device, Nabaztag is
invented in future.
Conclusion
The IoT gadgets have been able to balance
contemporary schooling in ways that ultimately
benefit the entire global community.
3.5 Year 2010
Introduction
IOT becomes a major force in the consumer
market, with products like Nest thermostats and
Amazon Echo becoming popular household
items. Businesses continue to find new ways to
use IOT technologies to increase efficiency and
gain insights into their operations.
Future Scope
A company called Nest starts to manufacture
smart home appliances.
Conclusion
IOT in education is the future of academia, giving
learning opportunities to all students across the
globe.
3.6 Year 2020
Introduction
The IOT landscape continues to evolve, with 5G
networks beginning to be rolled out and new
applications for IOT technologies emerging
constantly.
Future Scope
Cryptocurrencies focus on IoT. The blockchain
was linked to IoT because of the abovementioned
security concerns. With the help of blockchain,
devices can exchange smart contracts in a secure
distributed environment.
Conclusion
IOT in education are allowing educators to do
their job more efficiently. It creating a more
powerful, dynamic learning environment.
4. Conclusions
The overall research educate about status of AI
and IOT in education and shaping smart
classrooms and campus using Artificial
Intelligence(AI) and Internet of Things (IOT)
applications. The AI and IOT paradigm is divided
into several sections which have determined the
sustainable impact on campus and classrooms.
From last decade the IOT and AI application are
grow so much advance that it is very important for
today’s generation to grasp these technologies
speedly in education and every field.
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National Conference on “Future Computing Technologies for Sustainable Development” (NCFCTSD-24)
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