Building Concepts: Statistics and Probability

Designed for middle grades mathematics educators that are beginning with or already using TI-Nspire™ technology and the Building Concepts lesson series, this workshop focuses on strategies for engaging students in new ways of visualizing and thinking about statistics and probability. By the end of the workshop, they should be able to say:

Pedagogy
I can use the Building Concepts progressions to develop and enhance conceptual understanding and improve reasoning.

• I can connect mathematical concepts through a coherent story within and across grades and share my part in the vertical alignment of concepts.
• I can leverage technology to enhance visualization in support of learning and developing concepts.
• I can implement effective teaching practices to support developing concepts, and I can empower learners to drive the conversation by asking and answering questions of others.

Content
I can analyze shape, center and spread of a distribution of data in context.

• I can describe variability of a distribution of data in terms of shape, center and spread.
• I can provide opportunities for learners to investigate and answer statistical questions.

Overview

This in-person workshop is available in one- and two-day options to accommodate educator-specific needs. A half-day workshop option is also available. The two-day workshop offers a more extensive exploration of topics. A virtual workshop is also available in multiple two- or three-hour sessions.

Technology	Beginner to advanced users of: TI-Nspire™ CX handhelds TI-Nspire™ software, and/or TI-Nspire™ App for iPad®
	Introduction to the progressions and Building Concepts lesson series Focus on visual models of data distributions, with emphasis on analyzing and interpreting appropriate measures of center and spread Exploration of how students’ understanding of statistics and probability is developed within and across grades six, seven and eight
	Introduction to leveled learning progressions and questioning strategies for formative assessment Focus on visual probability models to explore the relationship between theoretical probability, empirical probability and random sampling Development of implementation plans, including anticipated challenges and solutions