Reminder: The
abstract
submission
deadline is April
3, 2023.
Call for
Papers
The
IEEE Learning with
MOOCS conference
provides academic,
government, and industry
professionals the
opportunity to discuss
research related to MOOCs
as well as the practical
aspects of creating and
offering MOOCs to diverse
worldwide audiences.
Now in its ninth edition,
LWMOOCs is a respected
international forum to
collaborate, network,
learn, and share the
latest advances in MOOCs.
This edition will return
to the MIT campus, the
home of the first LWMOOCs
event in 2014. The aim is
to reinvigorate and expand
the topics discussed at
the conference to include
blended learning and other
open online courses.
This year,
authors will be asked to
select their preferred
format to present their
work: paper (short talk
at the event), poster at
the event, or no
preference when your
abstract is submitted.
We will use these
selections to inform our
development of the
program.
Papers will be selected
through a peer-review
process and published in
the conference
proceedings. Poster
presentations do not
require a paper and will
not be published in the
proceedings.
-
Topics of Interest -
We call
for submissions from a
variety of disciplines and
topics. We encourage
submissions that build on
the theme of enhancing the
definition of the success
of a MOOC project or
blended learning.
Example
topics, though not limited
to this list, include:
»
The role
of open online courses in
the higher
education/professional
development landscape »
Expanding
the learner community »
Social
implications of open online
courses »
Inclusive
and accessible design in
online courses »
Open
content, open licensing, and
open delivery »
International
cooperation in MOOC or
blended learning projects » Using open
online learning in employee
training » Scaffolding
courses and planning curricula »
Learner
perspectives and impact
»
Free or
low-cost online degree
programs »
Learning
analytics »
Learning
science and educational
research models »
Applying the
learning sciences in online
course design »
Machine
learning and AI applications
in online learning design or
delivery »
Successful
implementations of virtual
reality and augmented
reality in open online
learning »
Applications
of technology and
opportunities to improve the
open online landscape » Assessment of
learning at scale