Real Time Question Paper Generator Using ML

Jayasri B S , Adarsh A , Abhishek A P , Anup Siddu R S , Ramya S

teacher, exam, real time, question paper generation, difficulty level, Bloom’s taxonomy, Naive Bayes algorithm, random logic

Contemporary technologies enable teachers to store exam questions in computer databases. Exams are used to measure student learning, which is an essential component of the education system. The development of exam question papers has long drawn attention due to the need to maintain secrecy and adhere to different blooms taxonomy levels. It is a challenge, to address the issue of how these technologies might assist teachers in automatically creating a variety of sets of questions in real time, avoiding repetition, duplication from prior exams while still following the quality of complexity as per blooms level. Hence the idea is to automate the process of generating the exam question papers effectively and efficiently in real time. The system has the ability to instantly generate well-structured and engaging questions with the help of the Naive Bayes algorithm, a randomization technique, and Bloom's taxonomy for varied complexity of marks and levels respectively. Thus, generation of Question paper in real time makes the task of a course instructor considerably simpler and precise when compared to the conventional methods of generating Question paper, which is quite a tedious process and difficult to always maintain secrecy

Published Paper   E-Certificate

"Real Time Question Paper Generator Using ML", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 8, page no.357 - 367, August-2023, Available :https://ijsdr.org/papers/IJSDR2308049.pdf

Volume 8 Issue 8, August-2023

Pages : 357 - 367

Paper Reg. ID: IJSDR_208077

Published Paper Id: IJSDR2308049

Downloads: 000347299

Research Area: Computer Science & Technology 

Country: Mysuru, Karnataka, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2308049

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2308049

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition