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 414 | PDF Downloads 296 | DOI https://doi.org/10.5281/zenodo.3554607
Page 9-38
Mining the Dynamics of Student Utility and Strategy Use during Vocabulary Learning
Abstract 260 | PDF Downloads 172 | 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 452 | PDF Downloads 212 | 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 1061 | PDF Downloads 646 | 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 329 | PDF Downloads 255 | DOI https://doi.org/10.5281/zenodo.3554615
Page 147-189
A Contextualized, Differential Sequence Mining Method to Derive Students' Learning Behavior Patterns
Abstract 1072 | PDF Downloads 761 | 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 1158 | PDF Downloads 1182 | DOI https://doi.org/10.5281/zenodo.3554619
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