discussion on e-learning solutions for students issues of
TRANSCRIPT
Design Engineering
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Discussion on E-Learning Solutions for Students – and
Issues of Technology Application in Classroom
Dinh Tran Ngoc Huy, MBA,
Banking University HCMC, Ho Chi Minh city Vietnam - International University of Japan, Japan
Trung-Hieu Le, Master
Dai Nam University, Vietnam
Tran Duc Thang, PhD,
National economics university (NEU) Hanoi Vietnam
Nguyen Thi Hoa, PhD
Thu Dau Mot University,Binh Duong Vietnam
Ly Thi Hue, PhD (corresponding)
National Academy of Public Administration, Vietnam
ABSTRACT
E-learning solutions have changed the way of teaching methods and learning styles of students. And
in modern education we need innovation approaches in teaching methods at our universities and
colleges. Authors mainly use qualitative methods including synthesis and inductive and explanatory
methods.
The study results show us that not only in companies and banks, but also in schools and universities,
teachers and students can take advantage of Internet of things (IoTs) to connect via internet and
deliver lecture notes in a system that saves transportation cost and money for learners. Hieu, L.T.,
Huong D.T., Huy, D.T.N et al (2021) mentioned that assessing the behavior of learners in the class
from the video combined with a number of algorithms brings high accuracy. On that basis, adjust the
content and teaching methods suitable for each learner.
Moreover, this study also presents technology application such as video camera to observe learners
behaviors and attitudes in order to modify teaching plan to suit to their needs. Last but not least, IoTs
and AI applications in education also need to be enhanced to improve learners attitude, skills and
knowledge (ASK) for jobs.
Key words:e-learning, students, universities, quality of teaching, technology applications
1.Introduction
First, we recognize the importance of e-learning in modern education.
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Online education (also known as e-learning) is a method of virtual learning through a networked
device to a server in another place where electronic lectures and necessary software are stored.
/request/problem for students to learn online remotely. Teachers can transmit images and audio via
broadband connection or wireless connection (WiFi, WiMAX), local area network (LAN).
Expanding, individuals or organizations can create their own online school (e-school) where they
still receive training, pay tuition and have tests like schools. is different.
(source: wikipedia.org, access date 12/9/2021)
For e-learning, case teaching methods can be used for individual case analysis and assignments, as
well as for group assignments and homeworks (case write ups).
Case studies use theory to study and analyze real-life situations and help students to solve real
problems, suggest solutions and identify theories.
Research questions
Question 1: What are SWOT analysis of e-learning solutions?
Question 2: What are AI and technology application in education?
2. Literature review
First, Arasu et al (2014) found the Internet has revolutionized services across institutions
ensuring greater customer-satisfaction. This has also brought into perspective the security
Second, Trung-Hieu Le, Do Thu Huong, Dinh Tran Ngoc Huy et al (2021) stated Automated
learning behavior analysis of learners is becoming an essential topic in the field of education,
where effective systems are needed to monitor learning progress and provide necessary feedback
to instructor activities. teach. Recent advances in the application of computer vision allow
automatic monitoring of behavior and attention status of learners at different levels, from
elementary school students to college students
Then, We summarize previous studies as follows:
Table 1 – Summary of previous studies
Authors Year Contents, results
Arkoful 2014 people and institutions have shared
globally on the adoption and
integration of e-learning technologies
in education through surveys and
other observations. It looks at the
meaning or definitions of e-learning
as given by different researchers and
the role that e-learning plays in
higher educational institutions in
relation to teaching and learning
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processes
Richard and Haya 2009 The Internet has become one of the
vital ways to make available
resources for research and learning
for both teachers and students to
share and acquire information
El-seoud et al 2014 One of the main reasons for e-
learning development is it gives
students' greater access to education
in comparison to traditional methods
of teaching as students can undertake
their study from anywhere and at any
time as well as being given the option
to study part-time or full-time
Basak et al 2018 the terms of electronic learning (e-
learning), mobile learning (m-
learning), and the digital learning (d-
learning) are used indifferently or in
a complementary way to mean
technological learning. E-learning is
the alternative of traditional
education and it can also be a
complementary to it. On the other
hand, the m-learning is the
complementary of both traditional
learning as well as e-learning.
