5 Things to Consider When Planning AI Adoption at Your District: An Evaluation Guide

July 31, 2025
Pillar: AI in Schools

Navigate the AI inflection point with a purposeful evaluation framework

Evaluate AI-powered curriculum and instruction tools with a framework designed to move your district from hype to impact. This guide provides a synthesized look at pedagogical and technical considerations to help you choose solutions that support learning goals, provide scaffolded texts, and drive meaningful student outcomes across K–12 grade levels.

5 Core Pillars of AI Evaluation

Student Outcomes

Aligning AI to learning objectives and standards.

Ease of Use

Minimizing steps for teachers and students.

Specific Pain Points

Solving for differentiation and time-savings.

Equitable Access

Ensuring accessibility and minimizing bias.

Data Privacy

Compliance with FERPA, COPPA, and safety.

  • Ensure pedagogical alignment by selecting AI tools that enhance deeper thinking rather than automating basic tasks.
  • Leverage research-backed selection criteria synthesized from organizations like Common Sense and Digital Promise.
  • Drive data-informed instruction using AI to gather student insights and adjust instruction in real-time.
  • Implement responsibly by vetting content sources and training models for classroom-readiness and accuracy.

5 Things to Consider When Planning AI Adoption at Your District: An Evaluation Guide

Pillar: AI in Schools

Navigate the AI inflection point with a purposeful evaluation framework

Evaluate AI-powered curriculum and instruction tools with a framework designed to move your district from hype to impact. This guide provides a synthesized look at pedagogical and technical considerations to help you choose solutions that support learning goals, provide scaffolded texts, and drive meaningful student outcomes across K–12 grade levels.

5 Core Pillars of AI Evaluation

Student Outcomes

Aligning AI to learning objectives and standards.

Ease of Use

Minimizing steps for teachers and students.

Specific Pain Points

Solving for differentiation and time-savings.

Equitable Access

Ensuring accessibility and minimizing bias.

Data Privacy

Compliance with FERPA, COPPA, and safety.

  • Ensure pedagogical alignment by selecting AI tools that enhance deeper thinking rather than automating basic tasks.
  • Leverage research-backed selection criteria synthesized from organizations like Common Sense and Digital Promise.
  • Drive data-informed instruction using AI to gather student insights and adjust instruction in real-time.
  • Implement responsibly by vetting content sources and training models for classroom-readiness and accuracy.

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