No Concept Left Behind:Transforming Education Through AI

Evidence-based research on artificial intelligence integration in K-12 education

The No Concept Left Behind initiative is pioneering research into how AI can enable true mastery-based learning—where every student achieves deep understanding of every concept before moving forward. Through comprehensive stakeholder research across Central Texas high schools, we're building evidence-based recommendations for responsible AI adoption that enhances learning outcomes, supports educators, and ensures equality for all students.

Our Research Focus Areas

Exploring how AI can transform education while ensuring every student succeeds

Personalized Learning

How AI adapts to individual student needs and learning styles

Mastery-Based Progression

No student moves forward without understanding (300 concepts model)

Teacher Empowerment

AI tools that reduce workload and enhance instruction quality

Equality & Access

Ensuring all students benefit from AI integration regardless of background

Who We Engage

Gathering comprehensive insights from all education stakeholders

Teachers

Understanding classroom technology integration and AI potential

  • • Classroom AI tools usage
  • • Training and support needs
  • • Student engagement impact
Students

Exploring student perspectives on AI tools and learning

  • • AI tool preferences
  • • Learning effectiveness
  • • Future expectations
Administrators

District policies, implementation strategies, and equality

  • • Policy development
  • • Budget considerations
  • • Equality initiatives
IT Professionals

Infrastructure readiness and security considerations

  • • System integration
  • • Security protocols
  • • Technical support

Why Participate?

Your voice shapes the future of AI in education

Shape Policy

Your voice shapes the future of AI in education policy and implementation

Evidence-Based Recommendations

Contribute to evidence-based policy recommendations for your community

Best Practices

Help develop best practices for AI integration in your educational community

Research Insights

Receive summary of aggregated research findings and insights

Current Research

Comprehensive analysis of AI integration in education

National Landscape Analysis

  • • Analysis of 8 state AI education initiatives
  • • Ohio AI Strategy implementation study
  • • Khan Academy's Khanmigo effectiveness research
  • • Amplify platform integration case studies

Local Focus

  • • Central Texas high school perspectives
  • • As-Is vs To-Be educational process transformation
  • • Stakeholder readiness assessment
  • • Equality and access analysis

Educator or Administrator?

Access your dashboard to view research insights, download resources, and explore AI integration strategies for your institution.