Using a structured vocabulary to support machine understanding of student work
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2014
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| Online Access: | http://hdl.handle.net/1721.1/85447 |
| _version_ | 1826207701061861376 |
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| author | Maynard, Eryn Doris |
| author2 | Kimberle Koile. |
| author_facet | Kimberle Koile. Maynard, Eryn Doris |
| author_sort | Maynard, Eryn Doris |
| collection | MIT |
| description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013. |
| first_indexed | 2024-09-23T13:53:37Z |
| format | Thesis |
| id | mit-1721.1/85447 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T13:53:37Z |
| publishDate | 2014 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/854472019-04-12T13:37:16Z Using a structured vocabulary to support machine understanding of student work Maynard, Eryn Doris Kimberle Koile. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (pages 66-67). This thesis presents a method for machine interpretation of visual representations, including those that are hand-drawn, created by students solving elementary math problems. This interpretation system extends a pen-based wireless classroom interaction system called Classroom Learning Partner. The key idea behind the interpretation is to employ a structured vocabulary that provides students with tools that give them enough structure to facilitate machine interpretation, but not so much that they cannot be creative in making their own representations. This structured vocabulary consists of images, shapes, tiles, and stamps and enables students to create visual representations that are constructed more easily and quickly than with freehand drawing. A machine can construct an interpretation of the visual representation by finding the relationships between the objects used in the representation, focusing on object type, location, or additional "digital ink" lines that indicate grouping of objects. The interpretation methods were evaluated on examples of student work collected in classroom trials in fourth grade classrooms in the Boston area. The results indicate that the interpretation methods will enable teachers to easily and quickly view student work in real time in a classroom and will provide teachers with information about their students' understanding of concepts underlying the visual representations. by Eryn Doris Maynard. M. Eng. 2014-03-06T15:42:40Z 2014-03-06T15:42:40Z 2013 2013 Thesis http://hdl.handle.net/1721.1/85447 870686169 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 67 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Maynard, Eryn Doris Using a structured vocabulary to support machine understanding of student work |
| title | Using a structured vocabulary to support machine understanding of student work |
| title_full | Using a structured vocabulary to support machine understanding of student work |
| title_fullStr | Using a structured vocabulary to support machine understanding of student work |
| title_full_unstemmed | Using a structured vocabulary to support machine understanding of student work |
| title_short | Using a structured vocabulary to support machine understanding of student work |
| title_sort | using a structured vocabulary to support machine understanding of student work |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/85447 |
| work_keys_str_mv | AT maynarderyndoris usingastructuredvocabularytosupportmachineunderstandingofstudentwork |