Today, AI technologies are used in different spheres of human life: from households to world-leading companies. Such enterprises as Apple, Microsoft, Google, etc., develop neural networks. SumDU departments and sections perform research based on mathematical knowledge, which provides their own AI inventions.

There’s little argument that data analytics can help higher education institutions to support their students and function more effectively. 

Used correctly, it’s possible to use data to monitor and boost engagement, identify students who are struggling with their studies and their mental health, and even manage buildings and faculty resources more effectively. 

Title: Did COVID-19 reveal a student engagement data gap? 

In a recent Pearson survey, 71% of university educators and senior support staff said that student engagement data is important, or very important, to their teaching and learning decisions (Student Data Survey, August 2021.)

Certainly, data analytics are becoming more prevalent in higher education; helping universities to make informed decisions on where to invest time and resources, and identify students who are struggling, or more at risk of struggling and dropping out.