Full Description
Develop curious minds. Empower every learner. Shape the future.
How can we prepare students for a world where data-driven decision-making shapes nearly every aspect of life? Data Minds: How Today's Teachers Can Prepare Students for Tomorrow's World helps K-8 educators infuse data literacy into everyday lessons across disciplines, without overwhelming existing curricula. Data literacy is an ability and willingness to engage with and understand data in the world, and it can be incorporated throughout the school day to encourage student agency.
Legendary educators Jo Boaler and Cathy Williams inspire teachers to develop "data minds" in their students—fostering analytical, creative, and skeptical thinkers who can successfully navigate the data-rich world.
Aligned with current math, STEM, and GAISE II standards, this book
Provides innovative, real-world stories from classrooms across the globe, offering inspiration and insight from other educators
Highlights five key habits of mind that position students actively, giving them a role in seeking and investigating knowledge deeply
Includes engaging and fascinating examples of data visualizations that demonstrate that data analysis goes way beyond charts and strings of numbers
Offers flexible frameworks, including the Four-Part Data Cycle, that focus on asking questions, analyzing patterns, and developing multi-modal representations like graphs, maps, and even art pieces
Presents extensive teacher "data moves," reflection questions, and examples in each chapter showing how to connect lessons to students' interests, from oceanography to basketball
Includes online access to free professional development resources and accompanying lessons through Stanford University's youcubed
From forming data questions to cultivating creativity, Data Minds will help educators turn every lesson into an opportunity for meaningful discovery. By integrating data literacy into the curriculum, teachers can unlock new levels of student engagement at the same time they are preparing learners for the demands of tomorrow's workforce.
Contents
How to Read This Book
Chapter 1: Why Our Students Need Data Minds
Chapter 2: Asking Questions
Chapter 3: Pattern Seeking
Chapter 4: Creating Data Representations
Chapter 5: Improving the World With Data
Chapter 6: More Data Teaching Moves
Chapter 7: A Call to Action
References
Index
