How Artificial Intelligence is Transforming the e-learning Industry?

Artificial Intelligence (AI) isn’t simply an unpopular buzzword!
We see the word AI used everywhere, in social media, news as well as
during conferences. However, many people understand what it really
means. The term is frequently used to describe other sophisticated
algorithms that don’t qualify as AI even if they are AI-related.

What is Artificial Intelligence?

Sometimes AI is commonly used in conjunction with other terms such as
“Machine Learning ” and Deep Learning However, they’re not exactly the
same. In reality, ML is considered a subset of AI as well as DL is actually a
sub-field within Machine Learning.

Machine Learning is one of the most commonly used kinds of Artificial
Intelligence. Machine learning is used primarily to process large quantities
of data rapidly.
IBM says “Artificial Intelligence (AI) leverages computers and machines to
mimic the problem-solving and decision-making capabilities of the human
mind”.

What does it mean to be Artificial Intelligence in the context of e-
learning?

According to the e-Learning industry "An AI-based learning
platform is a computer system which is able to complete

various tasks that require human intelligence. It is able to solve
human-related problems such as speech recognition
translations, translations, decision-making and many more.

Why Use AI in e-learning?

The traditional model of corporate training has its own set of challenges
that include:

Too much content and too long:
Many traditional programs for learning comprise long-form modules.
Making an hour of these training materials takes an excessive amount of
time. It is a huge burden for people!

The lack of personalized learning experiences Because the process of
creating content is lengthy. E-Learning courses are typically too generic and
fail to meet the requirements of each employee.
Do not really monitor the effectiveness of your program The calculation of
the return on investment of traditional training requires long-running data
collection and entry procedures.

It’s not up to the current needs of the workforce in the digital age and
expectations. Training is no longer an event which is carried out only once
or twice per year, it’s a continuous process. Today’s workers (including the
majority of Generation Y and Gen Z) prefer to control their learning
experience as per the LinkedIn Learning report.
Implementing Artificial Intelligence to corporate training and e-Learning
courses specifically resolves some of these problems.

How Artificial Intelligence Is Transforming the e-learning Industry?

Businesses are becoming more aware of the benefits of the use of AI for
learning and development. According to 2019’s Gardner CIO Survey, 37
percent of businesses had implemented some form of AI, which is a
massive increase of 270% in the last four years. Additionally, the report
predicts that by 2021, 80 percent of the new technologies that are emerging
will be built on AI.

There are 4 methods Artificial Intelligence is transforming the
e-Learning sector:

Individualized learning paths:

Deliver the appropriate information to the right person at the right
moment:
Professionalization is no longer thought of as a need for the workforce of
today; it’s now an expectation. Your employees want content that offers
some form of personalized experience, where they’re the main characters.
e-Learning platforms that use Artificial Intelligence can customize content
according to the student’s current skills and preferences instead of offering
a standard method.

Learning that is personalized or adaptive is a data-driven method that
continuously monitors each student’s progress, employing machine
learning algorithms to forecast outcomes and adjust content to suit each
individual’s knowledge and preferences. Thus, if a student is working to
learn a new skill the system will adjust the content and the difficulty levels

according to the progress of the student until they’ve mastered the
concept. Making a customized learning plan for each individual student by
incorporating relevant subjects not only increases efficiency in time, but
also raises the motivation of students.

For instance, in order to understand a subject, an employee requires
multiple perspectives on the subject he or is studying, and especially in the
case of complex subjects.

For mechanical engineering in order to develop the internal combustion
engine the student must know how the engine operates in terms of its
components, as well as their interactions with one and each. To gain a
thorough understanding of the engine, they must look at different models
and consider the ways in which each differs, but it all is based on the same
principles and serves the same purpose.

The process isn’t linear and may not be the same for all students. Some
students may prefer to watch the video and then implement the concepts
in their daily lives while another might be able to better comprehend an
outline in a visual way while another might be able to comprehend the
concept by reading a thorough explanation of the process.

In the study of different disciplines, the process is similar to other subjects:
it’s not sufficient to use one method to completely understand a concept.
The various methods used, how they are utilized and the amount that a
student must rely on each changes from one individual to the next.
When using the traditional method of training it is one learning path and the
instructor/course creator determines the same sequence of content for all

students equally. Content is universal and cannot be adapted according to
the specific needs of each individual.

Incorporating e-Learning platforms into your system is the first step in
making more effective organizational development tools, AI on boarding is
the second. Through the analysis of user activity on learning platforms, the
content is tailored and personalized recommendations for learning and
content are provided to each student depending on their job as well as their
preferences and previous behavior.

It is the result of a highly dynamic customized, flexible and highly effective
method of training that is an organism that adapts to the specific needs of
each employee, and supports them in being the primary instructor of their
own education.

Better Decision Making: Advanced Analytics

In assessing the performance of your employees instructors, trainers
and/or instructors have common issues that they can take a lengthy time
to complete, and the data isn’t detailed enough.
But, with the help of the power of Artificial Intelligence in an e-Learning
platform, it is feasible to rapidly analyze large amounts of data and detect
patterns and trends in order to continually improve and optimize learning
experiences.
Particularly, it is a term used to describe e-Learning platforms that make
use of AI (specifically machine-learning) to improve learning courses.
Corporate leaders are able to not just develop and manage their e-Learning

materials but also get important data regarding student learning and
progress using the power of data analytics.
Artificial Intelligence allows Instructors and L&D managers to get precise
information regarding every student’s performance, weaknesses, weak
areas or even issues with attendance. This helps them make decisions and
to improve and act prior to the time when an employee isn’t motivated to
keep going and quits the program.

Create e-Learning Courses In Less Time

For the majority of instructors and subject matter experts design
professionals the creation of courses is among of the most demanding
tasks. However, the use of Artificial Intelligence in e-Learning helps to
make the process of creating courses easier, quicker and more flexible
without sacrificing quality.
Automatic translation and localization is a fantastic illustration that shows
what Artificial Intelligence is enhancing the process of creating e-Learning,
offering greater speed and efficiency.
Utilizing the most common development techniques using standard
development methods, translating e-Learning content isn’t an easy job.
With the quantity of content that has to be developed and made accessible
to multiple languages becomes much more costly and time-consuming!
However, with AI it’s now possible to create multi-language content that
can be used by global businesses that are facing the issue of creating
relevant content for branches across different countries, or for the ever-

present situation of businesses that have remote teams that speak various
languages.
With an authoring software like SHIFT, businesses can cut the time needed
to localize services for the e-Learning application from months down to a
matter of days, accelerating the process of development for projects that
require the content to be made available in several languages.

With Artificial Intelligence, assessments can be completed quickly and
efficiently and handle questions from students or employees in real-time to
speed up and enhance the learning process.
A good example is chat bots who "decides" what question to ask students
by analyzing the student’s previous answers, for example, asking questions
in areas where students have had the most inaccurate answers, or moving
to a higher level if the student has consistently entered the correct
answers. Another typical use is to provide answers to basic questions. The
AI algorithm could be able to gather the basic information such as an
incoming contributor may require. It is possible to present it as a chat bot
that can analyze and respond to messages in conversation as well as
questions from employees.

Chat bots and virtual assistants are able to aid both instructors and
students by helping students with questions that would otherwise have
been addressed directly to the instructor or helping students understand
the course in a more friendly manner.
Additionally, e-Learning platforms that use chat bots are a "guide" for
students to help them along the way, for example helping them find
relevant resources that match their profile and the topics of interest .

Chatbots can suggest various learning resources, reducing all the effort
and time it takes to complete the task by hand.

The Future of e-Learning

Over the past four years, the application of this technology within the field
of training and development was up 47.5 percent, and the investment on
artificial intelligence technology is predicted to rise to $190.61 billion by
2025.

In the near future we can anticipate that many of the processes that
currently depend on us will soon be controlled by artificial intelligence. But
this isn’t a reason to be worried: this just means that the people are better
educated and better equipped to handle more challenging tasks.

Through harnessing the capabilities of Artificial Intelligence Companies
can offer personalized education at the scale of their business to save
teachers and students time, which allows them to concentrate on more
crucial tasks. In addition, thanks to the benefits that we have discussed
previously including the ability to adapt learning and advanced analytics
and optimizing time in the process of creating employees will be more
active and engaged in learning, which results in better outcomes and higher
productivity.