The presentation will begin by setting the stage with an interactive activity that challenges participants to recall their most impactful feedback experience, both positive and negative. This will transition into the first content component: a foundational overview of research-backed feedback principles and their impact on teacher growth. This section will last approximately 15 minutes and will be highly interactive, incorporating a device-based poll or survey to gauge participants' current practices and beliefs about feedback. Following this, the presentation will introduce the role of AI in personalizing feedback. This 20-minute segment will provide a live demonstration of an AI-powered tool analyzing a short instructional video, showing how it can identify specific teaching strategies and provide data-driven insights. . To engage the audience, we will use a "think-pair-share" activity where participants discuss how this technology could address their current feedback challenges. The final 15 minutes will be dedicated to a practical application and planning session. Participants will work in small groups to develop a preliminary implementation plan for integrating both traditional and AI-supported feedback strategies into their schools. A brief report-out from each group will allow for peer-to-peer interaction and idea sharing, concluding the session with a clear, actionable path forward.
The presentation is a 50-minute session. The first 15 minutes will be dedicated to the foundational principles of feedback, including the initial interactive activity and the device-based polling. The next 20 minutes will focus on introducing the AI tool and demonstrating its capabilities, including the think-pair-share activity. The final 15 minutes will be used for the small-group planning session and peer-to-peer report-out, ensuring a concrete takeaway for all participants.
Throughout the session, engagement will be prioritized through a mix of tactics. We will use a device-based poll at the beginning to instantly capture audience perspectives and create a sense of shared inquiry. The live demonstration of the AI tool will serve as a powerful visual and experiential learning moment. Peer-to-peer interaction will be central to the think-pair-share and the final small-group planning activity, allowing leaders to learn from each other's experiences and collectively problem-solve. We will also use open-ended questions throughout the presentation to encourage dialogue and ensure the content remains relevant to the audience's specific contexts.
Participants will be able to identify at least three research-backed feedback strategies (unrelated to AI) that are proven to improve teacher practice, such as focusing on a single, high-leverage instructional move or using a strengths-based approach.
Participants will learn to use an AI-powered tool to analyze a sample instructional practice and generate actionable, data-driven feedback, demonstrating their ability to leverage technology for professional growth.
Participants will create a brief plan outlining how they can implement both research-backed and AI-supported feedback in their own school or district to foster a culture of continuous improvement for teachers.
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