Trung-Hieu Le, Dinh
Tran Ngoc Huy, Le Thi
Thanh Huong, nguye
Thi Han
2021 n emerging markets such as Vietnam,
Human activity recognition is to
identify the type of human activity
from the received signal stream
(image, accelerometer, etc.). This is a
topic that has received a lot of
attention from researchers and has
opened up a new trend in robotics
interaction in recent times.
Rawashdeh et al 2021 Stated in UAE, 81% students stated
that e-learning provides scientific
material in an interesting way.
Similarly, 80% students have
responded that e-learning increases
the possibility of contact between
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students among themselves and
between the students and the teacher.
73% students indicated that due to
increasing social isolation, they
spend more time in front of the
technical means of social interaction
account and face-to-face with others.
70% students have indicated that
there is a presence of electronic
illiteracy among parents, which
reduces their ability to follow their
children electronically
Trung-Hieu Le, Dinh
Tran Ngoc Huy et al
2021 Hand gestures have been shown to be
an efficient way for human-machine
interaction. Authors presents a new
way to capture hand gestures using
the wrist-worn camera. The wrist-
worn device is designed as a watch
with an integrated camera that is
much easier and comfortable to wear
in daily life context
3. Methodology
Authors will present and example of SWOT analysis of e-learning solutions. Analysis used with a
combination of quantitativemethods and qualitative methods including synthesis, inductive and
explanatory methods.
For technology application, we recommend to use SVM method for gender of internet user
prediction during e-learning process.
Trung-Hieu Le et al (2021) stated With the selected data set classified into 2 labels male and
female (male and female), from practical tests, the SVM method has the ability to classify quite
good for 2-class and multi-class classification problems as well as in many applications other
(such as classifying text by subject, detecting faces in images, estimating regression, predicting
software errors, etc.). Compare with classification methods Otherwise, the classification power of
SVM is equivalent or significantly better. Because of the Therefore, the thesis has chosen this
method for predicting the sex of people use the internet.
4.Main findings of our study
4.1 E-learning benefits
First, students can use laptops, tablets, mobiles to connect teachers and classmates via internet
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Second, E-learning is completely constituted based on information and communication technology,
including: network technology, design - graphic engineering, calculations, motion technology,
simulation technique, …
Third, Minimizing the cost of renting space or buying land, buying a location to build a school site,
the cost of buying teaching tools, minimizing the use of electricity, water, paper, pens, ink, etc. …
Thanks to E-learning, teachers do not have to print a lot of paper for tests.
More details we see in below section:
4.2SWOT analysis of E-leaning solutions
We present in the below table:
Table - SWOT analysis
Strengths
- Students (even officers) can study at
work, at home, at schools, at cafe, etc.
- Save transportation cost, save money
- Flexible for students, they can adjust
their study timetables
- Use advances of internet of things
(IoTs) connect teachers and students via
internet
- Emphasizes self-learning and reading
skills for students at home, based on
online materials and lectures and e-
books and question banks online
- can include videos guiding practices
for learners
- supported with advisors to answer
students questions, and may be with
help of teaching assistants
Weaknesses
- Lack of direct, face to face
communication between teachers and
students
- Machine-human interaction not much
emotions
Opportunities
- expand IoTs and AI applications for
education and e-learning via forum
discussion, seminars, webcam,
conferences, etc.
- cross-border education used e-
learning
- expand audio and video lectures
Threats
- Sensitive images and pictures of
teachers and learners can be disclosed
via online teaching, webcam, etc.
(source: made by authors)
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4.3. Technology application in e-learning or online learning
A. For predicting gender of internet users based on history access during e-learning:
In recent years, the classification method using Support Vector Machine.
Support (SVM) is interested and used a lot in the fields of identification and classify. The SVM
method was born from the statistical learning theory built by Vapnik and Chervonenkis and has a lot
of potential for theoretical and technical development.
application in practice. Practical tests show that the SVM method has The classification ability is
quite good for 2-class and multi-class classification problems as well as in
many other applications (such as text classification by subject, face detection in
images, regression estimation, software error prediction, etc.).
