Predicting Stress Levels of Secondary School Students’ using Machine Learning Approaches

Abstract

Stress is an emotional feeling that arises from any event or thought that has adverse effects on children since they feel frustrated, angry, tensed or nervous. Stress leads to severe problems such as less energy levels, unenthusiastic, poor attention, anxiety, depression and many other mental disorders. The level of stress observed in students studying in secondary school is increasing day by day which leads to poor academic performance. In recent days, lot of schools came in to existence and they are following different strategies in making their students to score high percentages in the board examinations. It is understandable that all children will not have the same capabilities and learning behaviour. Normally some students are able to overcome the stressful situations but it is not possible for few since they differ in terms of demographic factors, mental ability factors, study patterns, determination and psychological factors. So, it is necessary to predict the stress levels of the secondary school students and proper intervention mechanisms should be adopted at proper time for high risk students. This study aims to make the future generation a stress-free generation.