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ORCID7th EDM 2014: London, UK - Workshops
- Sergio Gutiérrez Santos, Olga C. Santos:
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. CEUR Workshop Proceedings 1183, CEUR-WS.org 2014
G-EDM 2014: Workshop on Graph-based Educational Data Mining
- Nabil Belacel, Guillaume Durand, François LaPlante:
A Binary Integer Programming Model for Global Optimization of Learning Path Discovery. - Reuth Dekel, Kobi Gal:
On-Line Plan Recognition in Exploratory Learning Environments. - Vitomir Kovanovic, Srecko Joksimovic, Dragan Gasevic, Marek Hatala:
What is the Source of Social Capital? The Association between Social Network Position and Social Presence in Communities of Inquiry. - Rohit Kumar:
Cross-Domain Performance of Automatic Tutor Modeling Algorithms. - Collin F. Lynch:
AGG: Augmented Graph Grammars for Complex Heterogeneous Data. - Karel Vaculík, Leona Nezvalová, Lubos Popelínský:
Graph Mining and Outlier Detection Meet Logic Proof Tutoring. - Veronica Cateté, Andrew Hicks, Tiffany Barnes, Collin F. Lynch:
Snag'em: Graph Data Mining for a Social Networking Game. - Shuhang Jiang, Sean M. Fitzhugh, Mark Warschauer:
Social Positioning and Performance in MOOCs. - Thomas S. McTavish:
Facilitating Graph Interpretation via Interactive Hierarchical Edges. - Behrooz Mostafavi, Tiffany Barnes:
Evaluation of Logic Proof Problem Difficulty Through Student Performance Data. - Vinay Sheshadri, Collin F. Lynch, Tiffany Barnes:
InVis: An EDM Tool For Graphical Rendering And Analysis Of Student Interaction Data.
NCFPAL 2014: Workshop on Non-Cognitive Factors & Personalization for Adaptive Learning
- Candace A. Walkington, Virginia Clinton, Steven Ritter, Mitchell J. Nathan, Stephen E. Fancsali:
The Impact of Cognitive and Non-Cognitive Text-Based Factors on Solving Mathematics Story Problems. - Matthew L. Bernacki, Candace A. Walkington:
The Impact of a Personalization Intervention for Mathematics on Learning and Non-Cognitive Factors. - Korinn S. Ostrow, Sarah E. Schultz, Ivon Arroyo:
Promoting Growth Mindset Within Intelligent Tutoring Systems. - Aysu Ezen-Can, Kristy Elizabeth Boyer:
Toward Adaptive Unsupervised Dialogue Act Classification in Tutoring by Gender and Self-Efficacy. - Antonio Moretti, José P. González-Brenes, Katherine McKnight:
Mining the Web to Leverage Collective Intelligence and Learn Student Preferences. - Geraldine Gray, Colm McGuinness, Philip Owende:
Non-cognitive Factors of Learning as Predictors of Academic Performance in Tertiary Education.
BKT20y 2014: Workshop Approaching Twenty Years of Knowledge Tracing
- Derrick Coetzee:
Choosing Sample Size for Knowledge Tracing Models. - Yanbo Xu, Jack Mostow:
A Unified 5-Dimensional Framework for Student Models. - Linglong Zhu, Yutao Wang, Neil T. Heffernan:
The Sequence of Action Model: Leveraging the Sequence of Attempts and Hints. - William J. Hawkins, Neil T. Heffernan:
Using Similarity to the Previous Problem to Improve Bayesian Knowledge Tracing. - Rinat B. Rosenberg-Kima
, Zachary A. Pardos:
Is this Data for Real? - Matti Nelimarkka, Madeeha Ghori:
The Effect of Variations of Prior on Knowledge Tracing. - Radek Pelánek:
A Brief Overview of Metrics for Evaluation of Student Models. - Asif Dhanani, Seung Yeon Lee, Phitchaya Mangpo Phothilimthana, Zachary A. Pardos:
A Comparison of Error Metrics for Learning Model Parameters in Bayesian Knowledge Tracing. - Nihat Cengiz, Arban Uka:
Prediction of Student Success Using Enrollment Data. - Sarah E. Schultz, Ivon Arroyo:
Expanding Knowledge Tracing to Prediction of Gaming Behaviors. - Adaeze Nwaigwe:
Evaluating Student Models.
FFMI 2014: Workshop on Feedback from Multimodal Interactions in Learning Management Systems
- Beate Grawemeyer, Manolis Mavrikis, Sergio Gutiérrez Santos, Alice Hansen:
Interventions During Student Multimodal Learning Activities: which, and why? - Ruth Janning, Carlotta Schatten, Lars Schmidt-Thieme:
Multimodal Affect Recognition for Adaptive Intelligent Tutoring Systems. - Patricia Gutierrez, Nardine Osman, Carles Sierra:
Collaborative Assessment. - Johan Loeckx:
Mining for Evidence of Collaborative Learning in Question & Answering Systems. - Mark d'Inverno, Arthur Still:
Creative Feedback: a Manifesto for Social Learning.
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