Automated Educational Question Generation at Different Bloom’s Skill Levels Using Large Language Models: Strategies and Evaluation

Author:

Scaria NicyORCID,Dharani Chenna SumaORCID,Subramani DeepakORCID

Publisher

Springer Nature Switzerland

Reference25 articles.

1. Amidei, J., Piwek, P., Willis, A.: Rethinking the agreement in human evaluation tasks. In: Proceedings of the 27th International COLING, pp. 3318–3329 (2018)

2. Anderson, L.W., Krathwohl, D.R.: A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom’s Taxonomy of Educational Objectives, complete Addison Wesley Longman Inc., Boston (2001)

3. Bulathwela, S., Muse, H., Yilmaz, E.: Scalable educational question generation with pre-trained language models. In: Wang, N., Rebolledo-Mendez, G., Matsuda, N., Santos, O.C., Dimitrova, V. (eds.) AIED 2023. LNCS, vol. 13916, pp. 327–339. Springer, Heidelberg (2023). https://doi.org/10.1007/978-3-031-36272-9_27

4. Chen, D., Dolan, W.B.: Collecting highly parallel data for paraphrase evaluation. In: Proceedings of ACL 2021, pp. 190–200 (2011)

5. Cohen, J.: Weighted kappa: nominal scale agreement provision for scaled disagreement or partial credit. Psychol. Bull. 70(4), 213 (1968)

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