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NetStat: A representation and communication infrastructure for classroom collaboration in data modeling and statistics

NetStat: A representation and communication infrastructure for classroom collaboration in data modeling and statistics. This project aims to enhance collaborative and participatory learning in classrooms, an important and enduring theme across both research and practice. Classroom groups come together to build and explore the properties of mathematical objects that they create collectively. NetStat builds on successes in prior research that have connected social structures to disciplinary structures and disciplinary ways of thinking. It addresses a key limitation of this prior work, which has been bound to technology platforms that were not “open,” either in the sense of being proprietary, or in the sense of being bound too narrowly to a single purpose or set of representational technologies. Capitalizing on trends in software design and development, it will prove out a high-risk/high-reward new approach for creating collaborative learning environments and activities. Much of the work in this project will involve designing and iteratively refining networked software and activities.

Grantor: NSF EAGER

Expected completion date: 9/15/18

Project or Grant: Grant
Date Span: September 16, 2016 to September 15, 2018
Principal Investigators: Corey Brady
Academic Department: Teaching and Learning