Developing Teaching Competencies for AI-Enhanced Learning

Digital transformation demands new teaching competencies for AI-enhanced learning. This study analyzes teachers' roles in intelligent tutoring systems to inform competency frameworks for pedagogical innovation. Through systematic analysis of 71 studies from the International Journal of Artificial Intelligence in Education (1997-2021), we identified three competency domains: domain expertise (32%), active user capabilities (46%), and developer skills (2%). Teachers function as essential partners in AI-enhanced ecosystems, contributing specialized knowledge and orchestrating technology-integrated experiences. Successful integration requires competencies spanning technical proficiency, pedagogical innovation, data interpretation, and ethical decision-making. Results show AI transforms rather than replaces teaching roles, creating personalized instruction opportunities while challenges persist including technology anxiety and resource constraints. This analysis provides foundation for competency-based professional development programs supporting educational technology integration.