Tuesday, July 10, 2012

Beyond "Rise over Run"


ICME-12 Workshop and sharing group on slope and linear functions

Michael Matassa and I were honored to conduct a workshop and sharing group at the ICME-12 conference in Seoul, South Korea on July 11, 2012.  During the workshop, participants explored tasks that Michael and I created during a design experiment focused on helping students develop a robust understanding of slope and linear functions.

We are happy to make our presentation, paper, and complete unit available for download.  We welcome your feedback (via email or in comments), and we hope that you use and adapt the activities with your students!

Abstract:
Student understanding of slope and rate of change is often formulaic and underdeveloped. This presents problems for students in secondary and post-secondary mathematics where slope and rate of change are key foundational concepts. To study how students develop robust understandings of slope and rate of change, we conducted a design experiment in a U.S. high school Algebra I classroom that focused on developing versatile and adaptable knowledge of slope using rate of change as a foundational concept for slope. In this workshop, participants will contribute to an international perspective on the teaching of slope, engage in key activities that were used in the design experiment, and explore student work generated from these activities.

Resources:




Sunday, September 25, 2011

RME 2011 presentation and resources

At the RME 3 conference, we gave a presentation on a quadratic functions unit that we designed using principles of RME.

Title: "Length times width equals area" and "Line times line equals parabola": Incorporating two RME models into a cohesive learning trajectory for quadratic functions.

Abstract: RME researchers have discussed two alternatives to the projectile motion model for
quadratic functions: (1) “line times line equals parabola” (Kooij, 2000), and (2) the area
model (Drijvers et al., 2010). Our learning trajectory incorporates and connects these
models in a cohesive unit that begins with a motivating contextual problem, guides students
to construct both of the above models, and concludes with formal algebraic representations.
We have used this unit for the past two years in our Algebra I courses. During this time, we
have collected a body of evidence that supports the approach: 1) Assessment results
suggest that students learn quadratic functions at or above the level expected in a typical
algebra course; 2) Student work suggests that learning multiple models leads to deeper
understanding and flexible problem solving; 3) Student feedback suggests that the models
help students solve problems and understand formal mathematics. Participants will receive
our complete unit in electronic form. Furthermore, we will discuss our lessons learned, and
avenues for extensions and future research.

Resources: