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 [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.

Organizing Committee

Markus Krause, Leibniz University, Germany

Praveen Paritosh, Google, USA

Joseph Jay Williams, Harvard University, USA

Invited Speakers

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