Development of an Adaptive Student Academic Monitoring System

Abstract

This research paper introduces an Adaptive Student Academic Monitoring System with the aim of improving the current real-time assessment of students based on personalized quizzes. It uses a dynamic quiz model that adjusts the question difficulty according to the student's performance, thereby offering the experience of learning in an optimized manner. Using data structures like an array and a stack gives prompt feedback that is helpful in furthering self-assessment or even improvement. The adaptive system in its design ensures that students continually stay challenged at appropriate levels to ensure continuous engagement. Some evaluations indicate that the usage of this system considerably enhanced students' involvement and increased the quality of learning outcomes achieved. This new approach to academic monitoring has a great potential for improvement in educational practice in a more responsive and individualized learning environment. The findings are in relation to a system that would transform how educational institutions perceive student monitoring and assessment.