Convergence Of Machine Learning With Education Sector Market Outlook : Ken Research

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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 Education with traditional methods is an outdated process that requires extensive human effort from both course instructors as well as students.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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https://www.kenresearch.com/education-and-recruitment/education/SC-99-81.html

Related Report  : –

https://www.kenresearch.com/education-and-recruitment/education/education-united-kingdom-isic-80/144456-99.html

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