Software and modeling have changed the teaching and learning of ordinary differential equations (ODEs). How can we encourage these innovations to be deployed on a much larger scale, and what innovations are coming to the field? The morning sessions for this workshop will consist of presentations and discussions on current topics in ODEs: current software tools, best practices for incorporating modeling, latest research on teaching, and learning as it relates to ODEs. In the afternoon, participants will share with each other and work on products, such as a new modeling project involving an application of ODEs, new software tools to help students learn ODEs, a design of a new course involving ODEs, best practices on specific aspects of the teaching and learning of ODEs, or an article to be submitted to a journal for publication.
This workshop seeks to foster the growth of a network of educators who are interested in teaching and learning ODEs. Pairs of faculty, who have a history of collaborating on teaching or research, are encouraged to apply.
Primary funding is provided by NSF DUE-0717490. Travel support is available.