Vol 5, No 1 (2013)

Special Issue on Educational Data Mining on Motivation, Meta-cognition, and Self-regulated Learning

Table of Contents

Articles

The Potentials of Educational Data Mining for Researching Metacognition, Motivation and Self-Regulated Learning
Philip H. Winne, Ryan S.J.d. Baker
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1-8
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
PDF
9-38
Mining the Dynamics of Student Utility and Strategy Use during Vocabulary Learning
Philip I Pavlik Jr
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39-71
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
PDF
72-103
Clustering and Profiling Students According to their Interactions with an Intelligent Tutoring System Fostering Self-Regulated Learning
, Jason M. Harley, Gregory J. Trevors, Roger Azevedo
PDF
104-146
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
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147-189
A Contextualized, Differential Sequence Mining Method to Derive Students' Learning Behavior Patterns
John S. Kinnebrew, Kirk M. Loretz, Gautam Biswas
PDF
190-219