Teacher Professional Development on AI Integration: A Qualitative Study of Programs and Pedagogies

• In Event: AERA Poster Session Friday 1:45 pm
  In Poster Session: Developing AI Literacy and Teacher Professional Competence

Abstract

As artificial intelligence (AI) becomes widely adopted in education, quality teacher AI professional development (AIPD) is essential. We analyzed 59 publicly available K–12 AIPD programs. Guided by the Intelligent‑Technological Pedagogical Content Knowledge framework (i‑TPACK), we coded topics, AI tool features, and PD activities. We found that existing PDs emphasized technological-pedagogical and general-technological knowledge, with ethics commonly present, while field-specific content is rare. A quarter of the reviewed PDs included “General AI” modules, but few introduced education‑specific tools like MagicSchool or Khanmigo. Most programs target teacher productivity over student‑facing uses. Hands‑on work is typical, but coaching/expert support and feedback are limited in mostly asynchronous formats. These deficiencies suggest a need for more targeted, interactive AIPD.

Authors

• Ai-Chu Elisha Ding, University of Georgia

• Jennifer Kleiman, University of Georgia

• Ying Zhang, University of Georgia

• Lehong Shi, University of Georgia

• Kexin Zhang, University of Georgia

• Zixian Jiang, University of North Carolina - Chapel Hill

• Xiaoming Zhai, University of Georgia