Abstract
Aim/Purpose: This paper introduces a web-based question bank management system (QBMS) designed for the "Ground Theory and Aviation Systems Engineering" course at Beihang University. The system, developed using Vue.js and Spring Boot, streamlines question management, practice, and online assessments. Methodology: A software development approach was utilised to design and develop a system to enhance student's knowledge and testing regarding aviation systems engineering. It incorporates a collaborative filtering algorithm to offer personalised practice recommendations, enhancing both teaching efficiency and student learning outcomes. Contribution: This research provides details to a robust educational tool, setting a foundation for future advancements in course-specific educational technology. The smart question management system can scale to all subject areas contributing the body of knowledge in smart education. Findings: The question bank management system addresses scalability issues of manual question management and introduces Spearman Correlation-based question filtering for a more adaptive learning experience. This was shown to be more effective and efficient for the learning and assessment environments.
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