AI for Educators

Many of the concerns that educators have about student AI use involve students misrepresenting their learning and mastery by having these tools do work for them. In the Solution Tree Master Class: Educator AI, Paul explores ways that teachers can build classroom structures and culture that promote the ethical use of AI. As with any other critical skill, teachers need to become AI literate themselves and then guide students through the ways that generative AI tools can help them learn better, instead of taking them out of the learning process.

Artificial Intelligence (AI) is rapidly shaping the future of education, yet without critical engagement, it risks reinforcing systemic biases and widening technological inequities. Dr. Stacie Chana, author of Experimenting With AI: Activities, Discussions, and Prompts for the Classroom and Beyond, empowers educational leaders to approach AI with a lens of equity and cultural responsiveness, ensuring that all learners are protected and informed about the challenges and opportunities AI presents. Participants will explore practical strategies for identifying AI bias, implementing responsible AI-driven decision making, and developing policies that support ethical AI integration. This session will equip leaders with the knowledge needed to critically assess AI tools, advocate for fair and just technology use in schools, and guide students in becoming discerning users of AI.