Forecasting the Performance on Online Based System Using Evolutionary Programming Approach

The online educational technologies offer many researchers and the student that provides exclusive opportunities of learning new possessions and gives the guidance of approaches to lead for success. The online based system collects the information and data on patterns. These data are included into the databases based on data mining applications. This paper focuses on students and online learners by predicting their performance based on the grade and the data which is included in the database. We implement a series of patterns classification and identify their performance based on the data which is logged in. Here, we have used the Genetic Algorithm for identifying the weighting of the learning process. The Genetic algorithm is used to improve the accuracy of the performance prediction.