Implementing Generative AI Assessment Guidelines in a Mexican University

Melchor Sánchez-Mendiola; Enrique Buzo-Casanova; Elibidú Ortega-Sánchez; Manuel García-Minjares; Adriana Cruz Juárez

Implementing Generative AI Assessment Guidelines in a Mexican University

Melchor Sánchez-Mendiola, Enrique Buzo-Casanova, Elibidú Ortega-Sánchez, Manuel García-Minjares, Adriana Cruz Juárez

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Abstract

Case study that examines a large public Mexican university development of GenAI assessment guidelines for upper-secondary, undergraduate, and graduate education. Using document analysis and process tracing, it identifies shared governance principles, level-specific adaptations, and a policy-to-practice pathway emphasizing validity, fairness, transparency, human oversight, responsible AI use, and implementation evaluation.

Anthology ID:: 2026.aimecon-wip.5
Volume:: Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress
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:: 37–44
Language:
URL:: https://aclanthology.org/2026.aimecon-wip.5/
DOI:
Bibkey:
Cite (ACL):: Melchor Sánchez-Mendiola, Enrique Buzo-Casanova, Elibidú Ortega-Sánchez, Manuel García-Minjares, and Adriana Cruz Juárez. 2026. Implementing Generative AI Assessment Guidelines in a Mexican University. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress, pages 37–44, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).
Cite (Informal):: Implementing Generative AI Assessment Guidelines in a Mexican University (Sánchez-Mendiola et al., AIME-Con 2026)
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PDF:: https://aclanthology.org/2026.aimecon-wip.5.pdf

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@inproceedings{sanchez-mendiola-etal-2026-implementing,
    title = "Implementing Generative {AI} Assessment Guidelines in a {M}exican {U}niversity",
    author = "S{\'a}nchez-Mendiola, Melchor  and
      Buzo-Casanova, Enrique  and
      Ortega-S{\'a}nchez, Elibid{\'u}  and
      Garc{\'i}a-Minjares, Manuel  and
      Cruz Ju{\'a}rez, Adriana",
    editor = "Wilson, Joshua  and
      Ormerod, Christopher  and
      Beiting-Parrish, Magdalen",
    booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference ({AIME}-Con): Works in Progress",
    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-wip.5/",
    pages = "37--44",
    ISBN = "979-8-9983004-1-7",
    abstract = "Case study that examines a large public Mexican university development of GenAI assessment guidelines for upper-secondary, undergraduate, and graduate education. Using document analysis and process tracing, it identifies shared governance principles, level-specific adaptations, and a policy-to-practice pathway emphasizing validity, fairness, transparency, human oversight, responsible AI use, and implementation evaluation."
}

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%0 Conference Proceedings
%T Implementing Generative AI Assessment Guidelines in a Mexican University
%A Sánchez-Mendiola, Melchor
%A Buzo-Casanova, Enrique
%A Ortega-Sánchez, Elibidú
%A García-Minjares, Manuel
%A Cruz Juárez, Adriana
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting-Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress
%D 2026
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-9983004-1-7
%F sanchez-mendiola-etal-2026-implementing
%X Case study that examines a large public Mexican university development of GenAI assessment guidelines for upper-secondary, undergraduate, and graduate education. Using document analysis and process tracing, it identifies shared governance principles, level-specific adaptations, and a policy-to-practice pathway emphasizing validity, fairness, transparency, human oversight, responsible AI use, and implementation evaluation.
%U https://aclanthology.org/2026.aimecon-wip.5/
%P 37-44

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Markdown (Informal)

[Implementing Generative AI Assessment Guidelines in a Mexican University](https://aclanthology.org/2026.aimecon-wip.5/) (Sánchez-Mendiola et al., AIME-Con 2026)

Implementing Generative AI Assessment Guidelines in a Mexican University (Sánchez-Mendiola et al., AIME-Con 2026)

ACL

Melchor Sánchez-Mendiola, Enrique Buzo-Casanova, Elibidú Ortega-Sánchez, Manuel García-Minjares, and Adriana Cruz Juárez. 2026. Implementing Generative AI Assessment Guidelines in a Mexican University. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress, pages 37–44, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).