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Achieving Human Level Partial Credit Grading of Written Responses to Physics Conceptual Question using GPT-3.5 with Only Prompt Engineering

Autor: Chen, Zhongzhou, Wan, Tong

Large language modules (LLMs) have great potential for auto-grading student written responses to physics problems due to their capacity to process and generate natural language. In this explorative study, we use a prompt engineering technique, which

Externí odkaz: http://arxiv.org/abs/2407.15251

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Using skateboarding to develop a culturally relevant tutorial on static equilibrium

Autor: Viray, Gian, Cheney, Isaac, Wan, Tong

Culturally relevant pedagogy (CRP), initially developed by Ladson-Billings, is an instructional framework for supporting diverse learners by drawing on their cultural backgrounds and experiences. In line with the CRP framework, we developed a tutoria

Externí odkaz: http://arxiv.org/abs/2406.17625

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Characterizing Discourse Group Roles in Inquiry-based University Science Labs

Autor: Wan, Tong, Pimbert, Juliette, Cao, Ying, Ouimet, Pierre-Philippe A.

Group work is commonly adopted in university science laboratories. In this study, we characterize student discourse group roles in inquiry-based science labs. The instructional context for the study was a summer program hosted at a private research u

Externí odkaz: http://arxiv.org/abs/2405.15746

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Exploring Generative AI assisted feedback writing for students' written responses to a physics conceptual question with prompt engineering and few-shot learning

Autor: Wan, Tong, Chen, Zhongzhou

Publikováno v: Phys. Rev. Phys. Educ. Res. 20, 010152 (2024)

Instructor's feedback plays a critical role in students' development of conceptual understanding and reasoning skills. However, grading student written responses and providing personalized feedback can take a substantial amount of time. In this study

Externí odkaz: http://arxiv.org/abs/2311.06180

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Neural Wave Functions for Superfluids

Autor: Lou, Wan Tong, Sutterud, Halvard, Cassella, Gino, Foulkes, W. M. C., Knolle, Johannes, Pfau, David, Spencer, James S.

Publikováno v: Phys. Rev. X 14, 021030 (2024)

Understanding superfluidity remains a major goal of condensed matter physics. Here we tackle this challenge utilizing the recently developed Fermionic neural network (FermiNet) wave function Ansatz [D. Pfau et al., Phys. Rev. Res. 2, 033429 (2020).]

Externí odkaz: http://arxiv.org/abs/2305.06989

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Akademický článek

Pharmacokinetics, safety, and efficacy of Fuqi Guben Gao in the treatment of kidney-yang deficiency syndrome: a randomized, double-blind phase I trial

Autor: Wei-Yi Cao, Jun-Yu Liu, Min Sun, Jing-Kun Wang, Fang Lu, Qiao-Ning Yang, Wan-Tong Zhang, Ming-Jie Zi, Bai-E Zhang, Hong-Bin Liu, Shu-Ge Wang, Yi Wu, Rong-Zu Wu, Wen-Di Wu, Rui Li, Zhao-Yun Zhu, Rui Gao

Publikováno v: Frontiers in Pharmacology, Vol 15 (2024)

Introduction: Fuqi Guben Gao (FQGBG) is a botanical drug formulation composed of FuZi (FZ; Aconitum carmichaelii Debeaux [Ranunculaceae; Aconiti radix cocta]), Wolfberry (Lycium barbarum L. [Solanaceae; Lycii fructus]), and Cinnamon (Neolitsea cassia

Externí odkaz: https://doaj.org/article/1bfe3781f0d34924b11cf560f05d8495