2014 for the individual papers
by the papers' authors. Copying permitted only for private and academic purposes.
This volume is published and copyrighted by its editors.
EDM 2014 Extended Proceedings
Proceedings of the Workshops held at Educational Data Mining 2014,
co-located with 7th International Conference on Educational Data Mining
London, United Kingdom, July 4-7, 2014.
* Birkbeck, University of London, United Kingdom
** aDeNu Research Group, UNED, Spain
2014-06-27: submitted by Sergio Gutierrez-Santos & Olga C. Santos
Table of Contents
Download the EDM 2014 Extended Proceedings in a single volume.
G-EDM 2014: Workshop on Graph-based Educational Data Mining
organized by Collin F. Lynch, Tiffany Barnes
A Binary Integer Programming Model for Global Optimization of Learning Path Discovery
Nabil Belacel, Guillaume Durand, Francois Laplante
On-Line Plan Recognition in Exploratory Learning Environments
Reuth Dekel, Kobi Gal
What is the Source of Social Capital? The Association between Social Network Position and Social Presence in Communities of Inquiry
Vitomir Kovanovic, Srecko Joksimovic, Dragan Gasevic, Marek Hatala
Cross-Domain Performance of Automatic Tutor Modeling Algorithms
AGG: Augmented Graph Grammars for Complex Heterogeneous Data
Collin F. Lynch
Graph Mining and Outlier Detection Meet Logic Proof Tutoring
Karel Vaculík, Leona Nezvalová, Luboš Popelínský
Snag'em: Graph Data Mining for a Social Networking Game
Veronica Catete, Andrew Hicks, Tiffany Barnes, Collin Lynch
Social Positioning and Performance in MOOCs
Shuhang Jiang, Sean Fitzhugh, Mark Warschauer
Facilitating Graph Interpretation via Interactive Hierarchical Edges
Evaluation of Logic Proof Problem Difficulty Through Student Performance Data
Behrooz Mostafavi, Tiffany Barnes
InVis: An EDM Tool For Graphical Rendering And Analysis Of Student Interaction Data
Vinay Sheshadri, Collin Lynch, Tiffany Barnes
Papers 1 to 6 are full papers. Papers 7 to 11 are short papers, posters or demos.
Download the G-EDM 2014 proceedings in a single volume.
NCFPAL 2014: Workshop on Non-Cognitive Factors & Personalization for Adaptive Learning
organized by Steven Ritter, Stephen E. Fancsali
The Impact of Cognitive and Non-Cognitive Text-Based Factors on Solving Mathematics Story Problems
Candace Walkington, Virginia Clinton, Steven Ritter, Mitchell Nathan, Stephen E. Fancsali
The Impact of a Personalization Intervention for Mathematics on Learning and Non-Cognitive Factors
Matthew Bernacki, Candace Walkington
Promoting Growth Mindset Within Intelligent Tutoring Systems
Korinn S. Ostrow, Sarah E. Schultz, Ivon Arroyo
Toward Adaptive Unsupervised Dialogue Act Classification in Tutoring by Gender and Self-Efficacy
Aysu Ezen-Can, Kristy Elizabeth Boyer
Mining the Web to Leverage Collective Intelligence and Learn Student Preferences
Antonio Moretti, José P. González-Brenes, Katherine McKnight
Non-cognitive Factors of Learning as Predictors of Academic Performance in Tertiary Education
Geraldine Gray, Colm McGuinness, Philip Owende
Download the NCFPAL 2014 proceedings in a single volume.
BKT20y 2014: Workshop Approaching Twenty Years of Knowledge Tracing
organized by Michael Yudelson, José P. González-Brenes, Michael Mozer
Choosing Sample Size for Knowledge Tracing Models
A Unified 5-Dimensional Framework for Student Models
Yanbo Xu, Jack Mostow
The Sequence of Action Model: Leveraging the Sequence of Attempts and Hints
Linglong Zhu, Yutao Wang, Neil Heffernan
Using Similarity to the Previous Problem to Improve Bayesian Knowledge Tracing
William Hawkins, Neil Heffernan
Is this Data for Real?
Rinat B. Rosenberg-Kima, Zachary A Pardos
The Effect of Variations of Prior on Knowledge Tracing
Matti Nelimarkka, Madeeha Ghori
A Brief Overview of Metrics for Evaluation of Student Models
A Comparison of Error Metrics for Learning Model Parameters in Bayesian Knowledge Tracing
Asif Dhanani, Seung Yeon Lee, Phitchaya Phothilimthana, Zachary Pardos
Prediction of Student Success Using Enrollment Data
Nihat Cengiz, Arban Uka
Expanding Knowledge Tracing to Prediction of Gaming Behaviors
Sarah Schultz, Ivon Arroyo
Evaluating Student Models
Papers 1 to 6 are full papers. Papers 7 to 11 are posters.
Additionally, the workshop includes the full talk "EEG Helps Knowledge Tracing!" based on the following paper:
Xu, Y., K.-M. Chang, Y. Yuan, and J. Mostow. EEG Helps Knowledge Tracing!. In Proceedings of the ITS2014 Workshop on Utilizing EEG Input in Intelligent Tutoring Systems. 2014: Honolulu, p. 43-48.
Download the BKT20Y 2014 proceedings in a single volume.
FFMI 2014: Workshop on Feedback from Multimodal Interactions in Learning Management Systems
organized by Lars Schmidt-Thieme, Ruth Janning
Interventions During Student Multimodal Learning Activities: which, and why?
Beate Grawemeyer, Manolis Mavrikis, Sergio Gutierrez-Santos, Alice Hansen
Multimodal Affect Recognition for Adaptive Intelligent Tutoring Systems
Ruth Janning, Carlotta Schatten, Lars Schmidt-Thieme
Patricia Gutierrez, Nardine Osman, Carles Sierra
Mining for Evidence of Collaborative Learning in Question & Answering Systems
Creative Feedback: a Manifesto for Social Learning
Mark d'Inverno, Arthur Still
Download the FFMI 2014 proceedings in a single volume.
2014-07-01: published on CEUR-WS.org