Student Performance Prediction Modeling: A Bayesian Network Approach
M. Ramaswami, Rathinasabapathy Ramadevi · 2012
In recent times, prediction of student's academic p erformance at higher secondary level examination re mains a difficult task. economic and other environmental factors for proposing an efficient prediction models. Moreover the selection of appropriate algorithm for model construction is also a non -trivial process. To this end, we explore the use of Bayesian networks for predicting academic pe rformance of higher secondary students in India, based on values of soc io economic and other academic attributes. We present an analysis on the data obtained from the students of the higher secondary schools containing 35 attributes with 5650 data obj ects. The paper explains the application of the Bay esian approach in the f of education and shows that the Bayesian network cl assifier has a potential to be used as a tool for p rediction of student's