MRI
MRI India Journals Vol. 15 No. 1 (2026)

EduQuest-Educational Question generation and Test Automations Using AI

Authors

  • Jalindar Nivrutti Ekatpure Department Of Computer Engineering, S.B.Patil College of Engineering, Indapur, Pune, Maharashtra, India
  • Tanuja Prakash Asabe Department Of Computer Engineering, S.B.Patil College of Engineering, Indapur, Pune, Maharashtra, India
  • Riya Bharat Gaikwad Department Of Computer Engineering, S.B.Patil College of Engineering, Indapur, Pune, Maharashtra, India
  • Neha Sanjay Nagare Department Of Computer Engineering, S.B.Patil College of Engineering, Indapur, Pune, Maharashtra, India

Keywords:

Question Generation Test Automation Artificial Intelligence in Education Natural Language Processing Adaptive Assessment Educational Analytics

Abstract

This paper presents EduQuest, an AI-driven framework designed for automated question generation and test management. The system leverages advanced Natural Language Processing (NLP) models and Large Language Models (LLMs) to generate high-quality, context-aware questions from diverse learning materials such as textbooks, lecture notes, syllabi, videos, and digital resources. By incorporating multiple question formats, including multiple-choice, fill-in-the-blank, short-answer, and coding questions, EduQuest supports adaptive testing aligned with curriculum objectives. Furthermore, the platform automates test assembly, delivery, grading, and feedback, reducing the workload on educators while ensuring fairness, consistency, and scalability.

 

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Published

2026-06-05

How to Cite

Ekatpure, J. N., Asabe, T. P., Gaikwad, R. B., & Nagare, N. S. (2026). EduQuest-Educational Question generation and Test Automations Using AI. International Journal of Electrical, Electronics and Computer Systems, 15(1), 1–8. Retrieved from https://journals.mriindia.com/index.php/ijeecs/article/view/3392

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