Generative Students: Using LLM-Simulated Student Profiles to Support Question Item Evaluation-Reference-Cited by-同舟云学术

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Generative Students: Using LLM-Simulated Student Profiles to Support Question Item Evaluation

Published:2024-07-09 Issue: Volume:8 Page:16-27
ISSN:
Container-title:Proceedings of the Eleventh ACM Conference on Learning @ Scale
language:
Short-container-title:

Author:

Lu Xinyi¹^ORCID,Wang Xu¹^ORCID

Affiliation:

1. Computer Science and Engineering, University of Michigan, Ann Arbor, MI, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3657604.3662031

Reference57 articles.

1. [n. d.]. Incorporating ChatGPT Into Your Teaching. https://miamioh.edu/cte/ faculty-staff/chatgpt/. Accessed: 2024-02--16.

2. [n. d.]. OpenAI Chat. https://chat.openai.com/. Accessed: 2024-02--16.

3. [n. d.]. Using ChatGPT to Write Quiz Questions. https://online.ucla.edu/usingchatgpt-to-write-quiz-questions/. Accessed: 2024-02--16.

4. Angus Addlesee, Weronika Siei'ska, Nancie Gunson, Daniel Hernández Garcia, Christian Dondrup, and Oliver Lemon. 2023. Multi-party goal tracking with llms: Comparing pre-training, fine-tuning, and prompt engineering. arXiv preprint arXiv:2308.15231 (2023).

5. Ontology-Based Multiple Choice Question Generation

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