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 482 | PDF Downloads 348 | DOI https://doi.org/10.5281/zenodo.3554607
Page 9-38
Mining the Dynamics of Student Utility and Strategy Use during Vocabulary Learning
Abstract 318 | PDF Downloads 241 | 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 502 | PDF Downloads 268 | 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 1288 | PDF Downloads 772 | 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 415 | PDF Downloads 329 | DOI https://doi.org/10.5281/zenodo.3554615
Page 147-189
A Contextualized, Differential Sequence Mining Method to Derive Students' Learning Behavior Patterns
Abstract 1253 | PDF Downloads 881 | 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 1760 | PDF Downloads 1485 | DOI https://doi.org/10.5281/zenodo.3554619
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