Integrating artificial intelligence into career and technical education: A scalable framework for innovation, curriculum design, and workforce alignment

Abstract

This article examines the transformative role of artificial intelligence (AI) in shaping effective, student-centered curricula for career and technical education (CTE) programs within the California State University (CSU) system. It argues that AI has the potential to sustain and enhance CTE offerings, preventing program closures such as the dissolution of the Professional Studies Department at California State University, Long Beach (CSULB) in 2009. Drawing on secondary data, institutional documents, published research, and the author's case-informed experience, the article develops a conceptual framework for AI-enabled curriculum design that aligns educational programs with labor market demands, supports personalized learning experiences, and strengthens enrollment by addressing the diverse needs of adult learners, particularly in fully online formats. Rather than reporting new statistical findings, this article uses conceptual analysis and illustrative diagrams to organize existing knowledge and propose practical directions for AI integration in CSU-based CTE programs.

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