***** To join INSNA, visit http://www.insna.org *****
(apologies for cross-posting)
The Third ACM Conference on Learning at Scale (L@S) invites
contributions to its Work in Progress and Demonstration tracks.
Deadline for both tracks is January 15th, 11:59pm PST. Please see the
website for formatting guidelines:
The Work-in-Progress (WiP) track showcases recent findings or other
types of innovative or thought-provoking work. Accepted WiP papers will
be presented in the form of a poster at the session.
The Demonstrations track show aspects of learning at scale in an
interactive hands-on form. A live demonstration is a great opportunity
to communicate ideas and concepts in a powerful way that a regular
Learning at Scale is at the intersection of computer science and the
learning sciences, seeking to improve practice and theories of learning
at scale. Work presented at Learning at Scale reports on rigorous
research on methodologies, studies, analyses, tools, or technologies for
learning at scale. Learning at Scale includes MOOCs, games (including
massively multiplayer online games), citizen science communities, and
other types of learning environments which (a) provide learning
experiences to large number of learners and/or (b) produce detailed,
high volume data about the learning process.
Please see the website for a list of accepted full papers:
The keynotes in Learning at Scale 2016, which will take place in
Edinburgh, are Sugata Mitra, Mike Sharples, and Ken Koedinger.
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.insna.org). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.