International Journal of Frontiers in Engineering Technology, 2024, 6(3); doi: 10.25236/IJFET.2024.060303.
Tang Jiawei
University of Science and Technology Liaoning, Anshan, China
As education becomes increasingly informatized, leveraging technology to enhance the quality of education and bolster students' competitiveness has gained significant importance. In this study, we present the design and implementation of a student performance classification and prediction system utilizing the random forest algorithm. The primary goal of this system is to offer students and educational institutions a comprehensive understanding of students' learning statuses through data analysis and personalized recommendations, while also providing necessary support measures. We delve into the system's design objectives, practical applications, user instructions, employed technologies, core algorithms and principles, implementation and optimization procedures, as well as its operational and running requirements. Lastly, we explore the system's potential for widespread adoption and its value in educational settings.
Education informatization; Random Forest; Achievement prediction; Personalized learning; Educational decision making
Tang Jiawei. Design and Implementation of a Random Forest Algorithm Based on Classification and Prediction System for Student Achievement. International Journal of Frontiers in Engineering Technology (2024), Vol. 6, Issue 3: 18-26. https://doi.org/10.25236/IJFET.2024.060303.
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