[CITASA] L@S announces keynotes: Koedinger, Sharples, Mitra. (deadline fast approaching Oct 31)

VK
Vitomir Kovanovic
Wed, Oct 28, 2015 1:51 PM

[on behalf of Learning@Scale program committee]

** apologies for cross-posting **

Learning@Scale is proud to host three fantastic keynote speakers this year:

  • Sugar Mitra
    Professor of Educational Technology
    Winner of the 2013 TED Prize
    Newcastle University, UK

  • Mike Sharples
    Chair in Educational Technology
    Institute of Educational Technology
    The Open University, UK

  • Ken Koedinger
    Professor of Human Computer Interaction and Psychology
    Director, Pittsburgh Science of Learning Centre
    Carnegie Mellon University, USA

The conference will be held Edinburgh on April 25-26, 2016. As a
reminder, submission deadline is fast approaching - October 31st.

Learning@Scale focuses on studying learning at scale and how best to
support it. We invite excellent papers that focus on innovation,
technology, and pedagogy at scale. These could be based on big data or
on small-scale studies of phenomena that apply at scale.
See details here:
http://learningatscale.acm.org/las2016/

Best,
Learning@Scale program chairs

  • Vincent Aleven
  • Judy Kay
  • Ido Roll

--
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.

[on behalf of Learning@Scale program committee] ** apologies for cross-posting ** Learning@Scale is proud to host three fantastic keynote speakers this year: - Sugar Mitra Professor of Educational Technology Winner of the 2013 TED Prize Newcastle University, UK - Mike Sharples Chair in Educational Technology Institute of Educational Technology The Open University, UK - Ken Koedinger Professor of Human Computer Interaction and Psychology Director, Pittsburgh Science of Learning Centre Carnegie Mellon University, USA The conference will be held Edinburgh on April 25-26, 2016. As a reminder, submission deadline is fast approaching - October 31st. Learning@Scale focuses on studying learning at scale and how best to support it. We invite excellent papers that focus on innovation, technology, and pedagogy at scale. These could be based on big data or on small-scale studies of phenomena that apply at scale. See details here: http://learningatscale.acm.org/las2016/ Best, Learning@Scale program chairs - Vincent Aleven - Judy Kay - Ido Roll -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.