Generation Using Bloom's Taxonomy
Year: 2025
Type: article
Abstract: Designing question papers manually is often time-consuming and inconsistent, especially when trying to align with academic standards like Bloom’s Taxonomy and Course Outcomes (COs). This project introduces a smart and user-friendly system that automates the question paper generation process, allowing educators to upload syllabus PDFs, set custom configurations, and instantly generate descriptive-only papers along with answer keys. The system ensures cognitive balance, supports customizable templates, and leverages natural language processing for relevant question selection. Designed for efficiency and outcome-based evaluation, it streamlines the assessment process in academic settings.
Author: Prof. P. G. Kanade
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W6893532626
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