JEDM 2012 - JEDM SPECIAL ISSUE: "EDUCATIONAL DATA MINING ON MOTIVATION, META-COGNITION, AND SELF-REGULATED LEARNING"

EDUCATIONAL DATA MINING ON
MOTIVATION, META-COGNITION, AND SELF-REGULATED LEARNING

Guest Editors
Ryan S.J.d. Baker, Worcester Polytechnic Institute (rsbaker-AT-wpi.edu)
Philip H. Winne, Simon Fraser University (winne-AT-sfu.ca)

Aim of Special Issue

We invite paper submissions for a special issue of the peer-reviewed
Journal of Educational Data Mining that focuses on using educational
data mining methods to advance basic and applied research on the
nature and roles of motivation, meta-cognition, and self-regulated
learning (SRL) in learning sciences. Increasingly, it is acknowledged
that SRL processes interact in key fashions with motivational and
meta-cognitive processes. We seek papers that use EDM to explore these
interactions, as well as papers that explore any of these three areas
in isolation or in relation to other important processes and
constructs.

Papers should apply accepted or novel educational data mining methods
in rigorous, demonstrably valid ways to study these topics. We are
interested to assemble a collection of articles that explore how new
methods for measurement and analysis that EDM affords enable new
discoveries in these areas. Because an important goal of this special
issue is to educate researchers who are not familiar with the power
and benefits of data mining, papers should be written in a style that
is simultaneously meaningful to experts in data mining, and
educational for those who are entirely new to these methods. Data can
be drawn from any educational source (e.g. interaction logs,
questionnaire instruments, field observations, video or text replays,
collaborative chats, discussion forums) so long as it supports valid
inference; simulated data is not admissible for this special issue.
All papers must make a contribution to research in the domain studied
and must give full detail on the educational data mining methods used
to derive these contributions; it is not necessary, however, that a
paper make innovations in educational data mining methods although
these are, of course, welcome (so long as they are valid).

Review Process
As stipulated by JEDM reviewing guidelines, each submission will be
peer-reviewed by three colleagues in the field, including both members
of the JEDM editorial board plus reviewers chosen specifically for
this issue.

Submission Guidelines

We invite submissions of any length; see the JEDM submission
guidelines. All submissions can be made electronically via email to
Ryan S.J.d. Baker (rsbaker-AT-wpi.edu).

Deadlines

Please submit your manuscript by December 1, 2011. We plan a review
cycle of approximately three months so that you should receive
feedback and a decision by approximately March 1, 2012.

Please direct questions to the guest editors at rsbaker-AT-wpi.edu and
winne-AT-sfu.ca.