Members:
- Nithish Kumar (RA1911003010217)
- Aditi Mittal (RA1911003010226)
- Anweasha Saha (RA1911003010235)
- Vijay Ravichander (RA1911003010239)
- While exam-style questions are a fundamental educational tool serving a variety of purposes, manual construction of questions is a complex process that requires training, experience, and resources. This, in turn, hinders and slows down the use of educational activities (e.g. providing practice questions) and new advances that require a large pool of questions.
- To reduce the expenses associated with manual construction of questions and to satisfy the need for a continuous supply of new questions, automatic question generation (AQG) techniques were introduced.
- This project focuses on generating subjective questions and also an evaluation system is suggested for assessing the answers.
- For generating the questionnaires, key-phrases are extracted from the course curriculum (syllabus). Next, based on the key-phrases, different types of subjective questions are generated.
- Finally, the evaluation of student’s responses is achieved using a multi-criteria-decision-making approach. It uses a set of model answers taken from different textbooks and subject experts to evaluate the answers.
- Multiple measures are used to assess the answers by comparing them with this model set. The results of the profound system reveal that the automated appraisal process can reduce the manual effort of the human.
