The AI Conceptual Learning Framework (AICLF): A Model for AI Learning Laboratories in Education and Organizations

Abstract

This study introduces the AI Conceptual Learning Framework (AICLF), a conceptual model designed to support the development of artificial intelligence understanding through structured reasoning, sociotechnical awareness, and adaptive learning processes. The framework addresses limitations in traditional instructional approaches that often emphasize procedural skill acquisition over conceptual comprehension. The AICLF is organized around interconnected conceptual dimensions that collectively support learner engagement with AI-enabled environments, fostering interpretation, evaluation, and decision-making within complex contexts. By integrating principles from artificial intelligence education, adult learning, and sociotechnical systems, the framework provides a foundation for advancing conceptual understanding and applied reasoning. This study contributes a theoretically grounded model that may inform instructional design, workforce development strategies, and AI literacy initiatives across diverse educational and professional settings.