INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Jayasri B S
, Adarsh A , Abhishek A P , Anup Siddu R S , Ramya S
Unique Id:
IJSDR2308049
Published In:
Volume 8 Issue 8, August-2023
Abstract:
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
Keywords:
teacher, exam, real time, question paper generation, difficulty level, Bloom’s taxonomy, Naive Bayes algorithm, random logic
Cite Article:
"Real Time Question Paper Generator Using ML", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 8, page no.357 - 367, August-2023, Available :http://www.ijsdr.org/papers/IJSDR2308049.pdf
Downloads:
000338719
Publication Details:
Published Paper ID: IJSDR2308049
Registration ID:208077
Published In: Volume 8 Issue 8, August-2023
DOI (Digital Object Identifier):
Page No: 357 - 367
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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