Almost every sector has
Big Data as an integral part, therefore, it is time for the education sector to
deploy Big Data as well. In order to improve pedagogy, newer technological
tools have been used by a lot of education hubs. Today, an Indian student has
access to data and resources available anywhere in the world, which was
impossible a couple of decades ago.
Big Data is essentially
large sets of data that need to be studied in order to find insights that help
a business grow. Business managers can be able to make better decisions because
of Big Data uncovering hidden patterns and correlating insights. In the
education sector, too, Big Data and machine learning together are creating a
stir. While machine learning and its application has been around since the
1970s, it has gathered momentum thanks to artificial intelligence and Big Data
Analytics. Given the pace with which things are changing, Big Data will
certainly bring a revolutionary change in the education sector. Machine learning
is basically data-mining which helps teachers accumulate all the information at
one place. It helps teachers improve their teaching methodology by focusing on
the strengths and weaknesses of each student.
Apart from benefiting
students, it helps teachers in various ways. Some of its visible advantages
are:
Becomes an assistant of teachers:
It is certainly difficult
to manage a class of 80-plus students, also considering that each student is
different and so is her intelligence quotient as well as learning style.
Machine learning can serve as a great aggregator for learning by helping the
teacher shed some of the administrative weight. Teachers get more freedom to
devise courses and provide customized learning experience for students as per
their learning capabilities.
Predict performance of students:
Teachers can be able to
analyze the performance of students in both academics and sports by using
machine learning and Big Data. The speed of an individual and her competitor
can be marked, and thus the strengths and weaknesses can be worked on. Also,
indicators like time taken to answer, sources referred to, types of questions
skipped can be ascertained and analyzed. This, in turn, makes the assessment
more personalized and holistic. It allows teachers to measure, monitor and
respond in real-time to a student’s understanding of anything.
Tests students:
The method of ‘one size fits
all’ is obsolete. Today, artificial intelligence can help provide feedback to
teachers, parents and students regularly—clearly charting out the weak links,
interests and areas of concern as far as the student is concerned. This helps
both the student and the teacher to understand the sort of development and
progress they have made towards their goal. This, in turn, can help create a
corrective action plan based on real-time data.
Provides customized learning:
With Big Data, it is
possible to provide a customized learning experience to each student. The
learning and the behavioral patterns of each student will be provided for
teachers. A customized learning experience can be created by using these inputs.
In addition, classrooms can have groups based on the assessment the teacher
receives through artificial intelligence. Besides ensuring a better learning
experience, Big Data makes it possible in minimizing dropouts and disengagement
amongst students.
Helps in recruitment:
Because of Big Data, it
has become possible for colleges to analyze the potential employability of a
particular student in a particular job vertical. This, in turn, can help them
direct their as well as the student’s attention towards preparing for a job in
that particular vertical. This can save a lot of time and energy for potential
recruiters, and can aid colleges in successfully placing a majority of their
students, thereby boosting their placement figures. For companies, it can
ensure a better person-job fit and lesser turnover. The transition from
traditional learning to learning aided by Big Data is happening at a rapid
pace. It is the need of the hour and warrants a speedy acclimatization for all
concerned. Towards that, active collaboration between academic institutions,
government bodies and the private sector should be encouraged in order to stay
ahead of the curve.
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