Collaborative learning at scale

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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
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2017
Issuance monographic
Language English

Creators/Contributors

Associated with Ronaghi Khameneh, Farnaz
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

Bibliographic information

Statement of responsibility Farnaz Ronaghi Khameneh.
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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