Learnersourcing : improving learning with collective learner activity

Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.

Bibliographic Details
Main Author: Kim, Juho, Ph. D. Massachusetts Institute of Technology
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2016
Subjects:
Online Access:http://hdl.handle.net/1721.1/101464
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author Kim, Juho, Ph. D. Massachusetts Institute of Technology
author2 Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
author_facet Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Kim, Juho, Ph. D. Massachusetts Institute of Technology
author_sort Kim, Juho, Ph. D. Massachusetts Institute of Technology
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description Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.
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spelling mit-1721.1/1014642019-04-10T10:50:58Z Learnersourcing : improving learning with collective learner activity Improving learning with collective learner activity Kim, Juho, Ph. D. Massachusetts Institute of Technology 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: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages [199]-213). Millions of learners today are watching videos on online platforms, such as Khan Academy, YouTube, Coursera, and edX, to take courses and master new skills. But existing video interfaces are not designed to support learning, with limited interactivity and lack of information about learners' engagement and content. Making these improvements requires deep semantic information about video that even state-of-the-art AI techniques cannot fully extract. I take a data-driven approach to address this challenge, using large-scale learning interaction data to dynamically improve video content and interfaces. Specifically, this thesis introduces learnersourcing, a form of crowdsourcing in which learners collectively contribute novel content for future learners while engaging in a meaningful learning experience themselves. I present learnersourcing applications designed for massive open online course videos and how-to tutorial videos, where learners' collective activities 1) highlight points of confusion or importance in a video, 2) extract a solution structure from a tutorial, and 3) improve the navigation experience for future learners. This thesis demonstrates how learnersourcing can enable more interactive, collaborative, and data-driven learning. by Juho Kim. Ph. D. 2016-03-03T20:30:11Z 2016-03-03T20:30:11Z 2015 2015 Thesis http://hdl.handle.net/1721.1/101464 940572915 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 213 pages application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Kim, Juho, Ph. D. Massachusetts Institute of Technology
Learnersourcing : improving learning with collective learner activity
title Learnersourcing : improving learning with collective learner activity
title_full Learnersourcing : improving learning with collective learner activity
title_fullStr Learnersourcing : improving learning with collective learner activity
title_full_unstemmed Learnersourcing : improving learning with collective learner activity
title_short Learnersourcing : improving learning with collective learner activity
title_sort learnersourcing improving learning with collective learner activity
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/101464
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