EduQuest-Educational Question generation and Test Automations Using AI

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Jalindar Nivrutti Ekatpure
Tanuja Prakash Asabe
Riya Bharat Gaikwad
Neha Sanjay Nagare

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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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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