In this presentation, I will explore the transformative potential of professional agency within science (STEAM) teacher communities, with a particular focus on how Generative Artificial Intelligence (GAI) can enhance knowledge building and collaborative learning. Professional agency in teacher communities is a dynamic process that empowers educators to actively develop their teaching practices through collaborative interactions. Drawing on recent research, I will discuss five critical aspects of professional agency: transformative practices, collective efficacy, positive interdependence, mutual agreements, and active help-seeking. These dimensions are crucial for fostering an environment where teachers can continuously improve their pedagogical approaches and address educational challenges collaboratively.

Central to this exploration is the concept of Knowledge Building, a social process that emphasizes sustained idea-developing discourse. By examining how a group of science teachers can leverage both human expertise and AI capabilities, I will demonstrate how generative AI can serve as a powerful tool for their professional development. While acknowledging potential concerns about AI's impact on educational agency, I will argue that when used thoughtfully, GAI can help these science teachers diversify ideas, elaborate on theoretical foundations, and save time in information gathering. The key lies in maintaining a critical, human-centered approach that views AI as a collaborative partner rather than a replacement for professional judgment.