000			a
999			_c21980 _d21980
003			OSt
005			20241221121447.0
008			241221b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_924899 _aVichare, Sumedh
245			_aQgen: a unique question generation and answer evaluation technique using natural language processing
250			_aVol.38(1), Jul
260			_aSangli _bK.E. Society's Rajarambapu Institute of Technology _c2024
300			_a122-135p.
520			_aEducational infrastructure is moving towards rapid digitization to conduct and evaluate examinations for remote students. Many universities now offer globally recognized distance learning courses to cater to a wider audience. However, this transition comes with its set of challenges, particularly for professors and staff members who find themselves burdened with a substantial amount of manual work during the examination season. The tasks include setting up unique question papers for every exam, including different types of questions with varying difficulty, and eventually evaluating the answers given by the students, which is not only timeconsuming but also a labour-intensive process. To address this issue, the paper proposes a solution that aims to reduce the workload of teaching staff by enhancing the efficiency of the examination process. It does so by leveraging several natural language processing techniques for generating two types of questions- objective and subjective, and grading the solutions of the examinee. Additionally, subjective questions are further classified based on Bloom's taxonomy levels, providing a diverse range of questions that align with varying cognitive abilities. The automation of this process not only eases the burden on educators but also ensures a more streamlined and effective examination process, thus contributing to the broader goal of digitizing education.
650		0	_94642 _aHumanities and Applied Sciences
700			_924900 _aGawade, Aruna
773	0		_dSangli Rajarambapu Institute Of Technology _tJournal of engineering education transformations (JEET) _x2349-2473
856			_uhttps://journaleet.in/articles/qgen-a-unique-question-generation-and-answer-evaluation-technique-using-natural-language-processing _yClick here
942			_2ddc _cAR