The online education and crowdsourcing communities are addressing similar problems in educating, motivating and evaluating students and workers. The online learning community succeeds in increasing the supply side of the cognitively skilled labor market, and the crowdsourcing at scale community creates a larger marketplace for cognitively skilled work.
Linking online platforms for crowd work with platforms for MOOCs has the potential to: provide knowledge and training at a massive scale to contributors; collect data that identify expert skills; engage contributors in simultaneously working and learning in a social environment; and organize large communities around online courses on specific topics. These all provide new opportunities to support and deploy sophisticated algorithms for crowd learning and work.
How to Join
If you want to join this workshop, please email us at worklearn-org[email protected] with a brief description of your interest and background, and we will get back to you by 01/10/2014
Call for Participation
WorkLearn 2014 is a full-day workshop at HCOMP 2014 which will bring together researchers and practitioners from crowdsourcing and online education communities to explore connections between learning and working online. We want to spark knowledge sharing and discussions on topics such as: integrating online learning platforms and online work platforms; solving shared problems like training and evaluation of both students and high-skill crowd workers; how crowdsourcing methodologies can be used to scale the labor-intensive components of education.
The workshop is focusing on:
- Challenges and demands of industry
- What skills do we need to train (crowd and online) workers for?
- What can crowdsourcing do for learning at scale?
- Platforms and software to connect online work and learning
- How can a platform for online learning be linked to a platform for crowd work in a way that creates a more skilled workforce and better crowd work?
- Visionary concepts on the future of online work and learning.
Markus Krause, Leibniz University, Germany
Praveen Paritosh, Google, USA
Joseph Jay Williams, Harvard University, USA
Kenneth R. Koedinger, Carnegie Mellon University
Neil Heffernan, Worcester Polytechnic Institute
Nathan Maton, Khan Academy
Michael Bernstein, Stanford University
Lena Mamykina, Columbia University
Severin Hacker, Duolingo
Jeffrey P. Bigham, Carnegie Mellon University
Eric Horvitz, Microsoft, USA
Ed Chi, Google, USA
Julia Wilkowski, Google, USA
Panos Ipeirotis, Google and New York University, USA
David Karger, MIT, USA
Piotr Mitros, EdX, USA
Neil Heffernan, Worcester Polytechnic Institute, USA
Joern Loviscach, University of Applied Sciences Bielefeld, Germany
Steven P. Dow, CMU, USA