Full course description
Welcome to the Michigan Math & Data Science Summit, an event designed to bring together educators, policy makers, industry professionals, and more, to find better ways for our systems to support the modern needs of our students. Register below to attend and interact with peers across the state and leaders of the field, including our two keynote speakers, Dr. Emmanuel Schanzer from Bootstrap and Dr. Jo Boaler from Stanford University and YouCubed.
Keynote Addresses
Why AI and Data Science Should Replace Math (and other lies you've been told)
--- Dr. Emmanuel Schanzer, Bootstrap
Generative AI and data science are fundamental shifts in how humans solve problems. Many reformers argue that traditional mathematics—plotting points, measuring angles, linear and non-linear functions—is now obsolete, suggesting we should replace those classes with AI and Data Science instead. They claim that because applications have changed, the curriculum must be discarded.
In this opening keynote, we dismantle the false choice between mathematical fluency and modern literacy. We will explore why AI actually *needs* the foundational math already in our standards, and how our classrooms can be supercharged by the concrete, high-interest applications these new technologies provide. Education and school leaders will leave with a clear-eyed vision: we aren't replacing the math in our classes; we're using Data Science and AI as the ultimate answer to "When am I ever going to use this?", and provide the motivation and application students crave.
Generative AI and data science are fundamental shifts in how humans solve problems. Many reformers argue that traditional mathematics—plotting points, measuring angles, linear and non-linear functions—is now obsolete, suggesting we should replace those classes with AI and Data Science instead. They claim that because applications have changed, the curriculum must be discarded.
In this opening keynote, we dismantle the false choice between mathematical fluency and modern literacy. We will explore why AI actually *needs* the foundational math already in our standards, and how our classrooms can be supercharged by the concrete, high-interest applications these new technologies provide. Education and school leaders will leave with a clear-eyed vision: we aren't replacing the math in our classes; we're using Data Science and AI as the ultimate answer to "When am I ever going to use this?", and provide the motivation and application students crave.
Data Minds! Developing Data Literacy Across the Grades
--- Dr. Jo Boaler, Stanford University and YouCubed
Developing students’ curiosity about data is essential for preparing them to navigate an increasingly data-rich world. This work begins in the earliest grades and grows over time, as students learn to engage with data in multidimensional ways—posing meaningful questions, exploring patterns, setting up models, and communicating their insights. In this session, I will highlight the importance of data literacy and share examples of how teachers across grade levels are fostering inquisitive, analytical “data minds” in their classrooms.
Developing students’ curiosity about data is essential for preparing them to navigate an increasingly data-rich world. This work begins in the earliest grades and grows over time, as students learn to engage with data in multidimensional ways—posing meaningful questions, exploring patterns, setting up models, and communicating their insights. In this session, I will highlight the importance of data literacy and share examples of how teachers across grade levels are fostering inquisitive, analytical “data minds” in their classrooms.