How Artificial Intelligence may influence Higher Education?

Alexander Weis
Edgecoin Blog
Published in
2 min readAug 15, 2019

Universities use data analysis and ML to enhance their capacities of learner support.

Universities use ML platforms to help learners improve their achievements. The system forms a “digital trace” of students: collects information about the events in which they participate, completed tasks and achievements. Using machine learning technologies, taking into account the knowledge, skills, and interests identified and analyzed by each user, these or those educational programs and events collected on the university’s platforms are recommended. In the course of work with the service, each user forms a set of confirmed competencies, the level of which grows with further activities.

Digital transformation is a particular focus among universities that want to meet the demands of modern students.

The combination of data analysis and automatization allows the universities to follow their students’ progress to make sure the lagging students get the help they require to finish their formation.

This approach consists of providing the auxiliary staff that plays a vital role in the life of any student. It allows them to keep abreast and help the learners reach their academic purposes.

City colleges believe that artificial intelligence is essential for academic success

Some colleges started to use machine learning to detect and provide assistance to the students at risk of getting kicked out of the university.

IT has asked the university staff about the main characteristics of successful students. We have also asked these learners to give recommendations to the lagging students. The survey may help to create a perfect ML model.

During the first half of the school year, almost 1000 teachers and employees called the failing students and offered them a particular training program, based on the requirements of every student.

The research involved more than 15000 students at risk of being kicked out of the university. By the time of examination, the dropout rate decreased by three percentage units, which means that about than 3000 additional students complete to finish their education.

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