[edm-announce] JEDM Special Issue on Motivation, Meta-cognition, and Self-regulated Learning Published!
- From: "Ryan S.J.d. Baker" <ryan@xxxxxxxxxxxxxxxxxxxxxxxxx>
- To: edm-announce@xxxxxxxxxxxxx
- Date: Thu, 13 Jun 2013 06:43:08 -0400
We are pleased to announce the publication of
Journal of Educational Data Mining
Special Issue on Motivation, Meta-cognition, and Self-regulated Learning
Volume 5, Issue 1
http://www.educationaldatamining.org/JEDM/index.php?option=com_content&view=category&layout=blog&id=54&Itemid=81
Including the following articles, all permanently freely available
online to anyone in the world:
Considering Alternate Futures to Classify Off-Task Behavior as Emotion
Self-Regulation: A Supervised Learning Approach
Jennifer L. Sabourin, Jonathan P. Rowe, Bradford W. Mott, & James C. Lester
http://www.educationaldatamining.org/JEDM/images/articles/vol5/issue1/SabourinEtAlVol5Issue1P9_38.pdf
Mining the Dynamics of Student Utility and Strategy Use during
Vocabulary Learning
Philip I. Pavlik Jr.
http://www.educationaldatamining.org/JEDM/images/articles/vol5/issue1/PavlikVol5Issue1P39_71.pdf
Mining Data From Interactions With a Motivational-aware Tutoring
System Using Data Visualization
Genaro Rebolledo-Mendez, Benedict Du Boulay, Rosemary Luckin, & Edgard
Ivan Benitez-Guerrero
http://www.educationaldatamining.org/JEDM/images/articles/vol5/issue1/Rebolledo_MendezEtAlVol5Issue1P72_103.pdf
Clustering and Profiling Students According to their Interactions with
an Intelligent Tutoring System Fostering Self-Regulated Learning
François Bouchet, Jason M. Harley, Gregory J. Trevors, & Roger Azevedo
http://www.educationaldatamining.org/JEDM/images/articles/vol5/issue1/BouchetEtAlVol5Issue1P104_146.pdf
Operation ARIES!: Methods, Mystery, and Mixed Models: Discourse
Features Predict Affect in a Serious Game
Carol M. Forsyth, Arthur C. Graesser, Philip Pavlik Jr., Zhiqiang Cai,
Heather Butler, Diane Halpern, & Keith Millis
http://www.educationaldatamining.org/JEDM/images/articles/vol5/issue1/ForsythEtAlVol5Issue1P147_189.pdf
A Contextualized, Di fferential Sequence Mining Method to Derive
Students' Learning Behavior Patterns
John Kinnebrew, Kirk M. Loretz, & Gautam Biswas
http://www.educationaldatamining.org/JEDM/images/articles/vol5/issue1/KinnebrewEtAlVol5Issue1P190_219.pdf
The Potentials of Educational Data Mining for Researching
Metacognition, Motivation and Self-Regulated Learning
Philip H. Winne & Ryan S.J.d. Baker
http://www.educationaldatamining.org/JEDM/images/articles/vol5/issue1/IntroVol5Issue1P1_8.pdf
For more information on the journal, see
http://www.educationaldatamining.org/JEDM/
Sincerely,
Special Issue Editors Ryan S.J.d. Baker and Philip H. Winne
On Behalf of JEDM Editor Kalina Yacef
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