Enhancing transparency in educational question classification: an explainable AI approach using SHAP and LIME with CNN models
Crossref DOI link: https://doi.org/10.1007/s00521-026-11931-5
Published Online: 2026-03-09
Published Print: 2026-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Badawi, Dima R. https://orcid.org/0009-0004-7303-791X
Text and Data Mining valid from 2026-03-01
Version of Record valid from 2026-03-01
Article History
Received: 12 July 2025
Accepted: 15 January 2026
First Online: 9 March 2026