June 18, 2026

If you're starting to think about what next year might look like, one of the easiest ways to add data skills to your courses is to anchor a unit around a good dataset. In this session, Dr. Nigel Standish will walk through five datasets from the DataClassroom Resource Library, spanning biology, chemistry, environmental science, and more.

For each one, he'll show how you might use it in class: what questions it can answer, what graphs and tests students can run, and how to connect it to the content you're already teaching. If you're looking for low-prep ways to work more data into your fall courses, this is a good place to start.

May 12, 2026

Students try to default to bar graphs for everything. This webinar helps educators teach principled visualization choices — when to use scatter plots, box plots, histograms, or line graphs — and how the shape of the data and the kinds of variables should drive the decision. Includes live DataClassroom demos and ready-to-use classroom examples. Presented by DataClassroom cofounder, Dr. Aaron Reedy.

Asynchronous

During virtual office hours we can:

bounce ideas around with you
help you find pre-made lessons aligned to your standards
teach you to upload or insert student-collected data on Tuva
co-plan a lesson to incorporate real-world data
help you craft questions to emphasize specific data literacy skills
demonstrate Tuva's accessibility features
give you a general tour of Tuva or Tuva Jr.

June 15-18, 2026

Inclusion criteria: You are eligible to participate if you are a middle school science teacher in the Mountain West who can commit to incorporating a Data Puzzle lesson in your science or STEM classroom, and who can attend a 4-day VIRTUAL professional learning (PL) workshop from June 15-18, 2026, a series of virtual meetups during the school year, and a second virtual PL in summer 2027 to be determined.

You will be compensated at $30/hr for attending the 4-day PL and subsequent meetups. Participants may also choose to receive two credits for Continuing Education (non-degree-seeking) or receive an additional $180.00 for attending the 4-day PL workshop and engaging in the related research.

If you have any questions please reach out to the lead developer of the Data Puzzles Jonathan Griffith: jonathan.griffith@colorado.edu or the lead for the research study Kerri Wingert kerri.wingert@colorado.edu This study, “Data Puzzles: Collaborative Research” is being conducted at CU Boulder under IRB #24-0415.

Asynchronous

The Building Blocks for Data Literacy Table is designed as a reference and discussion-starter for teachers and other educators as we all explore how to engage K-12 students with data. It is a draft — an ongoing work in progress that will evolve with input from readers.

June 15-19, 2026

As part of our continuing partnership with NexTech, we're bringing our Artificial Intelligence curriculum to Bloomington, Indiana! We're inviting teachers from across Indiana — including those who've attended our Data Science PD in the past — to join us for this exciting PD event. Learn about the foundational algorithms that govern modern tools like song recommendations, plagiarism detection, classification, and statistical language models, in a fun and engaging way that applies K-12 concepts to real-world AI contexts. No prior CS experience is required, and this event is open to CS, DS, and AI teachers as well as math and science teachers who are looking for integrated activities show real-world applications grade-level content in their classes. For more information and to sign up now, visit the CS+AIPdWeek website.