Comprehensive Pipeline for Multilingual GenAI Scoring

Ji Yoon Jung; Ummugul Bezirhan; Matthias von Davier

Comprehensive Pipeline for Multilingual GenAI Scoring

Ji Yoon Jung, Ummugul Bezirhan, Matthias von Davier

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Abstract

This study presents a comprehensive operational pipeline for multilingual GenAI scoring that integrates secure data preparation, prompt generation, automated scoring, post-processing, and human-in-the-loop review. Results demonstrate the pipeline’s strong adaptability across item formats, assessment languages, and assessment cycles, offering a viable solution to the persistent challenges of multilingual scoring.

Anthology ID:: 2026.aimecon-main.29
Volume:: Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
Month:: October
Year:: 2026
Address:: Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
Editors:: Joshua Wilson, Christopher Ormerod, Magdalen Beiting-Parrish
Venue:: AIME-Con
SIG:
Publisher:: National Council on Measurement in Education (NCME)
Note:
Pages:: 260–266
Language:
URL:: https://aclanthology.org/2026.aimecon-main.29/
DOI:
Bibkey:
Cite (ACL):: Ji Yoon Jung, Ummugul Bezirhan, and Matthias von Davier. 2026. Comprehensive Pipeline for Multilingual GenAI Scoring. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 260–266, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).
Cite (Informal):: Comprehensive Pipeline for Multilingual GenAI Scoring (Jung et al., AIME-Con 2026)
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PDF:: https://aclanthology.org/2026.aimecon-main.29.pdf

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Endnote
Preformatted

@inproceedings{jung-etal-2026-comprehensive,
    title = "Comprehensive Pipeline for Multilingual {G}en{AI} Scoring",
    author = "Jung, Ji Yoon  and
      Bezirhan, Ummugul  and
      von Davier, Matthias",
    editor = "Wilson, Joshua  and
      Ormerod, Christopher  and
      Beiting-Parrish, Magdalen",
    booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference ({AIME}-Con): Full Papers",
    month = oct,
    year = "2026",
    address = "Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States",
    publisher = "National Council on Measurement in Education (NCME)",
    url = "https://aclanthology.org/2026.aimecon-main.29/",
    pages = "260--266",
    ISBN = "979-8-9983004-0-0",
    abstract = "This study presents a comprehensive operational pipeline for multilingual GenAI scoring that integrates secure data preparation, prompt generation, automated scoring, post-processing, and human-in-the-loop review. Results demonstrate the pipeline{'}s strong adaptability across item formats, assessment languages, and assessment cycles, offering a viable solution to the persistent challenges of multilingual scoring."
}

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%0 Conference Proceedings
%T Comprehensive Pipeline for Multilingual GenAI Scoring
%A Jung, Ji Yoon
%A Bezirhan, Ummugul
%A von Davier, Matthias
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting-Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
%D 2026
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-9983004-0-0
%F jung-etal-2026-comprehensive
%X This study presents a comprehensive operational pipeline for multilingual GenAI scoring that integrates secure data preparation, prompt generation, automated scoring, post-processing, and human-in-the-loop review. Results demonstrate the pipeline’s strong adaptability across item formats, assessment languages, and assessment cycles, offering a viable solution to the persistent challenges of multilingual scoring.
%U https://aclanthology.org/2026.aimecon-main.29/
%P 260-266

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Markdown (Informal)

[Comprehensive Pipeline for Multilingual GenAI Scoring](https://aclanthology.org/2026.aimecon-main.29/) (Jung et al., AIME-Con 2026)

Comprehensive Pipeline for Multilingual GenAI Scoring (Jung et al., AIME-Con 2026)

ACL

Ji Yoon Jung, Ummugul Bezirhan, and Matthias von Davier. 2026. Comprehensive Pipeline for Multilingual GenAI Scoring. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 260–266, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).