A Multi-Agent Architecture for Valid, Reliable, and Scalable Skills Assessment

Megan N Imundo; Kjorte Harra; Lesley Reilly; Cory Hammon; Lauren Zito; Catrina Nieser; Betheny Gross

A Multi-Agent Architecture for Valid, Reliable, and Scalable Skills Assessment

Megan N Imundo, Kjorte Harra, Lesley Reilly, Cory Hammon, Lauren Zito, Catrina Nieser, Betheny Gross

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Abstract

Credentials often fail to capture skills developed outside formal education, limiting access to opportunity. We introduce Current Skills Validation, a multi-agent architecture that decomposes skills assessment into a set of specialized agents, supporting fine-grained adaptivity grounded in learning science. We describe its architecture, foundations, and measurement agenda.

Anthology ID:: 2026.aimecon-main.14
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:: 139–145
Language:
URL:: https://aclanthology.org/2026.aimecon-main.14/
DOI:
Bibkey:
Cite (ACL):: Megan N Imundo, Kjorte Harra, Lesley Reilly, Cory Hammon, Lauren Zito, Catrina Nieser, and Betheny Gross. 2026. A Multi-Agent Architecture for Valid, Reliable, and Scalable Skills Assessment. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 139–145, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).
Cite (Informal):: A Multi-Agent Architecture for Valid, Reliable, and Scalable Skills Assessment (Imundo et al., AIME-Con 2026)
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PDF:: https://aclanthology.org/2026.aimecon-main.14.pdf

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    title = "A Multi-Agent Architecture for Valid, Reliable, and Scalable Skills Assessment",
    author = "Imundo, Megan N  and
      Harra, Kjorte  and
      Reilly, Lesley  and
      Hammon, Cory  and
      Zito, Lauren  and
      Nieser, Catrina  and
      Gross, Betheny",
    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",
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    pages = "139--145",
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    abstract = "Credentials often fail to capture skills developed outside formal education, limiting access to opportunity. We introduce Current Skills Validation, a multi-agent architecture that decomposes skills assessment into a set of specialized agents, supporting fine-grained adaptivity grounded in learning science. We describe its architecture, foundations, and measurement agenda."
}

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%0 Conference Proceedings
%T A Multi-Agent Architecture for Valid, Reliable, and Scalable Skills Assessment
%A Imundo, Megan N.
%A Harra, Kjorte
%A Reilly, Lesley
%A Hammon, Cory
%A Zito, Lauren
%A Nieser, Catrina
%A Gross, Betheny
%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 imundo-etal-2026-multi
%X Credentials often fail to capture skills developed outside formal education, limiting access to opportunity. We introduce Current Skills Validation, a multi-agent architecture that decomposes skills assessment into a set of specialized agents, supporting fine-grained adaptivity grounded in learning science. We describe its architecture, foundations, and measurement agenda.
%U https://aclanthology.org/2026.aimecon-main.14/
%P 139-145

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Markdown (Informal)

[A Multi-Agent Architecture for Valid, Reliable, and Scalable Skills Assessment](https://aclanthology.org/2026.aimecon-main.14/) (Imundo et al., AIME-Con 2026)

A Multi-Agent Architecture for Valid, Reliable, and Scalable Skills Assessment (Imundo et al., AIME-Con 2026)

ACL

Megan N Imundo, Kjorte Harra, Lesley Reilly, Cory Hammon, Lauren Zito, Catrina Nieser, and Betheny Gross. 2026. A Multi-Agent Architecture for Valid, Reliable, and Scalable Skills Assessment. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 139–145, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).