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  • Data Minds: How Today’s Teachers Can Prepare Students for Tomorrow’s World

    Data Minds by Boaler, Jo; Williams, Cathy;

    How Today’s Teachers Can Prepare Students for Tomorrow’s World

      • GET 8% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice GBP 32.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        15 760 Ft (15 010 Ft + 5% VAT)
      • Discount 8% (cc. 1 261 Ft off)
      • Discounted price 14 500 Ft (13 809 Ft + 5% VAT)

    15 760 Ft

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    Availability

    Not yet published.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number First Edition
    • Publisher Corwin
    • Date of Publication 30 October 2025

    • ISBN 9781071969502
    • Binding Paperback
    • No. of pages192 pages
    • Size 254x177 mm
    • Language English
    • 700

    Categories

    Short 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.

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    Long 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.



    Data Minds is an absolute masterpiece. It is the first book I’ve read that effectively puts the tools of teaching data skills into the hands of teachers. This book should be required reading for everyone involved in K–12 education.

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    Table of 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

    More