ISSN2320-2882
Impact Factor9.17
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Paper Title

An Intelligent Automated Assessment System For Dynamic Question Generation And Student Performance Analysis

Authors

Sudarshan Date , Om Makwana , Srishti Pandey , Prathmesh Sable , Dr. Atul Kachare

Keywords

Dynamic Question Generation, Natural Language Processing, Transformer Models, Semantic Similarity, Bloom's Taxonomy, Automated Assessment, Adaptive Learning

Abstract

Manual preparation of question papers is often repetitive, time consuming and difficult to scale especially when personalization and fairness is required. This paper proposes a dynamic question paper generation system using transformer based natural language processing along with semantic similarity analysis for the automation and improvement of the assessment process. The system is designed to generate multiple choice questions from existing content while taking into consideration topic coverage, difficulty level and cognitive categories based on Bloom's taxonomy. We apply semantic similarity methods to identify and remove duplicate or close questions, to ensure quality and diversity of the generated papers. The system also randomizes the question sets for each student, reducing the repetition and increasing the fairness of the assessments. It also has a performance analysis module which analyses the responses of the students and points out the weaker areas for improvement. The overall approach lessens the manual effort required from educators while supporting more adaptive and data driven assessment practices. The results indicate that the system can generate consistent and reliable question papers with relevance and diversity.

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJCRT — journal style
"An Intelligent Automated Assessment System For Dynamic Question Generation And Student Performance Analysis", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 5, page no.c808-c823, May 2026, Available :https://ijcrt.org/papers/IJCRT2605329.pdf
APA — 7th edition
Date, S., Makwana, O., Pandey, S., Sable, P., & Kachare, A. (2026). An Intelligent Automated Assessment System For Dynamic Question Generation And Student Performance Analysis. International Journal of Creative Research Thoughts, 14(5), c808-c823. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605329
MLA — 9th edition
Date, Sudarshan, et al. "An Intelligent Automated Assessment System For Dynamic Question Generation And Student Performance Analysis." International Journal of Creative Research Thoughts, vol. 14, no. 5, 2026, pp. c808-c823, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605329.
Chicago — 17th, bibliography
Date, Sudarshan, et al. "An Intelligent Automated Assessment System For Dynamic Question Generation And Student Performance Analysis." International Journal of Creative Research Thoughts 14, no. 5 (2026): c808-c823. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605329.
Harvard — author–date
Date, S. et al. (2026) 'An Intelligent Automated Assessment System For Dynamic Question Generation And Student Performance Analysis', International Journal of Creative Research Thoughts, 14(5), pp. c808-c823. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605329
IEEE — numbered reference
S. Date, O. Makwana, S. Pandey, P. Sable and A. Kachare, "An Intelligent Automated Assessment System For Dynamic Question Generation And Student Performance Analysis," IJCRT, vol. 14, no. 5, pp. c808-c823, May. 2026.
Vancouver — biomedical
Date S, Makwana O, Pandey S, Sable P, Kachare A. An Intelligent Automated Assessment System For Dynamic Question Generation And Student Performance Analysis. IJCRT. 2026 May;14(5):c808-c823.
AMA — 11th edition
Date S, Makwana O, Pandey S, Sable P, Kachare A. An Intelligent Automated Assessment System For Dynamic Question Generation And Student Performance Analysis. IJCRT. 2026;14(5):c808-c823. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605329
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2605329, author = {Sudarshan Date and Om Makwana and Srishti Pandey and Prathmesh Sable and Atul Kachare}, title = {An Intelligent Automated Assessment System For Dynamic Question Generation And Student Performance Analysis}, journal = {International Journal of Creative Research Thoughts}, volume = {14}, number = {5}, pages = {c808-c823}, year = {2026}, month = {May}, issn = {2320-2882}, url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605329} }
RIS — EndNote, RefWorks
TY - JOUR AU - Date, Sudarshan AU - Makwana, Om AU - Pandey, Srishti AU - Sable, Prathmesh AU - Kachare, Atul TI - An Intelligent Automated Assessment System For Dynamic Question Generation And Student Performance Analysis T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 14 IS - 5 PY - 2026 SN - 2320-2882 UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605329 SP - c808-c823 ER -

Issue

Volume 14 Issue 5, May-2026
Pages : c808-c823

Article Information

Pages
c808-c823
Published
May 2026
Registration ID
IJCRT_308292
Published Paper ID
IJCRT2605329
Research Area
Science and Technology
Author Type
Indian Author
Location
Navi Mumbai, Maharashtra, India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
143

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International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
9.17 Impact Factor
2013 ESTD Year
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Impact Factor 9.17, calculated from Google Scholar citation data — see how it is worked out.
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© 2026 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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