Interpretation and clustering of handwritten student responses
Author(s)Von Tish, Kelsey Leigh
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
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This thesis presents an interpretation and clustering framework for handwritten student responses on tablet computers. The ink analysis system is able to capture and interpret digital ink strokes for many types of classroom exercises, including graphs, number lines, and fraction shading problems. By approaching the problem with both online and offline ink interpretation methods, relevant information is extracted from sets of ink strokes to produce a representation of a student's answer. A clustering algorithm is then used to group similar student responses. Overall, this approach makes it easier for teachers to view a set of responses and subsequently supply feedback to his or her students.
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.Cataloged from PDF version of thesis.Includes bibliographical references (p. 81-82).
DepartmentMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology
Electrical Engineering and Computer Science.