Summary of An Nlp Crosswalk Between the Common Core State Standards and Naep Item Specifications, by Gregory Camilli
An NLP Crosswalk Between the Common Core State Standards and NAEP Item Specifications
by Gregory Camilli
First submitted to arxiv on: 27 May 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a novel NLP-based approach to support subject matter experts in establishing a crosswalk between item specifications and content standards. Building on recent work, the authors introduce multivariate similarity based on embedding vectors for sentences or texts. The hybrid regression procedure is demonstrated for matching each content standard to multiple item specifications. Specifically, the approach is applied to evaluate the match of the Common Core State Standards (CCSS) for mathematics at grade 4 to the corresponding item specifications for the 2026 National Assessment of Educational Progress (NAEP). |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps experts match learning goals with test questions. It uses special computer programs to compare texts and find matching topics. The goal is to make sure education standards are accurate and fair. This method could help improve how we assess student knowledge. |
Keywords
» Artificial intelligence » Embedding » Nlp » Regression
