AI Enabled Data Analytics

As students navigate their way through higher education, they often encounter significant obstacles during early years that causes them to drop out. These obstacles include lack of engagement, difficulty in understanding course materials, and poor performance on assessments. This is where AI-enabled data analytics can make a significant difference.

Using machine learning algorithms to analyze large sets of data, we are able to uncover patterns and insights that would otherwise go unnoticed. In higher education, this technology can be used to improve student engagement, identify areas where they are struggling, and provide personalized learning experiences that help them succeed.


One way AI-enabled data analytics is being used in higher education is through the creation of mock tests and question banks. By analyzing data from past exams, these tools can generate customized assessments that are tailored to each student’s unique learning needs. This not only helps students to perform better on exams but also provides them with valuable feedback that they can use to improve their understanding of course materials.


There are many ways in which we are continually exploring the use of AI, by providing students with personalized learning experiences that help them succeed. This technology has the potential to significantly reduce dropout rates in higher education and improve academic outcomes for students.