Meet the Publisher

Jackie Mahler

Learning Resource Designer,
Ed Tech Consultant, Author, Photographer, Intrepid Traveler

Favorite Color
💙 cobalt blue
Favorite Places
🐳 Big Sur, California
🦋 Monteverde, Costa Rica
🌈 Dubrovnik, Croatia
🎏 Kyoto, Japan

The Back Story

Editor in Chief, National Geographic Explorer magazines. Content strategist for STEM product line used by more than one million students in classrooms around the world

Instructional Designer/UX Reviewer for Redbird Mathematics, Imagine Learning, Amplify

Editorial Director at Teaching Strategies and Brookes Publishing, two early childhood publishers

Co-author of CORE’s Teaching Reading Sourcebook, the widely acclaimed professional learning resource endorsed by the National Council on Teacher Quality

Work that inspires us

Cairo, A. l. (2020). How charts lie: Getting smarter about visual information. New York, NY: W. W. Norton.

Krum, R. (2013). Cool infographics: Effective communication with data visualization and design. Indianapolis, IN: Wiley.

Lupi, G. & Posavec, S. Dear Data Project. dear-data.com

McCandless, D. (2012). Information is beautiful. London: HarperCollins.

Ribecca, S., & Schwabish, J. The Graphic Continuum Match It Game. datavizcatalogue.com

Rosling, H. (2010). 200 Years in 4 Minutes. You Tube.

Schulten, K. (2012, February 29). Teaching with infographics: Places to start. The Learning Network: New York Times. learning.blogs.nytimes.com/2010/08/23/teaching-with-infographics-places-to-start/

Trius, M., & Casals, J. (2020). Me and the world: An infographic exploration. San Francisco, CA: Chronicle Books.

Tufte, E. R. (2001). The visual display of quantitative information. Cheshire, CT: Graphics Press.

Yau, N. Flowing Data. flowingdata.com

© Karol Gadzala

 

Research that guides us

Börner, K., L, Bueckle, A., & Ginda, M. (2019). Data visualization literacy: Definitions, conceptual frameworks, exercises, and assessments. National Science Academies Press.

Drozda, Z., L, Johnstone, D., & Van Horne, B. (2021). Previewing the national landscape of K-12 data science implementation. National Science Academies Press.

Friel, S. N., Curcio, F. R., & Bright, G. W. (2001). Making sense of graphs: Critical factors influencing comprehension and instructional implications. Journal for Research in Mathematics Education.

King, A., Chew, N., Jay, A., MacClean, A., & Bargagliotti, A. (2021). A guide to modern data visualization. Math Horizons.

Lengler, R. & Eppler, M.J. (2007). Towards a periodic table of Visualization Methods for Management. IASTED International Conference on Graphics and Visualization in Engineering. A Periodic Table of Visualization Methods

Lee, S., Kim, S. H., & Kwon, B. C. (2017). VLAT: Development of a Visualization Literacy Assessment Test. IEEE Transactions on Visualization and Computer Graphics.

Martinez, W., & LaLonde, D. (2020). Data Science for Everyone Starts in Kindergarten: Strategies and Initiatives From the American Statistical Association. Harvard Data Science Review, 2(3).

Uyan Dur, B. I. (2018). The relation between infographics and visual literacy. International Trends and Issues in Communication & Media Conference.

Weiland, T., & Engledowl, C. (2022). Transforming Curriculum and Building Capacity in K–12 Data Science Education. Harvard Data Science Review4(4).

Weiland, T. & Williams, I. (August 21, 2023) Culturally Relevant Data in Teaching Statistics and Data Science Courses, Journal of Statistics and Data Science Education