Deep neural network-based analysis of student interest andsports preference

Abstract

Participating in sports has a major positive impact on kids' overall personality development, mental wellness, and physical fitness. Determining a student's interest in sports and the particular sport they are interested in might assist educational institutions in allocating resources and providing individualized instruction. Complex non-linear patterns in student behavioral data are frequently difficult for traditional machine learning techniques to identify. In order to predict (i) whether a student is interested in sports and (ii) the particular sport the student prefers, this study suggests a deep learning-based predictive model that uses an Artificial Neural Network (ANN). Academic, activity-related, and demographic characteristics are used to train the model. The suggested deep learning model outperforms conventional methods and has good predictive performance, according to experimental results. Accuracy, Precision, Recall, F1-Score, and Mean Squared Error (MSE) are used in the evaluation process.