Graphing with Kids: Teaching the Superpower of Numbers and Data
Imagine a world in which numbers and data come alive to solve problems, spark curiosity, and tell captivating stories. This is the world of Daphne, the data-drawing dragon. Daphne thrives on transforming everyday questions into exciting adventures, using graphs and data to uncover answers and share discoveries.
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Spotlight
On the Pedagogy of Randomness: Effectively Teaching How Random Is Relative in High School
The authors argue that prominently including the idea that randomness is relative to the observer in statistical education pedagogy is important to support practical comprehension on why and how statistical tools work.
Integrating Data Science Practices into Informal Learning: A STEM Summer Camp Approach
This article offers a model for integrating accessible, equity-minded data science activities into informal learning programs. Readers will gain insights into practical strategies, adaptable lesson structures, and evaluation approaches they can apply to diverse educational contexts to inspire and prepare students for data-rich futures.
Some Paradoxes: Puzzling or Poorly Presented?
This article explores the use of statistical paradoxes—specifically the Will Rogers Phenomenon, Simpson’s Paradox, False Positive Paradox, and the Birthday Problem—as teaching tools for middle and high school students.
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ASA/NCTM Joint Committee Members Share Favorite Resources, Ideas
ASA/NCTM Joint Committee Members Share the July episode of “Adding It All Up” and thoughts about the power of hallway collaborations.
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How MAD Must We Be? A Robust Test for Identifying Meaningful Differences Using the Mean Absolute Deviation
This article introduces a method for identifying statistically meaningful differences between two data sets using the mean absolute deviation.
Statistics, Data Science Education: Key for Future of High School Mathematics
NCTM’s High School Mathematics Reimagined calls for fresh, relevant ways to teach math, focusing on real-world problem-solving and critical thinking. It emphasizes the importance of fostering critical thinking, statistical reasoning, and mathematical modeling to help students connect what they learn in the classroom to the real world.
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lesson plans
Lesson Plan: Sticky Note Statistics
By Joanne Caniglia, Kent State University Overview of Lesson This set of activities allows students…
Lesson Plan: Educational Level Implications on Careers in Statistics (ELICS) for Undergraduate Students
By Christina M. Wood-Wentz, Mayo Clinic, and Heather Cook, University of Southern Indiana Overview of…
Lesson Plan: Lizards Task Levels B and C: Teacher Version with Student Version
This lesson provides a secondary data set for students to explore to develop understanding of classification, a data science concept, using accessible technology called CODAP. Students will also answer statistical questions used at each of the four phases of the framework for statistical reasoning outlined in the Guidelines for Assessment in Statistics Education (GAISE) II.
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