• Musale Ashish Rambhau
• Shafali Gupta
• Meghana Phadatare
• Ishwari Jadhav
• Bhujbal Omkar Vaibhav

Research studies on multiple question generation (MCQ) are helpful for various educational purposes such as knowledge assessment or intelligent tutoring systems. There are several works on question generation use different natural language processing or related techniques to generate various forms of questions, like multiple choice question or tutorial dialogues in a Socratic manner, to serve multiple purposes Automatic Multiple alternative Question (MCQ) assembly from a text could also be a typical examination space. MCQs are extensive acknowledged for large-scale assessment in varied domains and applications. However, manual generation of MCQs is expensive and time-consuming. Therefore, researchers were involved towards routine MCQ generation since the delayed 90’s. Since then, many systems are developed for MCQ generation. we've a bent to perform a scientific review of those systems. This paper presents our findings on the review. we've a bent to define a generic advancement for Associate in Nursing automatic MCQ generation system. The advancement consists of six phases. for every of these phases, we discover and discuss the list of techniques adopted within the literature. we've a bent to additionally study the analysis techniques for assessing the quality of the system generated MCQs. Finally, we've a bent to determine the areas wherever this analysis focus need to be directed toward enriching the literature.

"An Automatic Generator of Multiple Choice Question with Radom Answer Key.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.830-835, June-2020, Available :http://www.jetir.org/papers/JETIR2006113.pdf

"An Automatic Generator of Multiple Choice Question with Radom Answer Key.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp830-835, June-2020, Available at : http://www.jetir.org/papers/JETIR2006113.pdf