Design of adaptive question bank development and management system

In the changing present competitive scenario, Intelligent development of question model is indispensible for intellectual growth of students and also to fulfill learning objectives of the course (Blooms Taxonomy). Although there are several computer based question paper generators but they typically use random selection from question bank. Also these databases (question bank) are not rich enough to avoid recalling (repetition of questions). Moreover, History is also not maintained for the previous question module generated. Such systems lack intelligency as they do not use concepts maps and are unable to provide quality questions with variations. In this paper, we are designing an adaptive question bank management system that is intelligently picking questions from rich database (question bank) and representing the question model according to the inputs or parameters provided by the question paper designer (QPD). This question bank uses concept map developed using graphical method that uses hierarchical knowledge of particular domain. The concept map integrated with question bank (question database) will ensure the question modeling process based on degree of certain criteria like Bloom's Taxonomy, difficulty level, marking scheme etc. The evaluation of generated question model will provide a feedback to check overall student's level of understanding and this will be an advantage for an organization for enhancing the growth of their students. In sum, our proposed system would be great aid for the organization in effective question modeling and its assessment.