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Title:Sharing economy-based on-demand peer-to-peer tutoring and resource sharing
Author(s):Kulkarni, Chinmay Sanjay
Advisor(s):Sundaram, Hari
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):Sharing Economy
Incentive Models
Game Theory
Stable Matching
Machine Learning
Data Mining
Social Network Analysis
Abstract:The sharing economy is a socio-economic ecosystem built around the sharing of human and physical resources. This is considered to be a new and alternate socio-economic system which is currently in its early stages and has tremendous potential. The sharing economy combines the need to direct demand towards supply by adding the point of view of collaboration based on the social networks and preferences of various entities involved. This is based on the economic model of Collaborative Consumption in which participants share access to resources rather than having individual ownership over them. We propose the novel idea of a sharing economy-based model for knowledge sharing amongst peers in a classroom setting. Students often find themselves stuck on trivial implementation details like syntax, best practices and which tools to use. Many times, help is difficult to find, even though the solution might be known to one of the student's peers. Moreover, many large classes do not have enough teaching assistants to help out students and the use of such a platform can be useful to offload simple questions within the classroom itself, saving office hours for more complex questions. This, coupled with the benefits of a collaborative learning environment for students, has motivated us towards the development of an on-demand peer-to-peer tutoring and knowledge sharing platform. Such a platform can also help us understand how different incentive mechanisms motivate people to share knowledge: Are people motivated by social reputation or money? We develop an Android application called "Quet" which can be used by students to request help from their peers for questions related to their coursework on-demand. Preliminary observations show that an application like Quet is useful; and we wish to deploy this in multiple courses in subsequent semesters to realize its full potential and utility to students and instructors alike.
Issue Date:2016-07-15
Type:Thesis
URI:http://hdl.handle.net/2142/92958
Rights Information:Copyright 2016 Chinmay Kulkarni
Date Available in IDEALS:2016-11-10
Date Deposited:2016-08


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