Designing GA-Based Auto-Generator of Examination Questions

Examinations are important tools for assessing student performance. They are commonly used as a metric to determine the quality of the students. However, preparation of quality examination questions is cumbersome and challenging especially for lecturers teaching new subjects. The problem becomes significant among novice lecturers. Usually, lecturers prepare complete sets of questions paper manually and store it in a Question bank. The glaring issue is how to auto-generate question papers that would conform to Outcome Based Education (OBE) specification. This project will investigate multi-constraints genetic algorithm approaches in designing Auto-Generator Of Examination Questions (AGEQ). The requirement model for AGEQ will be discussed in detail. The analysis shows impressive results in the difference between the desired and actual AGEQ output.