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Artificial Intelligence Solutions


A foundational information architecture for helping school districts plan, evaluate, implement, and sustain effective technology and artificial intelligence initiatives.

A practical knowledge base for district leaders

The proposed pages combine strategic guidance, technical foundations, classroom applications, governance, and implementation support. Together, they create a path from early planning to responsible, districtwide adoption.

Core Strategy & Vision

AI in K-12: Strategic Roadmap for School Districts

High-level guidance on assessing readiness, setting priorities, and building a multi-year AI adoption plan.

Technology Integration Frameworks for Modern Classrooms

Practical application of models such as SAMR, TPACK, and Triple E in district contexts.

Digital Equity & Access Initiative

Addressing device, connectivity, and skill gaps so technology—and AI—benefits every student.

Data Standards & Interoperability

Understanding Ed-Fi and Common Education Data Standards

Clear explanations of Ed-Fi, CEDS, and related standards with implementation pathways.

Student Information System (SIS) Integration Best Practices

How to achieve reliable data flow between SIS, LMS, assessment, and AI tools.

Data Governance & Interoperability Playbook

Policies, roles, and technical approaches for clean, secure, usable district data.

AI-Specific Essential Content

Responsible & Ethical AI Use Guidelines for K-12

District-ready principles covering bias, transparency, human oversight, and student agency.

AI Tools for Teachers: Classroom Applications That Work

Curated, classroom-tested uses of AI for lesson planning, differentiation, feedback, and enrichment.

Student Data Privacy, FERPA, COPPA & AI

How AI tools interact with privacy laws and practical compliance steps.

AI for Personalized Learning & Adaptive Pathways

Evidence-based approaches and system requirements for truly personalized instruction.

Assessing AI Impact on Teaching, Learning & Assessment

Frameworks for measuring effectiveness and avoiding hype.

Software Systems & Infrastructure

Evaluating & Selecting K-12 Software Systems

Rubrics and processes for SIS, LMS, assessment platforms, and AI vendors.

Cybersecurity Essentials for School Districts

Threat landscape, NIST-aligned practices, and protection of student and operational data.

Cloud Migration & Hybrid Infrastructure for Education

Decision criteria, cost models, and security considerations for district systems.

Single Sign-On, Identity Management & Access Control

Modern identity strategies that support both traditional systems and AI tools.

Implementation & Capacity Building

Professional Learning Pathways for AI & Technology Integration

Role-specific development plans for teachers, coaches, and administrators.

Change Management for Technology Initiatives

Proven approaches to adoption, resistance, and sustained use of new systems and AI.

Case Studies: District Success Stories in Tech & AI

Real implementations with outcomes, challenges, and lessons learned.

Emerging Issues & Support

Emerging Technologies Horizon Scan for K-12

Regularly updated view of AI agents, immersive technology, analytics, and other developments worth watching.

Vendor Evaluation & Contract Guidance for AI Tools

Checklist covering data rights, model transparency, total cost of ownership, and exit strategies.

Recommended Publishing Priorities

Begin with the topics currently driving the strongest interest among K-12 technology and leadership audiences:

  • Responsible AI and practical applications for district planning and classroom use
  • Data standards and interoperability across SIS, LMS, assessment, and AI systems
  • Student privacy and responsible data use, including FERPA, COPPA, governance, and security
  • Practical classroom and system guidance that helps educators and technology teams move from principles to implementation