In addition, Gender determination to classify internet users is done performed by machine learning
techniques, using information about users who know their gender and information about their web
browsing history to train the machine to recognize the gender of other users when we only know the
browsing history. sites and catalog data of interest to the person.
Benefits of video camera recording learners behaviors:
- We can identify which learning programs to attract more their attention then we can adjust our
study programs to best suit to their needs or even change teaching methods.
B. Hand gesture recognition via human machine interaction
Thanh Hai Tran, Trung-Hieu Le et al (2020) presented a pilot study on hand posture ecog-nition
using a wrist-worn camera. We successfully designed and prototyped a wrist device that is able to
capture images of human hand gestures. We collected a set of ten postures by 10 volunteers with
the prototyped device in the context of home appliance control. We then evaluated the
performance of state-of-the-art deep learning models YOLO and SSD as posture detectors and
classifiers over our self-collected dataset.
Preliminary results demonstrate that although the limitation of camera angles, fingers’
configurations are highly distinctive for nearly perfectly recognizing the postures. This pilot gives
the first original dataset of hand posture captured by wrist-worn camera and show the feasibility
to recognize them, which are highly promising for human-machine interaction as well as home
appliance controlling applications. In the future, we will evaluate the method with continuous
video streams in combination with some multimodal sensors like accelerometer or gyroscope,
conduct the dynamic hand gesture recognition and deploy the application of home appliance
control.
C. For identifying gender of internet users in our e-learning programs:
In general, the most frequently performed activity on the Internet by users is to gather information,
such as reading news or using search sites. More than 90% of Internet users have used search sites,
about half of them even use it every day. The Internet is also used for research for school or work by
half of all people using the Internet once a week or more often. With new interactive websites and
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online applications, users not only have the opportunity to find information, but also contribute their
own piece of content.
E-commerce today, the number of visits achieved significant growth. Most popular sites are auction
and sale sites, where 40% of users have visited. Online banking is still in its infancy. The use of
online shopping and online banking websites has grown tremendously over the past few years.
Figure 1- Online activities used by network users
(Source: Cimigo NetCitizens)
The use of activities and internet access differs between men and women. On average, men spend
more time on the Internet a day. Men also have some of the same online activities as women.
However, there are specific differences such as men's tendency to access features such as breaking
news, football, or games and men's products. On the contrary, women are more interested in
shopping, e-commerce, chatting and participating in social networking sites and blogs.
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Figure 2- Online activities by network users by gender
(Source: Cimigo NetCitizens)
Gender Prediction (or Determination Gender or Gender Prediction) is a method of classifying and
identifying activities accessed by either Male gender or Female gender from other activities with
known labels. For example, an article in a web page can be accessed by either male or female gender
(such as sports, education, law, information technology, cosmetics, clothing, etc.). The classification
can be done manually: read the content of each activity and assign it to a certain label. However, for
a system with a lot of records, this method will take a lot of time and effort. Therefore, it is necessary
to have an automatic method for gender classification. This method helps to determine gender with
high accuracy and is used for purposes such as learning, research, business, and commercial
marketing.
Below is a drawing depicting the process of gender determination problem:
Figure 3 - Process of gender prediction
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Benefits of gender prediction of internet users:
- We can know male or female students will prefer to choose which study courses or learning
materials and e-books, then we can adjust our e-learning programs and plan to suit to their needs.
5. Conclusion
Our study results: e-learning education has many benefits and save costs for learners. We need to
research more on technology applications for e-learning including video camera to record
learners behaviors during learning process and prediction of gender of internet users during e-
learning courses selection.
Besides, authors also suggest to use SVM method to Collect complete, rich large datasets of access
histories of internet users in e-learning using.
Based on many features to contribute to improve classification ability and
determine the user's gender applied to practical problems then Improve performance, increase
processing speed, and we can improve our e-learning services.
Duong Thi Tinh, Nguyen Thu Thuy, Dinh Tran Ngoc Huy (2021) also propose recommendations
for teaching methodology to students at all levels from undergraduate schools to doctoral and
even associate professors.
Huy, D.T.N., Hanh, N.T.T et al (2021) said that Teachers need to improve quality of teaching via
teaching methods and e-learning might be a good solution..
Limitation of research
We can expand our research model for other industries and other markets.
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