Education
Business Review suggests that the machine learning
in education sector is expected to grow at a CAGR of 46.7%, globally. Education with traditional methods is an
outdated process that requires extensive human effort from both course instructors
as well as students. The instructors need to prepare teaching materials,
manually grade students’ homework, and provide feedback to the students on
their learning progress. Students, on the other hand, typically go through an
extremely burdensome “one-size-fits-all” learning process that is not
personalized to their abilities, needs, and learning context. Education industry is
moving away from traditional book learning techniques that do not reflect the
complex reality to more immersive methodology involving all the students who tend
to learn and grasp concepts at different speeds. Education industry has been revolutionized
by introduction of the concept of machine learning. The use of digital books
and adaptive learning allows for a much more tailored and customizable learning
experience because teachers have the data on what students are exactly
consuming and how they’re coming up with what they have to learn.
The use of this technology can help institutions to make student path
predictions. Machine learning shall analyze the repetitive actions of the
students and helps institutions understand the problem being faced by the
student and if immediate action is required on the student. For instance Market
Research Reports for Education reveals that if a student is facing
problems in writing then the machine shall help the teacher understand how
grave the situation is and whether the student will be able to overcome this
problem with immediate action or with proper time and attention. The teachers
shall not have to undergo tedious grading mechanism and can devote adequate
time to important activities. With the introduction of machines into the
grading mechanism, the chances of biasness towards any student are eliminated.
The machine can analyze the current curriculum along with the student’s
performance and suggest changes in the curriculum if any are actually needed.
Not only this, it can even provide insights as to the changes in teaching
mechanism or even introduction of newer more better methods. Machine Learning has the potential of
organizing the content and curriculums in a better way, as it can analyze what
works best and which concepts are understood better with certain techniques. As a result,
the efficiency of education grows significantly and the students are happy
because they get to learn important things in a way that they are comfortable
with.
Machine
learning software’s are being developed by many companies and startups around
the world. Some major startups working in this segment are Querium Coporation
(US), Metacog (UK), Bridge U (UK), Volley Labs (US) and Symbolabs (Israel).
Symbolab’s machine learning algorithms understand the context and
meaning of the queries to assist to provide a much better response to the
queries.
With a high
growth rate this technology shall witness huge growth in the coming 10 years
because of developments in both machine learning and artificial intelligence.
Machine learning in education is making it
possible for people everywhere to access a wide variety of information to
better educate them from an early age. It can be adapted into smart toys for
children and be integrated into platforms for older kids to prepare for
college. Machine learning is disrupting the education industry by changing the
way we access education information.
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Ankur Gupta, Head Marketing & Communications
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