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The Age Of Machine Learning

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Machine learning has come a long way in the past decade. With many interesting developments, machines are now capable of doing intelligent work without being explicitly programmed.

What is machine learning? You might ask. Machine learning is the ability of a machine(computer) to learn without being explicitly programmed. Sounds weird? But it has been made possible by artificial intelligence. There has been huge progress in cognitive science and neural networking.

Such a machine can take out inferences from huge data sets, help in research, business, learn the pattern and behavior of its users, learn a new language, find an outlier in billions of bits of data, help economists in making the strategy for a company or nation and can even help in defense. They can even learn from their past experience, just like humans. Yes, machines are getting intelligent. Machines can make sense out of complex data and provide pioneering developments.

 

The applications of machine learning that I just described are only a handful. Machine learning can be used in many other fields. In fact, machine learning has a very crucial role in the future of education. It can really change the education system we currently have.

Books have already entered the digital age. There are digital libraries where you can find millions of e-books. It helps in a better interaction between teachers and students. Students can submit their assignments and get their grades and feedback easily.

How Machine Learning Enhances Education?

The traditional teaching methods are changing. Machine learning has made computers smart enough to understand a student’s needs. The millennials have finally accepted the fact that one size doesn’t fit all. Every student has a different learning speed. Everyone has a different starting point and come from varying backgrounds.

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Machine learning understands the need of individual students and helps in creating more tailored and customized learning experience for students. Teachers can get the feedback on what their students are learning and how much of it they are really consuming. The guess work is off the table now.

With the crucial data about the students, teachers can now easily track their progress. Not only teachers but even students can get important information about their wards. A machine can even recommend the next steps to enhance learning. Teachers can scan the results and check whether the student or the whole class is able to comprehend a topic or not.

Machines can even recommend additional content to read to strengthen a particular area or subject. If a student is good at a particular subject then the machine can help him become better at it. Edtech firm Talentedge is one of the first ones to use machine learning to enhance the learning process and experience. It provides a new form of learning experience by recreating classroom type interactions in the virtual world. Interesting, isn’t it?

So, Whats Next?

This is just the beginning. Machine learning will become better and its applications in all fields will keep on increasing. Book authors can now update their books in real-time and the students will get to study the updated content just like we keep updating our smartphone apps.

With more data available, the books will have more precise statistics. Students will be able to provide real-time feedback. Dynamic scheduling can help those students match their timing with teachers they need help from. The teachers will still take important decisions about syllabus, assignments, grades, learning structure but those decisions will be more informed. It won’t be wrong to say it is the next big thing.

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