Collaborative learning at scale
Abstract/Contents
- Abstract
- We introduce an online learning platform that scales collaborative learning. We study the impact of team formation and the team formation process in massive open online classes. We observe that learners prefers team members with similar location, age range and education level. We also observe that team members in more successful teams have diverse skill sets. We model the team formation process as a cooperative game and prove the existence of stable team allocations. We propose a polynomial-time algorithm that finds a stable team allocation for a certain class of utility functions. We use this algorithm to recommend teams to learners. We show that team recommendations increase the percentage of learners who finish the class.
Description
Type of resource | text |
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Form | electronic; electronic resource; remote |
Extent | 1 online resource. |
Publication date | 2017 |
Issuance | monographic |
Language | English |
Creators/Contributors
Associated with | Ronaghi Khameneh, Farnaz | |
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Associated with | Stanford University, Department of Management Science and Engineering. | |
Primary advisor | Saberi, Amin | |
Thesis advisor | Saberi, Amin | |
Thesis advisor | Goel, Ashish | |
Thesis advisor | Johari, Ramesh, 1976- | |
Advisor | Goel, Ashish | |
Advisor | Johari, Ramesh, 1976- |
Subjects
Genre | Theses |
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Bibliographic information
Statement of responsibility | Farnaz Ronaghi Khameneh. |
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Note | Submitted to the Department of Management Science and Engineering. |
Thesis | Thesis (Ph.D.)--Stanford University, 2017. |
Location | electronic resource |
Access conditions
- Copyright
- © 2017 by Farnaz Ronaghi Khameneh
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