Teacher AI Competency

Created: 2026-05-08 | Tags: ai-literacyfaculty-developmentk-12

Synthesis

Teacher AI competency encompasses the knowledge, skills, and dispositions required for effective AI integration in educational contexts. Emerging frameworks identify three competency dimensions:

1. Technical Proficiency

2. Pedagogical Integration

3. Ethical & Critical Use

The Competency Gap

Zhang et al. (2026) documented a 40% gap between self-reported and performance-based AI competency. Teachers confident in AI skills often lack foundational prompting and evaluation abilitiesโ€”highlighting the need for performance-based assessment.

Connections

References

Zhang, S., Xiao, R., et al. (2026). How to Assess AI Literacy: Misalignment Between Self-Reported and Performance. arXiv:2601.06101.

Xiao, R., Ye, R., et al. (2026). Transforming GenAI Policy to Prompting Instruction: An RCT. arXiv:2602.16033.

Wang, J., Xiao, R., et al. (2025). LLMs to Support K-12 Teachers in Culturally Relevant Pedagogy. arXiv:2505.08083.

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