Concept Extraction and Webb’s Depth of Knowledge: Comparing LLM Question Generation Pipelines for Educational Assessment
Dmitriy An, Andrew Paice, Petra Müller-Csernetzky, Aliaksei Andrushevich
- Anthology ID:
- 2026.swisstext-1.4
- Volume:
- Proceedings of the 11th Edition of the Swiss Text Analytics Conference
- Month:
- June
- Year:
- 2026
- Address:
- Zurich, Switzerland
- Editors:
- Rico Sennrich, Gerold Schneider, Tilia Ellendorff, Yingqiang Gao, Jannis Vamvas, Mark Cieliebak
- Venue:
- SwissText
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 52–62
- Language:
- URL:
- https://preview.aclanthology.org/ingest-swisstext/2026.swisstext-1.4/
- DOI:
- Cite (ACL):
- Dmitriy An, Andrew Paice, Petra Müller-Csernetzky, and Aliaksei Andrushevich. 2026. Concept Extraction and Webb’s Depth of Knowledge: Comparing LLM Question Generation Pipelines for Educational Assessment. In Proceedings of the 11th Edition of the Swiss Text Analytics Conference, pages 52–62, Zurich, Switzerland. Association for Computational Linguistics.
- Cite (Informal):
- Concept Extraction and Webb’s Depth of Knowledge: Comparing LLM Question Generation Pipelines for Educational Assessment (An et al., SwissText 2026)
- PDF:
- https://preview.aclanthology.org/ingest-swisstext/2026.swisstext-1.4.pdf