CAREER: L-MAP: Pre-service Middle School Teachers' Knowledge of Mathematical Argumentation and Proving
![](/sites/default/files/styles/thumbnail/public/Magiera_2016DRK-12%20PI%20Meeting%20Poster_0.png?itok=KbE95KWN)
Join two projects to discuss the challenges and opportunities afforded through online environments for providing professional development and supporting classroom implementation of mathematical practices.
Teams of researchers from Drexel University, Rutgers University, University of Missouri, and the Math Forum have been investigating online environments for math education and math teacher professional learning communities. The Virtual Math Teams project has developed a synchronous, multi-user GeoGebra implementation and studies the learning of small groups as well as the preparation of teachers to facilitate this learning.
Discuss the potential utility of CODAP and other open source tools in your work, effective cross-project partnerships, and supporting developer communities around open source materials.
Goal: Participants will explore the spectrum of “working together” from collaboration to community. Alongside participant examples, CODAP will be used as a model to explore the range of possibilities.
Objectives: That participants
Discuss these questions: What are the advantages and challenges of working across institutions—formal and informal—for teacher pre-service and in-service development, especially in science? What are current models, approaches, and findings?
Engage with presenters as they discuss assessment and rubrics designed to measure secondary teachers’ mathematical habits of mind.
Work in secondary mathematics education takes many approaches to content, pedagogy, professional development and assessment. This session aims to illuminate the richness of hte content of secondary mathematics and the field of secondary mathematics education by sharing two such approaches and reflecting on the differences and commonalities between the two.
Join a facilitated discussion about the application of data science to education, drawing on a recent NSF-sponsored report. Participants share insights from DR K–12 projects.
The Computing Research Association’s report from an NSF-sponsored workshop describes seven next steps for data-intensive research in education: