PERSONALISATION, ON-DEMAND AND
PREDICTIVE ANALYTICS: E-LEARNING’S
NEXT LEAP FORWARD

Introduction:
While online learning gained popularity in the 90’s, off late it has
gained further traction. With the Covid-19 pandemic and its
associated lockdowns, e-learning has emerged as one of the
prominent uses of technology in the 21st century. E-learning as
an educational experience is delivered electronically. It
comprises many elements such as live or pre-recorded lecture
content, videos, quizzes and other interactive elements.
While schools, colleges and other educational institutions shut
down in early 2020, e-learning emerged as a saviour.With the
gaining reputation of e-learning, many students and working
professionals have started finding the easy, accessible and ‘at
your own pace’ learning mode a friendlier way of educating self
and others.Thus, it can be safely assumed that the e-learning
market is well poised for a boom; researchers conclude that the
market size of the industry will grow by 10.85% by 2025.

To make learning a holistic and egalitarian experience work for all, it is
important for e-learning companies to create a personalized and
accessible user experience. Big data tools such as personalization, on-
demand learning and predictive analysis are helping the e-learning
industry today to multiply, both in terms of scale and impact. Before
we move onto exploring what role they can play in the future of
education, let’s first take a deep dive into what these terms mean.
Personalization:
The word ‘personalization’, mostly used in sales and marketing is a
popularly used term. Simply put, it means, one size does not apply to
all. Firstly made popular by brands like Google andAmazon,
personalized experience became a raging success with custom made
services and communication for customers.The same personal details
like name, birthdays and favourite colours that are used to tailor gifts
for spouses and friends are amplified today by e-learning companies to
tailor learning experiences based on learner needs.This has entailed
higher learner engagement and improved performance.

On-Demand:
While the meaning of ‘on-demand’ is self-explanatory, in the
realm of e-learning it would imply ensuring availability of
learning solutions to the learner, anywhere and at any time. Post
pandemic, millions of students are out of school. On-demand e-
learning solutions guarantee easy access to quality course
content and premium educators to learners from around the
world
Predictive Analytics:
‘Predictive analytics’ is a tool that uses data, statistics and
machine learning techniques to predict the likelihood of future
outcomes based on available data. It has transformed e-learning
by leaps and bounds. Educational institutions have been
managing data for many years. Predictive analytics is a
technology breakthrough when it comes to capturing
educational big data.

E-learning’ next big leap :
The rapid proliferation of mobility devices has resulted in a situation
where nearly all school students have a mobile device. With an
explosion of the world wide web, innumerable small mobile devices
have access to the internet.The affordability, accessibility and
common usage of mobiles/ other internet devices makes e-learning a
highly plausible vehicle of learning. So how can it become more
democratic?
While personalization has existed in people’s lives for a long time,
personalised learning has evolved as a new novelty in e-learning. It is
the first step for tailoring content, pedagogy and learning
environments to meet individual learning styles and learner needs.
More than just individualization or differentiation, a personalized e-
learning process enables students to customize several learning
elements in their online learning process.This usually means that they
set their own goals, pace and communicate with instructors to proceed
as per their comfort. Ideally this indicates that the student is in charge
of his/her learning and has a direct say in their education.

So, why is personalization important?
Each learner is different. For example – some learners perceive
audio better and others video;
Every learner has a different coping speed. Some can learn large
materials in a short time while others can cope only with small
amounts;
Most learners have an independent and individual learning style.
While some may like studying on the PC, others prefer a mobile
phone or a tab.
One size does not fit all. Each learner is different and comes from
a different place of learning.

On-Demand Strategy
On-demand is a strategy for learners to access knowledge based
content anytime, anywhere. With ongoing education and
learning an imperative for every organization, the question for
professionals globally is: what are the best ways to deliver
relevant and meaningful learning to multi-generational learners
in today’s highly competitive world?
Technology, as always, has the answer to this question.
Consumers and companies dominate the world in exchanging
data.This data consists of millions of questions pertaining to
multitudes of products and services, everyone expects
information whenever they have an internet connection.
In the context of e-learning and especially with millions of
learners, where each one of them differ from one another, on-
demand e-learning contains elements such as flexibility,
effective user engagement and leveraging the on-demand
nature of the content, be it with respect to business or education.

The on-demand economy is here to stay and is yet to reach its
fullest heights. However, technology will continue to
revolutionize e-learning by conjoining it to on-demand learning.
Whenever that happens, guided, self-paced learning formats and
addressing the growing need to learn in a time-crunched world,
will continue to be a priority.
In the context of e-learning, predictive analysis, a form of big
data, is generated when a user engages on the Learning
Management System, LXP or mobile app solution. For example –
when a learner completes an assignment, their progress or
results generated becomes a part of the “big data”.
Globally this data is gathered, analysed and decoded to be
turned into intelligence.

Some insights gathered:
1. Gain insights on learning and knowledge gaps.
2. Preferred methods and modes of conducting learning events
for learners of all age groups
3. Understand and approach strengths and weaknesses for
future learning strategies
4. Understand how to personalise and customise an individual’s
learning journey to improve the ultimate user experience
along with the desired results.

FinalThoughts:
The world around us is rapidly transforming alongside a growing
number of diverse students. All the three tools and processes
mentioned above are useful for educational and professional
organizations that work on complex data.This in turn is making
best learning solutions available to students. It also provides
tailor made learning that is accessible, with data insights that can
improve learning for the future generations.
Like other businesses, if you too are looking to develop IT
Solutions in e-learning industry, Mindfire Solutions can be your
partner of choice.We have gained significant experience over the
years working with Edtech Companies.We have a team of highly
skilled and certified software professionals, who have developed
many custom solutions for our global clients over the years.

THANKS YOU
Contact Sales
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sales@mindfiresolutions.com