APOT : automatic path optimizing for traits
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
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| Format: | Thesis |
| Language: | en_US |
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Massachusetts Institute of Technology
2005
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| Online Access: | http://hdl.handle.net/1721.1/28439 |
| _version_ | 1826194986574544896 |
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| author | Lin, Thomas, 1981- |
| author2 | Harold Abelson and Dick K.P. Yue. |
| author_facet | Harold Abelson and Dick K.P. Yue. Lin, Thomas, 1981- |
| author_sort | Lin, Thomas, 1981- |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. |
| first_indexed | 2024-09-23T10:05:16Z |
| format | Thesis |
| id | mit-1721.1/28439 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:05:16Z |
| publishDate | 2005 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/284392019-04-10T14:35:09Z APOT : automatic path optimizing for traits Automatic path optimizing for traits Lin, Thomas, 1981- Harold Abelson and Dick K.P. Yue. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. Includes bibliographical references (p. 77-78). This thesis considers the design of automated tutoring systems that customize teaching material to accommodate individual student learning styles. In particular, we consider the following problem: Begin with one or more presentations of a subject, and break them into fragments ("atoms") each expressing a single idea. Given information about an individual student's learning style, how can one select the optimal choice and sequence of atoms ("path of atoms") to create the most effective presentation for that student? We have implemented several algorithms that automatically create such paths, and we investigate the tradeoff between number of constraints imposed by the algorithms and the number of paths they can find. We have tested one of these algorithms ("partition search") in an experiment where student volunteers in computer science studied material about planning and artificial intelligence. The results of the experiment indicate that the algorithms can produce presentations that are effectively tailored to the different learning styles. by Thomas Lin. M.Eng. 2005-09-26T20:28:37Z 2005-09-26T20:28:37Z 2004 2004 Thesis http://hdl.handle.net/1721.1/28439 57003369 en_US 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 90 p. 5831991 bytes 5842017 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Lin, Thomas, 1981- APOT : automatic path optimizing for traits |
| title | APOT : automatic path optimizing for traits |
| title_full | APOT : automatic path optimizing for traits |
| title_fullStr | APOT : automatic path optimizing for traits |
| title_full_unstemmed | APOT : automatic path optimizing for traits |
| title_short | APOT : automatic path optimizing for traits |
| title_sort | apot automatic path optimizing for traits |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/28439 |
| work_keys_str_mv | AT linthomas1981 apotautomaticpathoptimizingfortraits AT linthomas1981 automaticpathoptimizingfortraits |