2026-09-20T08:55:21Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/914532026-06-06T00:54:50Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
David R. Karger.
Alsharaiha, Eyas
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2014-11-04T21:37:47Z
2014-11-04T21:37:47Z
2014
2014
http://hdl.handle.net/1721.1/91453
893859156
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.
30
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 63-65).
We identify a number of metrics that attempt to recognize collaborative discussion in online annotation tools and class forums. We hypothesize that posts and questions that lead to collaborative discussion are likely to achieve the same effect if posed again. To study the effects of comment reuse, we build content curation tools that allow content that appears to stimulate collaborative discussion to be promoted or reused from previous class offerings. NB, a social annotation and discussion platform, is extended to provide such tools for annotation reuse, content promotion and curation, and content analysis based on certain metrics as potential indicators of comment quality. Related work by research partners shows encouraging results regarding the reliability of our metrics. We assess these tools through instructor interviews and user studies, establishing their usability. This work opens the door for future work on sustainably interactive and engaging learning.
by Eyas Alsharaiha.
M.Eng.
65 pages
eng
Massachusetts Institute of Technology
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
Electrical Engineering and Computer Science.
Enhancing the classroom experience with faculty curated discussions
Thesis
application/pdf
Publication
unknown
unknown
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<Abstract>We identify a number of metrics that attempt to recognize collaborative discussion in online annotation tools and class forums. We hypothesize that posts and questions that lead to collaborative discussion are likely to achieve the same effect if posed again. To study the effects of comment reuse, we build content curation tools that allow content that appears to stimulate collaborative discussion to be promoted or reused from previous class offerings. NB, a social annotation and discussion platform, is extended to provide such tools for annotation reuse, content promotion and curation, and content analysis based on certain metrics as potential indicators of comment quality. Related work by research partners shows encouraging results regarding the reliability of our metrics. We assess these tools through instructor interviews and user studies, establishing their usability. This work opens the door for future work on sustainably interactive and engaging learning.</Abstract>
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