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What States Say about Evaluating AI in Education: Reviewing Guidance from 32 States and Puerto Rico

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Title: What States Say about Evaluating AI in Education: Reviewing Guidance from 32 States and Puerto Rico
Language: English
Authors: Pati Ruiz, Yenda Prado, Jeremy Roschelle, Judi Fusco, Digital Promise
Source: Digital Promise. 2025.
Availability: Digital Promise. 1001 Connecticut Avenue NW Suite 935, Washington DC 20036. Tel: 202-450-3675; e-mail: contact@digitalpromise.org; Web site: https://digitalpromise.org/
Peer Reviewed: N
Page Count: 20
Publication Date: 2025
Document Type: Information Analyses
Reports - Research
Descriptors: Artificial Intelligence, Technology Uses in Education, Evaluation Methods, State Policy, State Standards, Educational Research, Educational Trends, Trend Analysis, Best Practices
Abstract: This report examines state-level AI in Education evaluation guidance across 32 U.S. states and Puerto Rico. The report defines evaluation as the systematic assessment of impact and categorized state AI guidance across three developmental evaluation stages: Nascent & Exploratory, Emergent & Piloting, and Systematic & Evidentiary. Findings showed a majority of states and localities engaged in exploratory activities, with a smaller number engaging in small-scale pilots. Few states engaged in systematic, large-scale, assessment of the impact of AI-enabled edtech tools on student learning outcomes. The report provides recommendations for progressing through the three developmental evaluation stages outlined above; as well as integrating co-design feedback loop processes into evaluation activities as a useful framework to support states' AI in Education evaluation efforts.
Abstractor: As Provided
Entry Date: 2026
Accession Number: ED678842
Database: ERIC
FullText Text:
  Availability: 0
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  Data: What States Say about Evaluating AI in Education: Reviewing Guidance from 32 States and Puerto Rico
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  Data: Digital Promise. 1001 Connecticut Avenue NW Suite 935, Washington DC 20036. Tel: 202-450-3675; e-mail: contact@digitalpromise.org; Web site: https://digitalpromise.org/
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  Data: This report examines state-level AI in Education evaluation guidance across 32 U.S. states and Puerto Rico. The report defines evaluation as the systematic assessment of impact and categorized state AI guidance across three developmental evaluation stages: Nascent & Exploratory, Emergent & Piloting, and Systematic & Evidentiary. Findings showed a majority of states and localities engaged in exploratory activities, with a smaller number engaging in small-scale pilots. Few states engaged in systematic, large-scale, assessment of the impact of AI-enabled edtech tools on student learning outcomes. The report provides recommendations for progressing through the three developmental evaluation stages outlined above; as well as integrating co-design feedback loop processes into evaluation activities as a useful framework to support states' AI in Education evaluation efforts.
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      – SubjectFull: Artificial Intelligence
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      – SubjectFull: Technology Uses in Education
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      – SubjectFull: Evaluation Methods
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