What is Zelma?

Zelma is an AI‑powered query interface for the Education Data Center’s state assessment repository. It lets researchers, policy analysts, and educators ask natural‑language questions to retrieve standardized test scores, demographic breakdowns, and trend data across states.

Users can drill down into codebooks, download raw data files, and access an API for programmatic analysis, all within a single dashboard. The tool supports data exploration for K‑12 assessment results, allowing stakeholders to identify gaps and monitor progress over time.

Integration with EDC’s latest Version 3.0 data released December 9, 2025 ensures up‑to‑date information for evidence‑based decisions. Zelma’s query logic maps user prompts to precise dataset filters, returning concise answers without manual spreadsheet work.

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Zelma's key features

  • Query assessment data via AI
  • Explore data with Zelma AI
  • Custom AI data query tool
  • AI-driven data exploration interface
  • Programmatic access via API

Zelma use cases

  • Retrieve state‑by‑state English proficiency trends from 2019‑2022 using natural‑language queries and export the results as a CSV for a policy briefing
  • Generate a demographic gap analysis for 5th‑grade math scores, including codebook references, and embed the summary into a report without coding
  • Use the API to pull quarterly assessment data, feed it into a real‑time dashboard, and receive automatic alerts when scores fall below a threshold

Who is it for?

  • Data researchers
  • Academic educators
  • Statistical analysts
  • Government officials
  • Data visualizers

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