Stephen McKenzie Math/Science Teacher CEEAS Unjammed Teacher Fellow Woodsbend YDC Alternative High School West Liberty, Kentucky
“Tuva allows for higher-order thinking by eliminating the mechanical processes of physically creating and organizing graphs, which is difficult for students who are behind or have difficulty with mathematics. Students can easily manipulate data, variables, and graphs in a drag-and-drop environment that is both familiar and easy to understand. They discover patterns and trends in data that are meaningful to them. It is incredibly cross-curricular and works very well in mixed-ability and mixed-grade-level classrooms, like mine. Tuva is the next evolution of the graphical expression of data in education.”
At Tuva, we have been working closely with the team at the Friday Institute at NC State, led by Dr. Hollylynne Lee, to bring our dynamic, easy-to-use, yet powerful data analysis and visualization tools to be used in a Massive Open Online Course for Educators (MOOC-ED) that is focused on “Teaching Statistics Through Data Investigations”.
The course is designed to develop the pedagogy and content understanding for teachers (and teacher educators) in middle school, high school, and AP/ intro college levels. There will be many choices and options in the course for teachers to focus their learning around content area that they teach.
The course will launch March 9th and will run for 8 weeks. Registration is FREE, and there is an opportunity for teachers to earn Continuing Education Units (CEUs) if they complete all activities in the course and do a project. It may be a great opportunity for teachers to work in teams or PLCs to complete the course together.
In the course, participants will see many video-based examples of students and teachers engaging in data and statistics tasks, hear from a panel of experts on teaching statistics (Chris Franklin, Susan Friel, Webster West), learn about statistical habits of mind, be introduced to a framework for developing students’ statistical sophistication (adapted from GAISE), examine tasks, and engage with real data sets using tools such as Tuva.
Now doesn’t that all sound fun? Especially if you also have the option of engaging in discussions with teachers from all around the world?
Please help us spread the word about this course by sharing it with your school contacts and teacher networks.
We are excited to be a part of this wonderful professional development opportunity for teachers on a wide scale and hope that it can serve thousands of educators in their efforts to bring data literacy to their students!