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
Abstract 495 | PDF Downloads 353 | DOI https://doi.org/10.5281/zenodo.3554607
Page 9-38
Mining the Dynamics of Student Utility and Strategy Use during Vocabulary Learning
Abstract 328 | PDF Downloads 247 | DOI https://doi.org/10.5281/zenodo.3554609
Page 39-71
Mining Data From Interactions With a Motivational-Aware Tutoring System Using Data Visualization
Abstract 511 | PDF Downloads 270 | DOI https://doi.org/10.5281/zenodo.3554611
Page 72-103
Clustering and Profiling Students According to their Interactions with an Intelligent Tutoring System Fostering Self-Regulated Learning
Abstract 1307 | PDF Downloads 802 | DOI https://doi.org/10.5281/zenodo.3554613
Page 104-146
Operation ARIES!: Methods, Mystery, and Mixed Models: Discourse Features Predict Affect in a Serious Game
Abstract 435 | PDF Downloads 346 | DOI https://doi.org/10.5281/zenodo.3554615
Page 147-189
A Contextualized, Differential Sequence Mining Method to Derive Students' Learning Behavior Patterns
Abstract 1278 | PDF Downloads 896 | DOI https://doi.org/10.5281/zenodo.3554617
Page 190-219
Editorial Comment
The Potentials of Educational Data Mining for Researching Metacognition, Motivation and Self-Regulated Learning
Abstract 1849 | PDF Downloads 1528 | DOI https://doi.org/10.5281/zenodo.3554619
Page 1-8