Teacher Role in AI-Enhanced Education

Teacher role — how AI reshapes the work, identity, and agency of educators. With 50+ articles examining this dimension, the wiki documents a fundamental transformation: from sole knowledge authority to orchestrator of human-AI learning environments.

How AI transforms teaching

From instructor to orchestrator: Five levels of teacher-AI teaming and agency orchestration research map the spectrum from AI as tool to AI as teaching partner.

Workflow transformation: AI Changing Teaching Workflows documents how AI shifts teacher time from content delivery to higher-value activities like individual support and curriculum design.

Competency demands: Teacher AI competency frameworks define what educators need to know. Adoption studies identify barriers: confidence, institutional support, and workload concerns.

Co-design and agency: Teacher-authored prompts and vibe coding for teachers show educators as active AI designers, not passive consumers.

Preservice preparation: TPACK-based training and Faculty Development programs prepare future teachers for AI-augmented classrooms.

The orchestration metaphor

The dominant metaphor in the wiki is orchestration: teachers coordinate human learners, AI tutors, and curriculum resources. This contrasts with replacement narratives — AI augments rather than substitutes for human teaching.

Connections

Teacher role connects to Faculty Development (how teachers are prepared), AI Literacy (teacher AI competency), K 12 and Higher Ed (context-specific implications), and Scaffolding (how teachers scaffold AI use for students).