Aggregation of student answers in a classroom setting
Name
216881505-MIT.pdf
Description
Full printable version
Size
2.83 MB
Format
Adobe PDF
Checksum (MD5)
7ffb9a7e5e03e30a42995a03c47e5249
Author(s)
Smith, Amanda C
Advisor(s)
Kimberle Koile.
Date Issued
2006
Publisher
Massachusetts Institute of Technology
Abstract
In a typical class, an instructor does not have enough time to poll all students for answers to questions, although it would be the best method for discovering students' misconceptions. The aggregator module of a system called Classroom Learning Partner provides a solution to this problem by collecting answers students wirelessly submit on tablet PCs and placing them in clusters, which then are displayed to the instructor in histogram form. The student answers are compared, via syntactic parsing and similarity measures, to each other and to instructor-provided example answers to form clusters, which represent student misconceptions. In tests, the aggregator module consistently created relevant clusters, very similar to those created by humans working with the same data. Classroom Learning Partner, including the aggregator module, has been deployed successfully in an MIT introductory computer science class.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
Includes bibliographical references (p. 51-52).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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reproduction or distribution in any format is prohibited without written
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