Dear colleagues,

Following the posting of the Call for Papers for the abovementioned special 
issue of the Journal of Computer Assisted Learning, several prospective authors 
have enquired as to what constitutes a 'massive' number of learners for the 
purposes of the special issue. While this special issue is intended to be about 
the use of learning analytics with very large numbers (hundreds, thousands or 
tens of thousands) of students, scholars who have conducted or are conducting 
studies with slightly smaller student numbers should not be discouraged from 
submitting proposals – particularly if they are able to show proof of concept 
for larger-scale applications. The editors are especially likely to consider 
studies on learning analytics in immersive simulations, games and virtual 
worlds involving fewer participants, since the use of such environments as part 
of massive courses remains in its infancy. However, it will be necessary for 
the authors to include a detailed discussion of how what is being reported or 
proposed might be scaled to accommodate a 'massive' situation.

The deadline for the submission of proposals (500-word abstracts plus 7-10 key 
references) has now been extended by one week, to 7 October 2013. The deadline 
for submission of full manuscripts remains at 27 January 2014.

The Call for Papers has been updated accordingly:

http://goo.gl/2STf3V .

Kindly share this with others at your institutions and within your networks who 
you think might be interested. Once again, queries should be directed to 
[email protected] , but note that proposals and full manuscripts are 
not to be sent to this address (see the Call for Papers for submission 
instructions).

Kind regards,


Paul A. Kirschner (Open University of the Netherlands), JCAL Editor-in-Chief
Liesbeth Kester (Open University of the Netherlands), JCAL Associate Editor
Mark J. W. Lee (Charles Sturt University), JCAL Editor-in-Charge of Special 
Issues
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