The Future of Machine Learning Applications in Education

When most students hear about machine learning, they believe that it means that there is no teacher or some alien technology involved. In truth, things are more prosaic as the education system has only started implementing innovative machine solutions in practice. There are online video lessons and automatic guides that help students proceed through the course, yet machine learning goes further than that.

It also stands for mobile learning applications, video surveillance systems, and artificial intelligence, which are used on a daily basis. The future of such an approach is most likely to develop in terms of learning assistance and providing help akin to what a physical teacher offers. It will always evolve according to human needs, yet it should not be seen as a substitute for existing practices or an actual psycho-social interaction between educators and students. The key is to implement machine learning wisely and study the benefits.

How Machine Learning Enhances The Educational System

While there are complex medical solutions that are beyond the scope of learning tools, the most obvious machine learning trend of the future lies in speech recognition and text processing instruments. Think about how Grammarly lets you check any document for things like grammar, spelling, style, and structure to understand how much space there is to explore.

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There are also voice assistants that machine operators, drivers, and busy individuals use all the time when they need to find crucial information or check the facts. Although the use of services like Cortana or Siri seems natural these days, machine learning technology has come a long way to make it accessible and simple in use.

One more example of future technology with machine learning involved is a risk monitoring system, which sifts through large amounts of information to find similarities and highlights any events that look risky. It also involves artificial intelligence algorithms that help match students with the best experts in a particular field according to specified parameters.

Another aspect of artificial intelligence that will make the news in the future is a way how machine learning is implemented in vehicles and general transportation. We all start our learning process with the driving instructor but once we are left on our own, there is not much a person can do. A helpful solution that instantly comes to mind is a current offer by the Tesla company.

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The examples include motion detection, high sensitivity sensor systems, and deep learning technologies that function based upon self-education. If it sounds too complex, think over Python programming or Java scripts where actions change according to a situation. In this way, the user does not have to follow a specific route but is free to function within a natural environment.

A more complex function of machine learning that is currently used in the educational system, especially in Engineering courses, is computer vision. Starting from simple image recognition to text analysis and processing of how a person does a certain task, a computer with relevant devices recognizes whether a specified task is followed to a letter. Practical examples include aircraft pilots, data scientists, programmers, architects, and all kinds of engineers who train themselves with the help of diverse simulators.

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Machine Learning Shadowing Education

Unfortunately, there are skeptics among educators who believe that machine learning is shadowing education and makes things overly complex. There are mobile applications that do all the work for the students and replace the human factor of making a mistake. The reality shows that machine learning will never replace an actual teacher since it acts as useful assistance that helps to train automation during learning and brings routine tasks to perfectness.

Since more universities offer distance learning courses, machine learning makes it possible to analyze online course materials, eliminate mistakes, and make things more human, based on user feedback. In addition, it helps to improve existing lessons and assists the teachers as they develop new materials or check large amounts of the same homework assignments. Improved grades of students that choose home-schooling with a lot of machine learning involved show that AI-based solutions are the future!

About the Author

Connie Elser is a writer. Try British Edubirdie.