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April 29, 2026Iconic Research and Engineering Journals

AI-Driven Automated Question Paper Generator Using Past Exam Datasets

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Authors

PHPraveen H.SPKPraveen KhotOSOmkar Shinde

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Overview

Proposed system shows 91% accuracy in question assembly from past exams in educational technology, indicating efficiency gains.

Key Points

  • This research aims to create an automated system for generating balanced question papers using AI techniques.
  • Reviewed existing literature on automated question generation using AI.
  • Developed a question bank generator using BERT for extraction and de-duplication.
  • Created a paper assembler using GPT to compile questions based on difficulty and topics.
  • Achieved 91% question accuracy in generated papers.
  • Reduced generation time from 1 hour to less than 2 minutes.
  • Demonstrated a 9-30% improvement in efficiency compared to traditional methods.

Cite This Study

H.S et al. (2026) studied this question.

synapsesocial.com/papers/69f1547f879cb923c4944bbehttps://doi.org/10.64388/irev9i10-1716734
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