Objective Type Question Generation using Natural Language Processing

Automatic Question Generation (AQG) is a research trend that enables teachers to create assessments with greater efficiency in right set of questions from the study material. Today's educational institutions require powerful tool correctly assess learner’s mastery concepts learned through materials. Objective type are an excellent method assessing learner's topic understanding learning process, based on Information and Communication Technology (ICT) Intelligent Tutoring Systems (ITS).Creating for assessment can take significant amount time teachers, obtaining external sources such as books or question banks may not be relevant content covered by students during their studies. This proposed system involves generate familiar objective like True False, ‘Wh’, Fill up double blank space, match following have generated using Natural Language Processing(NLP) techniquesfrom given Different rules created T/F ‘Wh’ questions. Dependence parser has involved Proposed tested Grade V Computer Science text book input. Experimental result shows quite promising