WSEDM 2014
EDM 2014 Extended Proceedings

Proceedings of the Workshops held at Educational Data Mining 2014,
co-located with 7th International Conference on Educational Data Mining (EDM 2014)

London, United Kingdom, July 4-7, 2014.

Edited by

Sergio Gutierrez-Santos *
Olga C. Santos **

* Birkbeck, University of London, United Kingdom
** aDeNu Research Group, UNED, Spain

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

  1. A Binary Integer Programming Model for Global Optimization of Learning Path Discovery
    Nabil Belacel, Guillaume Durand, Francois Laplante
  2. On-Line Plan Recognition in Exploratory Learning Environments
    Reuth Dekel, Kobi Gal
  3. 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
  4. Cross-Domain Performance of Automatic Tutor Modeling Algorithms
    Rohit Kumar
  5. AGG: Augmented Graph Grammars for Complex Heterogeneous Data
    Collin F. Lynch
  6. Graph Mining and Outlier Detection Meet Logic Proof Tutoring
    Karel Vaculík, Leona Nezvalová, Luboš Popelínský
  7. Snag'em: Graph Data Mining for a Social Networking Game
    Veronica Catete, Andrew Hicks, Tiffany Barnes, Collin Lynch
  8. Social Positioning and Performance in MOOCs
    Shuhang Jiang, Sean Fitzhugh, Mark Warschauer
  9. Facilitating Graph Interpretation via Interactive Hierarchical Edges
    Thomas McTavish
  10. Evaluation of Logic Proof Problem Difficulty Through Student Performance Data
    Behrooz Mostafavi, Tiffany Barnes
  11. 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

  1. 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
  2. The Impact of a Personalization Intervention for Mathematics on Learning and Non-Cognitive Factors
    Matthew Bernacki, Candace Walkington
  3. Promoting Growth Mindset Within Intelligent Tutoring Systems
    Korinn S. Ostrow, Sarah E. Schultz, Ivon Arroyo
  4. Toward Adaptive Unsupervised Dialogue Act Classification in Tutoring by Gender and Self-Efficacy
    Aysu Ezen-Can, Kristy Elizabeth Boyer
  5. Mining the Web to Leverage Collective Intelligence and Learn Student Preferences
    Antonio Moretti, José P. González-Brenes, Katherine McKnight
  6. 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

  1. Choosing Sample Size for Knowledge Tracing Models
    Derrick Coetzee
  2. A Unified 5-Dimensional Framework for Student Models
    Yanbo Xu, Jack Mostow
  3. The Sequence of Action Model: Leveraging the Sequence of Attempts and Hints
    Linglong Zhu, Yutao Wang, Neil Heffernan
  4. Using Similarity to the Previous Problem to Improve Bayesian Knowledge Tracing
    William Hawkins, Neil Heffernan
  5. Is this Data for Real?
    Rinat B. Rosenberg-Kima, Zachary A Pardos
  6. The Effect of Variations of Prior on Knowledge Tracing
    Matti Nelimarkka, Madeeha Ghori
  7. A Brief Overview of Metrics for Evaluation of Student Models
    Radek Pelánek
  8. A Comparison of Error Metrics for Learning Model Parameters in Bayesian Knowledge Tracing
    Asif Dhanani, Seung Yeon Lee, Phitchaya Phothilimthana, Zachary Pardos
  9. Prediction of Student Success Using Enrollment Data
    Nihat Cengiz, Arban Uka
  10. Expanding Knowledge Tracing to Prediction of Gaming Behaviors
    Sarah Schultz, Ivon Arroyo
  11. Evaluating Student Models
    Adaeze Nwaigwe

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

  1. Interventions During Student Multimodal Learning Activities: which, and why?
    Beate Grawemeyer, Manolis Mavrikis, Sergio Gutierrez-Santos, Alice Hansen
  2. Multimodal Affect Recognition for Adaptive Intelligent Tutoring Systems
    Ruth Janning, Carlotta Schatten, Lars Schmidt-Thieme
  3. Collaborative Assessment
    Patricia Gutierrez, Nardine Osman, Carles Sierra
  4. Mining for Evidence of Collaborative Learning in Question & Answering Systems
    Johan Loeckx
  5. Creative Feedback: a Manifesto for Social Learning
    Mark d'Inverno, Arthur Still

Download the FFMI 2014 proceedings in a single volume.

2014-06-27: submitted by Sergio Gutierrez-Santos & Olga C. Santos
2014-07-01: published on CEUR-WS.org |valid HTML5|