An artificial neural network approach in predicting career strand of incoming senior high school students

Abstract

The K to 12 program has been implemented in the Philippines by the Department of Education which implicated an additional two years in the students' basic education. These ancillary years allow senior high school students to take courses under the core curriculum and the track of choice. Each student must select one track to pursue that can equip him/her with skills to prepare for the future. Prediction of choice of career track in senior high school is advantageous for educational institutions since it gives insights that can help them develop vital programs beneficial for students' learning in school. In this study, we applied artificial neural network (ANN) to predict the career strand based on the students' grades in five major subjects. Different ANN models have been considered and compared. In training and testing the models, a sample of 293 student data information was used. The highest accuracy recorded among all the models was 74.1 %.