Student Major Subject Prediction Model for Real-Application Using Neural Network

• Published in: International journal of advances in intelligent informatics Vol. 11; no. 2; pp. 292 - 303
• Main Authors: Islam, Aminul, Hoque, Jesmeen Mohd Zebaral, Hossen, Md. Jakir, Basiron, Halizah, Tawsif Khan, Chy. Mohammed
• Format: Journal Article
• Language: English
• Published: Yogyakarta Universitas Ahmad Dahlan 01.05.2025
• Subjects: Academic achievement; Accuracy; artificial intelligence; artificial neural network; Colleges & universities; Datasets; Education; Machine learning; major selection; Medical research; model selection; Neural networks; Prediction models; Programming languages; Python; Regression analysis; Students; students' major prediction bangladesh; Support vector machines; Unemployment; United States > US; Bangladesh
• ISSN: 2442-6571; 2442-6571
• DOI: 10.26555/ijain.v11i2.1490

The university admission test is an arena for students in Bangladesh. Millions of students have passed the higher secondary school every year, and only limited government medical, engineering, and public universities are available to pursue their further study. It is challenging for a student to prepare all these three categories simultaneously within a short period in such a competitive environment. Selecting the correct category according to the student's capability became important rather than following the trend. This study developed a preliminary system to predict a suitable admission test category by evaluating students' early academic performance through data collecting, data preprocessing, data modelling, model selection, and finally, integrating the trained model into the real system. Eventually, the Neural Network was selected with the maximum 97.13% prediction accuracy through a systematic process of comparing with three other machine learning models using the RapidMiner data modeling tool. Finally, the trained Neural Network model has been implemented by the Python programming language for opinionating the possible option to focus as a major for admission test candidates in Bangladesh.