Template-Based Generator for Single-Choice Questions

Abstract Manual composition of tasks and exams is a challenging time-consuming task. Especially when are taken remotely without the personal monitoring by examiners, most can easily lose their integrity with use previously done exercises or student communication. This research introduces an approach that incorporates principles generative software development aspects feature-oriented product line engineering process into field question creation generation. The resulting generator be used to generate single-choice-question-families means written templates. generated questions within question-family differ based on set features parameters imported target learning management system ILIAS. Without much effort, examiners educators create variants deliver them students.