This full-day workshop is broken into four phases that strategically guide educators through a progression of understanding and awareness, to decision-making and the development of classroom strategies to thoughtfully engage with AI in an educational setting.

Part 1: AI Awareness and Overview—Currently Available AI Technology
We will explore the current (and rapidly changing) landscape of AI and engage with platforms and resources available to educators and students. Understanding the landscape allows us to have informed discussions moving forward. The purpose of Part 1 is to increase awareness of the general capacity of the AI tools that are publicly available.

Part 2: Hands-On Creation
We will create with AI tools, learn how to manipulate AI text generation, and explore AI creation beyond text output. Visual, audio, and video creation will be explored to provide a full scope of the current and future capacity of AI. This segment is designed to increase comfort and allow educators the space and time to manipulate AI tools. An emphasis will be placed on understanding how to strategically create with AI tools.

Part3: Implication for Curriculum and Assessment
There are immediate and long-term implications on curriculum design and assessment strategies with AI available to our students. We will explore AI through the lens of equity and begin to explore how we might start redesigning curriculum and assessment alongside AI.

Part 4: Practical Classroom Approaches
With an understanding of the capacity of AI, we will explore current practices and reactions to AI in education. Working along a spectrum of network restrictions to the creative adoption of AI in the classroom, participants will explore practical approaches to AI in their schools and classrooms. We will also explore and refine overarching questions that educators can use to facilitate discussions.

This workshop will focus on how to integrate the practical science of motivation along with the practical application of the science of learning and retention.

Dr. Yan, assistant professor in the Department of Educational Psychology at the University of Texas, studies the cognitive underpinnings of learning and instruction (memory & metacognition), integrated with social-psychological processes (motivation & mindset), in direct applications to classroom practices and self-regulated learning. In her work she bridges the social, cognitive, and educational psychology fields, exploring how to empower people to become motivated and effectively self-regulated learners.