• Aditya Kumar Gupta
• Arpita Verma
• Devansh Chaudhary
• Girish BC
• Rajneesh Pandey

A popular topic of study is the automatic production of multiple-choice questions (MCQ) from text. MCQs are commonly used for large-scale evaluation in a variety of areas and applications. Manually creating MCQs, on the other hand, is costly and time-intensive. Many systems for generating MCQs have since been created. These systems are subjected to a thorough examination. The review findings are presented in this report. We present a generic approach for an MCQ creation system that is automated. Six stages make up the workflow. We locate and discuss the list of approaches used in the literature for each of these phases. We also investigate evaluation strategies for determining the quality of MCQs created by the system. Finally, we identify areas in which current research efforts should be devoted to enriching the literature.

machine-learning, question-generation, natural-language-processing

"An Encrypted Automatic Multiple-Choice Question Generator for Self-Assessment Using Natural Language Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.j337-j343, May-2022, Available :http://www.jetir.org/papers/JETIR2205A45.pdf

"An Encrypted Automatic Multiple-Choice Question Generator for Self-Assessment Using Natural Language Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppj337-j343, May-2022, Available at : http://www.jetir.org/papers/JETIR2205A45.pdf