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PERC 2011 Abstract Detail Page

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Abstract Title: A scalable system for teaching graphs.
Abstract: The ability to work with graphs is a necessary skill in all of the sciences, yet students still struggle with it.  Previous graph-related problems in LON-CAPA required students to pick the correct graph from a set of graphs or infer data from a given graph.  A new problem type has been developed in LON-CAPA that allows students to input (draw) graphs for themselves, in response to a given textual (or formulaic) description.  These graphs are then checked by the server, which determines whether or not the student submitted graph is correct or incorrect.  A study is underway to test the effectiveness of this approach.
Abstract Type: Contributed Poster

Author/Organizer Information

Primary Contact: James Laverty
Michigan State University
1820 Hamilton Rd
Apt. G11
Okemos, MI 48864