Abstract:
The education system is drastically changing around the world, a digital
approach to the provision of education has taken a huge stance and is helping
students all around the world when It comes to studying any subject matter.
There are several online learning platforms through which anyone can get the
desired learning material and study. Throughout all the learning platforms
online, personalisation of material has become a key factor when it comes to
providing material to users. This helps the platform gain more usability and
improve satisfactory levels of students as it gives them a personalised
experience when it comes to studying.
This research study tries to understand some of the added parameters that
could be taken into consideration when it comes to further personalising the
learning content that is provided to the student. Parameters such as “Subject
Matter”, “Preferred Learning Style”, and “Current State of Knowledge” are
taken into consideration in this project in order to make the process of looking
for leaning material online more efficient and improving the personalisation
experience to the students.
For the purpose of this research study, a limited dataset that included the
parameters mentioned above, and for the prototype, URL’s of learning
material from online sources such as YouTube and W3 School were used in
order to generate the output for the given requirements. It was deemed
effective and time saving when It comes to adding further personalisation with
the use of the parameters taken into consideration in this project.
