1. Jie Chao
  2. https://sites.google.com/concord.org/jiechao
  3. Learning Scientist
  5. Concord Consortium, Clarkson University, 33Sigma Learning Labs
  1. Benjamin Galluzzo
  2. https://www.clarkson.edu/people/benjamin-galluzzo
  3. Associate Professor
  5. Clarkson University
  1. Eric Simoneau
  2. Founder & CEO
  4. 33Sigma Learning Labs
  1. Kenia Wiedemann
  2. https://concord.org/about/staff/kenia-wiedemann/
  3. Research Associate
  5. Concord Consortium

Computing with R for Mathematical Modeling

NSF Awards: 1742083

2019 (see original presentation & discussion)

Grades 9-12, Undergraduate

Integrating mathematics learning with computing holds potential for success. Computing builds upon many mathematical concepts and leverages mathematical thinking skills. Conversely, math achievement is linked with computational thinking skills. In particular, prior applications of programming languages such as R in math education have demonstrated a great degree of promise.

Yet significant barriers still prevent broad integration of these complex topics into math classrooms. Mathematics and computing are both highly complex and challenging domains on their own, and developing expertise in either is not easy. Combining the two successfully is more complex than simply providing joint resources. Instruction around such integration needs to juggle students’ cognitive load and sequence their learning. Any environment proposing to support integrated learning of these topics must leverage visual, dynamic representations to support mathematical conceptual development while providing extensive supports for novice programmers. We will develop code-editing, console-based control, coding history, interactive representations of mathematical outputs; scaffolding students during learning process; and integrating all of it together via a sequenced instructional approach that teachers can implement easily.

Computing with R for Mathematical Modeling (or CodeR4MATH) will provide a robust path for integrating math and computing learning. We will support students in integrated learning of the complex domains of math and computing, employing a coupled learning path that interweaves the two disciplines to generate mutual reinforcement. Leveraging R’s open-source ecosystem and STATS4STEM’s foundation, we will develop and deploy a learning platform integrating R computing resources, curriculum materials, automated assessment and tutoring, and teacher professional development resources.

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