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Generation Using Bloom’s Taxonomy

JOURNAL:MAZEDAN COMPUTER ENGINEERING TRANSACTIONS

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# Authors First Online DOI Downloads Citations
1. Prof. P. G. Kanade*, Jayesh Gudaghe, Sanjasvi Sonawane, Mahek Shaikh, Sarthak Ghumare 05 Aug 2025 https://doi.org/10.5281/zenodo.16743497 1 0
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.

Keywords

Automatic Question Generation, Bloom’s Taxonomy, Course Outcomes, Stream lit, Descriptive Questions, Educational Technology.

References

  1. [1]    Anderson, L. W., & Krathwohl, D. R. (2001). A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom's Taxonomy of Educational Objectives. Allyn & Bacon.
    [2]    Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1956). Taxonomy of Educational Objectives: The Classification of Educational Goals. Handbook I: Cognitive Domain. Longmans, Green and Co.
    [3]    Bhardwaj, A., & Pal, R. (2012). An Automated System for Generation of Randomized Question Papers. International Journal of Computer Applications, 53(3), 23-27.
    [4]    Mishra, S., & Chandra, A. (2017). Classification of Exam Questions Using Bloom’s Taxonomy and Word Embeddings. International Journal of Advanced Research in Computer Science, 8(8), 225-230.
    [5]    Kumar, A., Gupta, S., & Singh, P. (2020). AI-Driven Question Paper Generator Using Bloom’s Taxonomy for Balanced Assessment. International Journal of Educational Technology in Higher Education,17(1), 1-14.
    [6]    Sharma, M., Sharma, S., & Kapoor, K. (2018). Challenges in Generating Automated Question Papers for Educational Examinations. In 2018 International Conference on Computing, Power, and Communication Technologies (GUCON), 467-472.
    [7]    Singh, N., Agarwal, S., & Singh, A. (2015). A System for Automated Generation of Question Papers Using Bloom’s Taxonomy and Topic Distribution. International Journal of Education and Development using ICT, 11(1), 88-98.