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Data mining is a growing field of research that focuses on creating methods to explore unique types of data that arise from context. These data provide different stakeholders with valuable insights and knowledge about students. In academic system, students often overlook their academic progress, which means if they fail the subject, they might forget that they have to retake the subject, which resulted in problems to graduate. Students also may not receive suitable advice for which subjects to take should they fail certain subjects in the previous semester. The objective of this work is to develop a system which can advise students about the status of their subjects and provide suggestions for students to improve their CGPA. This paper proposes a user-friendly support tool to overview student performance in final exams, provides reminders for failed subjects and suggests subjects to be taken in the next semester. The work acts as a personal advisor by analysing student performance in final exams and suggesting appropriate courses for the next semester. The proposed tool is developed based on expert predictions utilizing expert system methods. It has a simple interface and can be used on any platform with any operating system. The architecture highlights user interactions with the web application, Firebase Realtime Database, and GitHub.

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Student Academic Guidance System Using Rule Based Expert System

  • 会议论文

  • 发表日期：

    2025年

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  • M. A. M. Asyraf,
  • R. A. A. Raof,
  • Norfadila Mahrom,
  • S. Sudin,
  • Zahari Awang Ahmad,
  • S. Daud,
  • M. A. Romli

摘要

Data mining is a growing field of research that focuses on creating methods to explore unique types of data that arise from context. These data provide different stakeholders with valuable insights and knowledge about students. In academic system, students often overlook their academic progress, which means if they fail the subject, they might forget that they have to retake the subject, which resulted in problems to graduate. Students also may not receive suitable advice for which subjects to take should they fail certain subjects in the previous semester. The objective of this work is to develop a system which can advise students about the status of their subjects and provide suggestions for students to improve their CGPA. This paper proposes a user-friendly support tool to overview student performance in final exams, provides reminders for failed subjects and suggests subjects to be taken in the next semester. The work acts as a personal advisor by analysing student performance in final exams and suggesting appropriate courses for the next semester. The proposed tool is developed based on expert predictions utilizing expert system methods. It has a simple interface and can be used on any platform with any operating system. The architecture highlights user interactions with the web application, Firebase Realtime Database, and GitHub.