Volume 2 - Issue 2, March - April 2026

The integration of artificial intelligence (AI) into K-12 education represents one of the most critical workforce development challenges facing the United States. While 74% of school districts aim to train teachers in AI by 2025, effective professional development models remain severely underdeveloped, creating a dangerous gap between policy ambitions and pedagogical preparedness. This longitudinal research study proposes to develop, implement, and validate evidence-based AI professional development (PD) models that demonstrably translate into measurable improvements in teacher competency, student AI literacy, and regional economic competitiveness. The research employs a mixed-methods approach spanning five years, integrating competency measurement using the Teacher AI Competence Self-Efficacy (TAICS) scale and AI-Technological Pedagogical Content Knowledge (AI-TPACK) frameworks with student outcome assessments and longitudinal workforce tracking. Through multi-site implementation across 30-50 diverse school districts, this study will identify which PD intervention models most effectively build teacher capacity to prepare students for an AI-integrated economy. The research directly addresses the critical workforce readiness crisis, wherein currently only 5% of US high school graduates possess the digital and AI foundations necessary for modern employment. By establishing validated PD frameworks with clear return on investment metrics, this research provides actionable guidance for federal and state education policy, potentially affecting the preparation of over 50 million K-12 students and determining whether the United States maintains or loses its competitive position in the global AI economy.

William Vortia, "Developing and Validating Evidence-Based AI Professional Development Models for K-12 Teachers: A Longitudinal Study on Teacher Competency Development, Student AI Literacy Outcomes, and Regional Workforce Readiness in California" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(2): Page(242-251) Mar-Apr 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.