Publication2025
VTU Question Classification System based on BERT and Bloom's Taxonomy Ring'
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- Esic 2025 5th International Conference on Emerging Systems and Intelligent Computing Proceedings
- Pages
- 774-777
- Published
- 1 January 2025
- DOI
- 10.1109/esic64052.2025.10962783
- Scopus ID
- 105004557686
- Authors
- 7
- Open access
- No
- Citations
- 1
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
4.4 Substantially increase the number of youth and adults with relevant skills for employment, decent jobs and entrepreneurship
VTU Question Classification System using BERT and Bloom's Taxonomy automates question categorization by cognitive difficulty level improving educational assessment efficiency.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.1 Education and lifelong learning
NLP-based educational assessment technology advances learning and assessment methodology in higher education.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “VTU Question Classification System based on BERT and Bloom's Taxonomy Ring'”. Kortex.
