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    <abstract>We investigate the reliability of two scoring approaches to early literacy decoding items, whereby students are shown a word and asked to say it aloud. Approaches were rubric scoring of speech, human or AI transcription with varying explicit scoring rules. Initial results suggest rubric-based approaches perform better than transcription-based methods.</abstract>
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%0 Conference Proceedings
%T Examining decoding items using engine transcriptions and scoring in early literacy assessment
%A Schultz, Zachary
%A Young, Mackenzie
%A Dugdale, Debbie
%A Lottridge, Susan
%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 2025
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-218-84229-1
%F schultz-etal-2025-examining
%X We investigate the reliability of two scoring approaches to early literacy decoding items, whereby students are shown a word and asked to say it aloud. Approaches were rubric scoring of speech, human or AI transcription with varying explicit scoring rules. Initial results suggest rubric-based approaches perform better than transcription-based methods.
%U https://aclanthology.org/2025.aimecon-wip.23/
%P 191-196

Markdown (Informal)

[Examining decoding items using engine transcriptions and scoring in early literacy assessment](https://aclanthology.org/2025.aimecon-wip.23/) (Schultz et al., AIME-Con 2025)

• Examining decoding items using engine transcriptions and scoring in early literacy assessment (Schultz et al., AIME-Con 2025)

ACL

• Zachary Schultz, Mackenzie Young, Debbie Dugdale, and Susan Lottridge. 2025. Examining decoding items using engine transcriptions and scoring in early literacy assessment. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress, pages 191–196, Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).