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Using Clustering to Assist Understanding of Digital Ink in Low Attention Environments
 

Summary: Using Clustering to Assist Understanding of Digital Ink in
Low Attention Environments
Richard Anderson, Craig
Prince, and Beth Simon
ABSTRACT
In this paper, we describe our work on applying clustering
techniques to digital ink diagrams drawn by students. The
problem arises in a networked classroom where students are using
pen based computers to submit material to the instructor during
lecture. The instructor needs to quickly evaluate student
submissions to gauge the students' understanding of concepts, and
to select student work to show on the public display. In our
classroom experience we have observed that instructors have
significant difficulty in working with the submissions when there
are between 15 to 20 students. In order to reduce the cognitive
load on the instructor, we are investigating techniques for
grouping similar student solutions, to facilitate getting an
overview to the data, and to allow selection of examples that are
representative of different groups.
Categories and Subject Descriptors

  

Source: Anderson, Richard - Department of Computer Science and Engineering, University of Washington at Seattle

 

Collections: Computer Technologies and Information Sciences