Student Performance Prediction in Higher Education Using Lion – Wolf Optimization Algorithm
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 12
Abstract
Students are the future of the country and their education qualification becomes highly important for the growth of the country. Predicting the performance of a students with the help of prediction models, is the one of the recent trends in Data Mining area. Analyzing the factors affecting student’s performance is the prerequisite that must be made before designing the performance improvement program. One of the greatest challenges each higher education institution facing currently is predicting the performance of the student. The main purpose of this research is to analyze and identify the factors such as schooling, family background that influence the students to select the area in higher education. There were several attempts made to predict the performance of the students, to achieve highly qualitative education, but the prediction accuracy is not acceptable. On the various researches done on Neural Network based methods, it is expected that this method can be adopted to predict the student’s performance with more accuracy. We have proposed a prediction models based on LionWolf training algorithm to build a model for predicting the performance of the higher education students by using their past education and general record.
Authors and Affiliations
Mrs. V. Ananthi, Mrs. K. Mythili
Keywords
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- EP ID EP431559
- DOI 10.9790/9622-0812033741.
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