Home of the Better Book project, a new model for education research and development. Free online materials for teaching stats & data science for HS and college.

Joined May 2019
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27 Apr 2021
Check out our new trailer explaining what our free interactive set of #Statistics and #DataScience materials is all about! Feat. #Rstats #Jupyter #LearningAnalytics @sdschools @cogscimom @teaching_ninJa Full version here: vimeo.com/517304506
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Miss us at eCOTS this week? You've got one more chance! Join us next Tuesday as we rethink assessment in the age of AI. Details ⤵️
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Honored that CourseKata co-founder Ji Son has been invited to speak at Harvard’s upcoming convening: Teaching Statistics in the Age of Agentic AI!
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Reminder: apps are open for CourseKata’s 2026 Summer Institute for College Instructors! Join this free, 3-day virtual workshop to explore research-based teaching, modern computational methods, and how modeling can unify intro stats! Apply here: zurl.co/wdpJ4
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Quick reminder to join our Teaching Innovation Potluck happening this Thursday, May 21, 3:30 - 5 PM (PT). Hear directly from our instructors about innovations that help CourseKata work for students. There’s still time to register here: zurl.co/Gho5R
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Join @theNASEM virtual meeting on transforming undergraduate STEM through technology! CourseKata’s Ji Son will join lightning talks on data-centered course design for more equitable, engaging STEM learning. 📅 May 21, 11:00 AM–1:00 PM ET 🔗Register: events.nationalacademies.org…
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Join our Teaching Innovation Potluck where featured instructors will share innovations that help CourseKata work for students. Register here: zurl.co/QqbiK
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We're at Western Psychological Association this Week! Come check them out if you’re at WPA!
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Join the CourseKata Fellowship to bring a modern statistics and data science course to your students - for free. 👉 Apply now:zurl.co/QxL4O
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How can real data help students see algebra as meaningful and powerful? Join us at the NCCTM 2026 Western Region Conference to explore how authentic datasets, visualization, and coding can help students build modeling skills and investigate real questions through functions.
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In our latest blog post, Jim Stigler reflects on why sustained reading still matters – especially in statistics and data science education. Complex ideas time to understand. Reading, paired with interaction and exploration, creates space for that learning to happen.
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We shouldn’t remove the hard parts of learning – we should help students through them.  🔗 Read the blog: coursekata.org/news-announce…

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In less than a month, CourseKata is heading to #AERA2026 in Los Angeles! Join us at the American Educational Research Association Annual Meeting for posters, papers & roundtables on motivation, equity, and innovation in stats & data science. 📊✨
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We’re thrilled that our own Ji Son is a special guest for a FREE Zoom with the Math Project at Sac State! 📅 3/18 | 4:15-5:45 PM “What Makes a Character Loveable (or Punchable)?” Explore what we value using data beginner-friendly coding. Register: zurl.co/Jywd6
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📊 Study Group starts next week! Join our FREE virtual study group to explore the CourseKata interactive textbook, experience it from the student perspective, and get ready-to-use teaching resources. Learn more and register here zurl.co/mf8LZ
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Conference Spotlight: CourseKata at WVCTM 2026! Explore real opioid data to teach modeling, visualize patterns, & connect math to the real world. Hands-on, beginner-friendly — no coding needed. 💡📊 #MathEd #DataScienceInClass
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Conference Spotlight: CourseKata at NCTIES26! How do we make math more engaging, authentic, and future-ready? With Jupyter Notebooks – where code, data, & explanation live so students think and communicate like real data scientists. Join us for hands-on, classroom-ready ideas!
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Conference Spotlight: CourseKata at NCMATYC 2026! Learn how DATA = MODEL ERROR transforms intro stats into meaningful, model-centered stories. Explore real data, coding, & equity-focused strategies for student success. 💻📊 #StatsEd #DataScience
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Almost every educator has thought of some version of this: “But my students are different.” Often, that’s true. Context matters. Students matter. Teaching is deeply local.
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Using CourseKata as a shared learning environment, a sequence model trained in one institution successfully generalized to another, a result that’s rarely even attempted in education research.
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When we build shared, thoughtfully designed learning environments, difference doesn’t have to mean isolation. Cross-institution generalization isn’t just a win for machine learning. It’s an invitation to build systems that let us learn together, rather than alone.
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