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Zexin Xu

Biographic Data

ID3845166
NAMEZexin Xu
GIVEN NAMESZexin
FAMILY NAMEXu
SIGNATUREXU Z
AFFILIATIONSThe Ohio State University
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS1
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Exploring the Role of Artificial Intelligence in Facilitating Assessment of Writing Performance in Second Language Learning

    Open Access•Zilu Jiang, Zexin Xu et al.•ARTICLE•Languages•2023•Cited by: 1•References: 10

    This study examined the robustness and efficiency of four large language models (LLMs), GPT-4, GPT-3.5, iFLYTEK and Baidu Cloud, in assessing the writing accuracy of the Chinese language. Writing samples were collected from students in an online high school Chinese language learning program in the US. The official APIs of the LLMs were utilized to conduct analyses at both the T-unit and sentence levels. Performance metrics were employed to evalua…

  • Exploring the Role of Artificial Intelligence in Facilitating Assessment of Writing Performance in Second Language Learning

    Open Access•Zilu Jiang, Zexin Xu et al.•ARTICLE•Languages•2023•Cited by: 1•References: 10

    This study examined the robustness and efficiency of four large language models (LLMs), GPT-4, GPT-3.5, iFLYTEK and Baidu Cloud, in assessing the writing accuracy of the Chinese language. Writing samples were collected from students in an online high school Chinese language learning program in the US. The official APIs of the LLMs were utilized to conduct analyses at both the T-unit and sentence levels. Performance metrics were employed to evalua…

  • Exploring the Role of Artificial Intelligence in Facilitating Assessment of Writing Performance in Second Language Learning

    Open Access•Zilu Jiang, Zexin Xu et al.•ARTICLE•Languages•2023•Cited by: 1•References: 10

    This study examined the robustness and efficiency of four large language models (LLMs), GPT-4, GPT-3.5, iFLYTEK and Baidu Cloud, in assessing the writing accuracy of the Chinese language. Writing samples were collected from students in an online high school Chinese language learning program in the US. The official APIs of the LLMs were utilized to conduct analyses at both the T-unit and sentence levels. Performance metrics were employed to evalua…

Artificial Intelligence (1 works) · Categorization (1 works) · Computer Science (1 works) · Mathematics education (1 works) · Natural language processing (1 works) · Natural Language Processing Techniques (1 works) · Psychology (1 works) · Second Language Acquisition and Learning (1 works) · Sentence (1 works) · Text Readability and Simplification (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae