Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions-Reference-Cited by-同舟云学术

Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions

Published:2024-07-09 Issue: Volume:17 Page:122-133
ISSN:
Container-title:Proceedings of the Eleventh ACM Conference on Learning @ Scale
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Author:

Moore Steven¹^ORCID,Schmucker Robin²^ORCID,Mitchell Tom³^ORCID,Stamper John¹^ORCID

Affiliation:

1. Human-Computer Interaction, Carnegie Mellon University, Pittsburgh, PA, USA

2. Machine Learning Department, Carnege Mellon University, Pittsburgh, PA, USA

3. Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA

Funder

AFOSR

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3657604.3662030

Reference47 articles.

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3. The difficulty factors approach to the design of lessons in intelligent tutor curricula;Jd Baker Ryan;International Journal of Artificial Intelligence in Education,2007

4. Estimating the minimum number of opportunities needed for all students to achieve predicted mastery

5. Tiffany Barnes. 2005. The q-matrix method: Mining student response data for knowledge. In American association for artificial intelligence 2005 educational data mining workshop, 1--8. Retrieved February 15, 2024 from https://www.researchgate.net/profile/Tiffany-Barnes-3/publication/228850824_The_q-matrix_method_Mining_student_response_data_for_knowledge/links/00b495334a6472aad9000000/The-q-matrix-method-Mining-student-response-data-for-knowledge.pdf