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Cited by 19

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Socratic Mind: Scalable Oral Assessment Powered By AI

Hung, Jui-Tse, Cui, Christopher, Popescu, Diana M., Chatterjee, Saurabh, Starner, Thad·2024·Proceedings of the Eleventh ACM Conference on Learning @ Scale
DOI 10.1145/3657604.3664661
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Abstract

Interactive teaching methods often lead to higher levels of student engagement with course material. Yet, as class sizes increase, the demand on teaching staff becomes unsustainable. Our solution, Socratic Mind, employs Large Language Models to provide scalable, interactive oral assessments by functioning as a virtual instructor. This paper discusses the outcomes and user feedback from the preliminary implementation of our system in a large classroom environment with 600 students.

Overview

Integrity signals

Registry

Crossref · 10.1145/3657604.3664661

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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Citations

Cites

Show all 3 references

Research works printed but not linked: 31

  1. Tarek Ait Baha, Mohamed El Hajji, Youssef Es-Saady, and Hammou Fadili. 2023. The impact of educational chatbot on student learning experience. Education and Information Technologies (2023), 1--24.
  2. Beng Heng Ang, Sujatha Das Gollapalli, and See Kiong Ng. 2023. Socratic Question Generation: A Novel Dataset, Models, and Evaluation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. 147--165.
  3. 10.1080/15512160903253277 · DOI
  4. 10.9734/BJESBS/2015/17825 · doi:10.9734/bjesbs/2015/17825
  5. 10.1145/3573051.3593379 · DOI
  6. 10.1186/s41239-022-00362--6 · doi:10.1186/s41239-022-00362--6
  7. 10.3138/jvme.38.2.157 · DOI
  8. David E. Gardner and Andrea N. Giordano. 2023a. The Challenges and Value of Undergraduate Oral Exams in the Physical Chemistry Classroom: A Useful Tool in the Assessment Toolbox. Journal of Chemical Education (2023).
  9. 10.1021/acs.jchemed.3c00011 · DOI
  10. 10.1145/1151954.1067487 · DOI
  11. 10.4324/9781351186193-7 · DOI
  12. 10.1186/s12909-023-04134--2 · doi:10.1186/s12909-023-04134--2
  13. 10.1080/02602938.2010.515012 · DOI · Paper page
  14. Solomon Hykes and Inc. Docker. 2013. Docker: A Software Container Platform. https://www.docker.com Accessed: 2024-05--15.
  15. 10.3991/ijac.v16i1.35437 · DOI
  16. Nischal Ashok Kumar and Andrew Lan. 2024. Improving Socratic Question Generation using Data Augmentation and Preference Optimization. arXiv preprint arXiv:2403.00199 (2024). · arXiv
  17. 10.1007/978-3-030-23522-2_45 · DOI
  18. 10.2991/ictte-17.2017.56 · doi:10.2991/ictte-17.2017.56
  19. 10.21009/jisae.v9i1.32928 · doi:10.21009/jisae.v9i1.32928
  20. 10.1145/3573051.3593393 · DOI
  21. 10.18653/v1/2023.bea-1.62 · DOI
  22. Mansi Phute Alec Helbling Matthew Hull ShengYun Peng Sebastian Szyller Cory Cornelius and Duen Horng Chau. 2024. LLM Self Defense: By Self Examination LLMs Know They Are Being Tricked. arxiv: 2308.07308 [cs.CL] · arXiv
  23. 10.18260/1--2--43137 · doi:10.18260/1--2--43137
  24. Daniele Ramella. 2019. Oral exams: A deeply neglected tool for formative assessment in chemistry. In Active Learning in General Chemistry: Specific Interventions. ACS Publications, 79--89.
  25. 10.1145/3478431.3499382 · DOI
  26. 10.1109/FIE.2010.5673190 · doi:10.1109/fie.2010.5673190
  27. Pararth Shah, Dilek Hakkani-Tür, Gokhan Tür, Abhinav Rastogi, Ankur Bapna, Neha Nayak, and Larry Heck. 2018. Building a conversational agent overnight with dialogue self-play. arXiv preprint arXiv:1801.04871 (2018). · arXiv
  28. Ana"is Tack and Chris Piech. 2022. The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues. In Proceedings of the 15th International Conference on Educational Data Mining. 522.
  29. Joseph Tey and Shaurya Sinha. 2024. Sherpa. https://sherpalabs.co/manifesto. Accessed: 4/15/2024. · doi:10.5121/ijmvsc.2024.15102
  30. 10.22146/jpki.45131 · DOI
  31. 10.1145/3626252.3630773 · DOI

Cited by

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Metadata

Authors
Hung, J.-T., Cui, C., Popescu, D. M., Chatterjee, S., & Starner, T.
Affiliations
Georgia Institute of Technology, Atlanta, GA, USA
ORCID
Venue
Proceedings of the Eleventh ACM Conference on Learning @ Scale
Publisher
ACM
Published
2024-07-09
Pages
340-345
DOI
10.1145/3657604.3664661
Cited by
19
References
3
Licence
creativecommons.org/licenses/by/4.0/ (vor)

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CoChat. (2026). Citation check: Socratic Mind: Scalable Oral Assessment Powered By AI. https://app.cochat.ai/papers/10.1145/3657604.3664661
The paper
Hung, J.-T., Cui, C., Popescu, D. M., Chatterjee, S., & Starner, T. (2024). Socratic Mind: Scalable Oral Assessment Powered By AI. Proceedings of the Eleventh ACM Conference on Learning @ Scale. https://doi.org/10.1145/3657604.3664661

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.