A review of automatic item generation techniques leveraging large language models
Abstract
Keywords
References
- Ackerman, R., & Balyan, R. (2023). Automatic multilingual question generation for health data using LLMs. In International Conference on AI-generated Content (pp. 1-11). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-99-7587-7_1
- Agrawal, A., & Shukla, P. (2023). Context aware automatic subjective and objective question generation using Fast Text to text transfer learning. International Journal of Advanced Computer Science and Applications, 14(4), 456-463.
- Aigo, K., Tsunakawa, T., Nishida, M., & Nishimura, M. (2021). Question generation using knowledge graphs with the T5 language model and masked self-attention. In 2021 IEEE 10th Global Conference on Consumer Electronics (pp. 85 87). IEEE. https://doi.org/10.1109/GCCE53005.2021.9621874
- Akyön, F.Ç., Cavusoglu, A.D.E., Cengiz, C., Altinuç, S.O., & Temizel, A. (2022). Automated question generation and question answering from Turkish texts. Turkish Journal of Electrical Engineering and Computer Sciences, 30(5), 1931 1940. https://doi.org/10.55730/1300-0632.3914
- Alsubait, T., Parsia, B., & Sattler, U. (2016). Ontology-based multiple choice question generation. KI-Künstliche Intelligenz, 30, 183-188. https://doi.org/10.1007/s13218-015-0405-9
- Alves, C.B., Gierl, M.J., & Lai, H. (2010, April). Using automated item generation to promote test design and development [Paper presentation]. American Educational Research Association Annual Meeting, Denver, CO, United States.
- Arksey, H., & O'malley, L. (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19 32. https://doi.org/10.1080/1364557032000119616
- Attali, Y., Runge, A., LaFlair, G.T., Yancey, K., Goodwin, S., Park, Y., & Von Davier, A.A. (2022). The interactive reading task: Transformer-based automatic item generation. Frontiers in Artificial Intelligence, 5, 903077. https://doi.org/10.3389/frai.2022.903077
Details
Primary Language
English
Subjects
Measurement Theories and Applications in Education and Psychology , Measurement and Evaluation in Education (Other)
Journal Section
Research Article
Authors
Bin Tan
*
0000-0001-6717-5620
Canada
Nour Armoush
0009-0008-2310-5098
Canada
Elisabetta Mazzullo
This is me
0009-0008-4847-9934
Canada
Okan Bulut
0000-0001-5853-1267
Canada
Mark Gierl
0000-0002-2653-1761
Canada
Early Pub Date
May 1, 2025
Publication Date
June 1, 2025
Submission Date
December 16, 2024
Acceptance Date
April 28, 2025
Published in Issue
Year 2025 Volume: 12 Number: 2
Cited By
Harnessing Generative AI for Assessment Item Development: Comparing AI‐Generated and Human‐Authored Items
International Journal of Selection and Assessment
https://doi.org/10.1111/ijsa.70021Editorial: Special Issue on Artificial Intelligence and Machine Learning in Educational Measurement (Part 3)
Chinese/English Journal of Educational Measurement and Evaluation
https://doi.org/10.59863/DJYM9770Expanding the Team: Integrating Generative Artificial Intelligence into the Assessment Development Process
Applied Sciences
https://doi.org/10.3390/app15189976From human artefact to machine output: automating the “art” of psychological measurement
Journal of Psychology and AI
https://doi.org/10.1080/29974100.2025.2561692Mini-review: considering impacts of artificial intelligence on the development of measurement scales
Frontiers in Organizational Psychology
https://doi.org/10.3389/forgp.2026.1787155Pushing the boundaries of generative AI: multiple-choice question generation and assessment performance within medical education
Journal of Health Sciences and Medicine
https://doi.org/10.32322/jhsm.1842373Research challenges and future perspectives for e-assessment technologies in higher education
i-com
https://doi.org/10.1515/icom-2026-0008Artificial Intelligence in Language Assessment Research: A Scoping Review
Research Synthesis in Applied Linguistics
https://doi.org/10.1080/29984475.2026.2633389