Students’ Academic Performance Augmented Analytics Use Case

Predictive Analytics for Students’ Academic Performance

The Objective

Early prediction of students’ academic performance as well as identifying the factors influencing their performance can help decision makers to provide the needed actions at the right moment, and plan the appropriate training in order to improve the student’s success rate.

The Solution

The business will use the tools provided in assisted predictive modelling to identify influencing factors impacting student’s performance like educational stage, course topic, number of visited resources, attendance, nationality, parent responsible for student, number of times student raises query in class, gender etc. and help them improve their academic grade by assisting them in making decisions based upon the impact of surveyed factors.

This Technique Can Be Used in Many Industries, Including

Education Management Institutions, Training and Consulting Industry, Universities


We invite you to explore our Advanced Analytics Use Cases here to find out how the Smarten Augmented Analytics product can help you to achieve goals and sustain a competitive advantage.
For more information, Contact us today.


Coming soon!