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Higher education needs to be improved to improve the experience of students, faculty, and staff. This can be achieved by using new technologies. Although machine learning is the new revolution in higher education, it can bring about remarkable positive changes in this area. In this article, I will explore a few ways in which machine learning can help to improve the education system in the near future.

Some companies have developed software that predicts how well a student can excel in education and early school leaving opportunities. Based on the repetitive actions of the student, the programs recognize their weaknesses and consider whether they can lead to an eviction.

The use of machine learning improves transparency and accountability in the rating system. As a result, students ‘grades are not influenced by the teachers’ attitudes but depend solely on their performance. But even in this case, the help of teachers is always necessary.

Do not worry about the availability of teachers. The machine learning program assigns the students to the available teachers. No more appointments or you have to look after another meeting in your busy schedule. New classrooms strive to create an individual schedule for the students based on their program and learning speed. It also relieves the students from planning the meeting platform. The students come the way they are and the program adapts to them. This makes learning more comfortable than before.

Not only do the machines aim to show the students’ level they also provide feedback through analysis of the data and their recent work. The machines are based on the student progress analysis program. The same procedure will apply to teachers so that a teacher can also know where to change his work. During this time, students learn about their knowledge gaps, areas where improvements are needed, and methods to get better results.