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 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.
Education Management Institutions, Training and Consulting Industry, Universities
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