Match Made in Learning: AI and the Move from Feedback to Feedforward

0 to 5 min – Welcome and Framing Participants will identify common frustrations with traditional feedback and consider the value of moving toward forward-looking guidance that helps students take their next steps during learning. 5 to 10 min – What Makes Feedback Work We will introduce research-based feedback principles: timely, specific, and focused on the learning process. Participants reflect on current practices and identify where feedback often breaks down. 10 to 40 min – AI Tool Demos (Role of Student) Participants will rotate through three feedback-rich tasks using different AI tools. Each demo focuses on a specific challenge: interpreting student thinking, delivering targeted guidance, or encouraging revision. After each tool experience, they respond to prompts such as: -What kind of thinking did the task reveal? -What feedback was generated? -How could a student act on it? 40 to 50 min – Reflect and Recognize Participants will revisit the feedback principles and discuss how the demos reflected feedback that is timely, specific, and actionable. This reflection helps translate their experience into effective instructional practice. 50 to 60 min – Plan and Close Participants will choose one tool or routine to pilot in their classroom. They will outline the task it supports, how students will engage with the feedback, and what success will look like. The session will end with a brief share-out and distribution of take-home resources.

Hattie, J., and Timperley, H. 2007. The Power of Feedback. Review of Educational Research. Hattie, J. 2023. Visible Learning: The Sequel. Wiliam, D. 2011. Embedded Formative Assessment.

Attendees will be able to access any tools during the session via web access and do not need to pre-install any software.