You'll ANALYZE and IMPLEMENT existing crowdsourcing / social computing systems and techniques on your own.
There will be a set of assignments that will be announced as the course progresses, in which you'll:
Hand-on exercises and implementations are a fun and effective way to learn.
We'll create an assignment in KLMS for each assignment.
You'll lose 10% for each late day. Submissions will be accepted until three days after the deadline. After then you'll get 0 on that assignment.
In this assignment, you'll experience what it's like to be a crowd worker. In class, we walked through the MTurk user interface, both as a worker and as a requester, and discussed its strengths and limitations. Now it's your turn to pick a crowdsourcing platform of your choice (sorry, MTurk doesn't count!) and be a worker yourself. We'll focus on voluntary crowdsourcing platforms, which are quite different from platforms offering monetary reward in many ways.Pick one of the following platforms:
In your report, please reflect on your experience by answering the following questions:
In this assignment, you'll analyze THREE existing crowdsourcing platforms, using the dimensions we collectively identified by learnersourcing.
Here are some notes:
In your report, please analyze each platform by answering the following questions:
Create a PDF version of your report, and submit on KLMS