Vol 5 No 1 (2013): Special Issue on Educational Data Mining on Motivation, Meta-cognition, and Self-regulated Learning

View Vol 5 No 1 (2013): Special Issue on Educational Data Mining on Motivation, Meta-cognition, and Self-regulated Learning

Published: 2013-05-01

Articles

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
Abstract 880 | PDF Downloads 741
PDF

Page 9-38

Mining the Dynamics of Student Utility and Strategy Use during Vocabulary Learning

Philip I. Pavlik Jr
Abstract 643 | PDF Downloads 641
PDF

Page 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
Abstract 818 | PDF Downloads 616
PDF

Page 72-103

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
Abstract 1937 | PDF Downloads 1368
PDF

Page 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
Abstract 934 | PDF Downloads 879
PDF

Page 147-189

A Contextualized, Differential Sequence Mining Method to Derive Students' Learning Behavior Patterns

John S. Kinnebrew, Kirk M. Loretz, Gautam Biswas
Abstract 2552 | PDF Downloads 1498
PDF

Page 190-219

Editorial Comment

The Potentials of Educational Data Mining for Researching Metacognition, Motivation and Self-Regulated Learning

Philip H. Winne, Ryan S.J.d. Baker
Abstract 3430 | PDF Downloads 2573
PDF

Page 1-8