An LLM-Enhanced Score Reporting Assistant for Teachers: System Design and Usability Evaluation

Shan Zhang; Caitlin Tenison; Diego Zapata-Rivera; Reginald Gooch; Maya Israel

An LLM-Enhanced Score Reporting Assistant for Teachers: System Design and Usability Evaluation

Shan Zhang, Caitlin Tenison, Diego Zapata-Rivera, Reginald Gooch, Maya Israel

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Abstract

This study introduces an LLM-powered Smart Report Assistant grounded in audience analysis and assessment design principles. Using retrieval-augmented generation, the system helps teachers interpret assessment data through personalized and conversational reporting. Results from a usability study indicate promise for supporting score interpretation and data-informed instructional decision-making.

Anthology ID:: 2026.aimecon-main.23
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:: 212–220
Language:
URL:: https://aclanthology.org/2026.aimecon-main.23/
DOI:
Bibkey:
Cite (ACL):: Shan Zhang, Caitlin Tenison, Diego Zapata-Rivera, Reginald Gooch, and Maya Israel. 2026. An LLM-Enhanced Score Reporting Assistant for Teachers: System Design and Usability Evaluation. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 212–220, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).
Cite (Informal):: An LLM-Enhanced Score Reporting Assistant for Teachers: System Design and Usability Evaluation (Zhang et al., AIME-Con 2026)
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PDF:: https://aclanthology.org/2026.aimecon-main.23.pdf

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    title = "An {LLM}-Enhanced Score Reporting Assistant for Teachers: System Design and Usability Evaluation",
    author = "Zhang, Shan  and
      Tenison, Caitlin  and
      Zapata-Rivera, Diego  and
      Gooch, Reginald  and
      Israel, Maya",
    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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    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.23/",
    pages = "212--220",
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    abstract = "This study introduces an LLM-powered Smart Report Assistant grounded in audience analysis and assessment design principles. Using retrieval-augmented generation, the system helps teachers interpret assessment data through personalized and conversational reporting. Results from a usability study indicate promise for supporting score interpretation and data-informed instructional decision-making."
}

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%0 Conference Proceedings
%T An LLM-Enhanced Score Reporting Assistant for Teachers: System Design and Usability Evaluation
%A Zhang, Shan
%A Tenison, Caitlin
%A Zapata-Rivera, Diego
%A Gooch, Reginald
%A Israel, Maya
%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 zhang-etal-2026-llm-enhanced
%X This study introduces an LLM-powered Smart Report Assistant grounded in audience analysis and assessment design principles. Using retrieval-augmented generation, the system helps teachers interpret assessment data through personalized and conversational reporting. Results from a usability study indicate promise for supporting score interpretation and data-informed instructional decision-making.
%U https://aclanthology.org/2026.aimecon-main.23/
%P 212-220

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Markdown (Informal)

[An LLM-Enhanced Score Reporting Assistant for Teachers: System Design and Usability Evaluation](https://aclanthology.org/2026.aimecon-main.23/) (Zhang et al., AIME-Con 2026)

An LLM-Enhanced Score Reporting Assistant for Teachers: System Design and Usability Evaluation (Zhang et al., AIME-Con 2026)

ACL

Shan Zhang, Caitlin Tenison, Diego Zapata-Rivera, Reginald Gooch, and Maya Israel. 2026. An LLM-Enhanced Score Reporting Assistant for Teachers: System Design and Usability Evaluation. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 212–220, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).