AUTOMATIC QUESTION PAPER GENERATION USING MACHINE LEARNING APPROACH

In any educational course curriculum, the courses are defined with learning objectives. Teachers conduct assessments to know if students have achieved certain learning objectives or not. Teachers generate variety of question papers as per the universities’ assessment requirements. It is very challenging for the teachers to make question paper with varied questions and which meet learning objective of the course. There are no standardized methods to ensure quality of question paper. Hence there arises a need to have a system which will automatically generate the question paper from teacher entered specificationwithin few seconds. Researchers recommend different sets of tags such as cognitive level, difficulty level, type of question, etc. The existing tool are rigid and support very basic or limited tags. The proposed system will automatically generate a question paper from semantically tagged question repository