Design and implementation of student management system of integrated programmable device programming system.

Area of Science:

• Educational Technology
• Computer Science

Background:

• Higher education reforms necessitate advanced student management systems.
• Current systems struggle to meet the evolving needs of contemporary students.
• Programmable device programming systems offer enhanced reliability and flexibility.

Purpose of the Study:

• To develop an effective and affordable student management system.
• To integrate programmable device programming for improved system functionality.
• To evaluate the performance of the proposed system using a BP neural network.

Main Methods:

• Development of a student management system incorporating programmable devices.
• Utilization of a BP neural network for performance evaluation.
• Comparative analysis of the proposed system against traditional systems.

Main Results:

• The new system achieved a throughput of 180 times per second with 99% CPU utilization.
• System stability exceeded 95%, a significant improvement over traditional systems (65%).
• The BP neural network confirmed the system's effectiveness in handling complex nonlinear relationships.

Conclusions:

• The proposed programmable device-integrated student management system offers superior stability and performance.
• This advancement addresses the limitations of traditional systems in higher education.
• The system provides a reliable, flexible, and user-friendly solution for modern university management.