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ORCID5th EDM 2012: Chania, Greece
- Kalina Yacef, Osmar R. Zaïane, Arnon Hershkovitz, Michael Yudelson, John C. Stamper:
Proceedings of the 5th International Conference on Educational Data Mining, Chania, Greece, June 19-21, 2012. www.educationaldatamining.org 2012, ISBN 978-1-74210-276-4
Invited Talks
- Myra Spiliopoulou:
Stream Mining in Education? Dealing with Evolution. 3-4 - Danielle S. McNamara:
From Text to Feedback: Leveraging Data Mining to Build Educational Technologies. 5-6 - Bob Dolan, John Behrens:
Five Aspirations for Educational Data Mining. 7-8
Full Papers Accepted
- Jihie Kim, Erin Shaw, Hao Xu, Adarsh G. V.:
Assisting Instructor Assessment of Undergraduate Collaborative Wiki and SVN Activities. 10-16 - Kenneth R. Koedinger, Elizabeth A. McLaughlin, John C. Stamper:
Automated Student Model Improvement. 17-24 - Vasile Rus, Arthur C. Graesser, Cristian Moldovan, Nobal B. Niraula:
Automatic Discovery of Speech Act Categories in Educational Games. 25-32 - Shubhendu Trivedi, Zachary A. Pardos, Gábor N. Sárközy, Neil T. Heffernan:
Co-Clustering by Bipartite Spectral Graph Partitioning for Out-of-Tutor Prediction. 33-40 - Yanbo Xu, Jack Mostow:
Comparison of methods to trace multiple subskills: Is LR-DBN best? 41-48 - José P. González-Brenes, Jack Mostow:
Dynamic Cognitive Tracing: Towards Unified Discovery of Student and Cognitive Models. 49-56 - John S. Kinnebrew, Gautam Biswas:
Identifying Learning Behaviors by Contextualizing Differential Sequence Mining with Action Features and Performance Evolution. 57-64 - François Bouchet, John S. Kinnebrew, Gautam Biswas, Roger Azevedo:
Identifying Students' Characteristic Learning Behaviors in an Intelligent Tutoring System Fostering Self-Regulated Learning. 65-72 - Ilya M. Goldin, Kenneth R. Koedinger, Vincent Aleven:
Learner Differences in Hint Processing. 73-80 - Behzad Beheshti, Michel C. Desmarais, Rhouma Naceur:
Methods to find the number of latent skills. 81-86 - Terry Peckham, Gordon McCalla:
Mining Student Behavior Patterns in Reading Comprehension Tasks. 87-94 - Yoav Bergner, Stefan Dröschler, Gerd Kortemeyer, Saif Rayyan, Daniel T. Seaton, David E. Pritchard:
Model-Based Collaborative Filtering Analysis of Student Response Data: Machine-Learning Item Response Theory. 95-102 - Tomas Obsivac, Lubos Popelínský, Jaroslav Bayer, Jan Geryk, Hana Bydzovská:
Predicting drop-out from social behaviour of students. 103-109 - Martina A. Rau, Richard Scheines:
Searching for Variables and Models to Investigate Mediators of Learning from Multiple Representations. 110-117 - Jung In Lee, Emma Brunskill:
The Impact on Individualizing Student Models on Necessary Practice Opportunities. 118-125 - Ryan Shaun Joazeiro de Baker, Sujith M. Gowda, Michael Wixon, Jessica Kalka, Angela Z. Wagner, Aatish Salvi, Vincent Aleven, Gail Kusbit, Jaclyn Ocumpaugh, Lisa M. Rossi:
Sensor-free automated detection of affect in a Cognitive Tutor for Algebra. 126-133 - Dave Barker-Plummer, Robert Dale, Richard Cox, Alex Romanczuk:
Using Edit Distance to Mine for Errors in a Natural Language to Logic Translation Corpus. 134-141
Short papers accepted
- Leigh Ann Sudol, Kelly Rivers, Thomas K. Harris:
Calculating Probabilistic Distance to Solution in a Complex Problem Solving Domain. 144-147 - Manuel Ignacio López, Cristóbal Romero, Sebastián Ventura, José María Luna:
Classification via clustering for predicting final marks starting from the student participation in Forums. 148-151 - Ma. Mercedes T. Rodrigo, Ryan Shaun Joazeiro de Baker, Bruce M. McLaren, Alejandra Jayme, Thomas Dy:
Development of a Workbench to Address the Educational Data Mining Bottleneck. 152-155 - Jennifer Sabourin, Bradford W. Mott, James C. Lester:
Early Prediction of Student Self-Regulation Strategies by Combining Multiple Models. 156-159 - Judi McCuaig, Julia Baldwin:
Identifying Experts from Interaction Behaviour. 160-163 - Michael Eagle, Matthew W. Johnson, Tiffany Barnes:
Interaction Networks: Generating High Level Hints Based on Network Community Clusterings. 164-167 - Martina A. Rau, Zachary A. Pardos:
Investigating Practice Schedules of Multiple Fraction Representations Using Knowledge Tracing Based Learning Analysis Techniques. 168-171 - Carol Forsyth, Philip I. Pavlik Jr., Arthur C. Graesser, Zhiqiang Cai, Mae-Lynn Germany, Keith K. Millis, Heather Butler, Diane F. Halpern, Robert P. Dolan:
Learning Gains for Core Concepts in a Serious Game on Scientific Reasoning. 172-175 - Yutao Wang, Neil T. Heffernan:
Leveraging First Response Time into the Knowledge Tracing Model. 176-179 - María De Mar Molina, Cristóbal Romero, Sebastián Ventura, José María Luna:
Meta-learning Approach for Automatic Parameter Tuning: A case of study with educational datasets. 180-183 - Jin Soung Yoo, Moon-Heum Cho:
Mining Concept Maps to Understand Students' Learning. 184-187 - Michael Yudelson, Emma Brunskill:
Policy Building - An Extension To User Modeling. 188-191 - Zachary A. Pardos, Qing Yang Wang, Shubhendu Trivedi:
The real world significance of performance prediction. 192-195 - John C. Stamper, Derek Lomas, Dixie Ching, Steven Ritter, Kenneth R. Koedinger, Jonathan Steinhart:
The Rise of the Super Experiment. 196-200 - Yutao Wang, Joseph Beck:
Incorporating Factors Influencing Knowledge Retention into a Student Model. 201-203
Posters Accepted
- Diego García-Saiz, Marta E. Zorrilla:
A promising classification method for predicting distance students' performance. 206-207 - Donatella Merlini, Renza Campagni, Renzo Sprugnoli:
Analyzing paths in a student database. 208-209 - Eliana Scheihing, Carolina Aros, Daniel Guerra:
Analyzing the behavior of a teacher network in a Web 2.0 environment. 210-211 - Fazel Keshtkar, Brent Morgan, Arthur C. Graesser:
Automated Detection of Mentors and Players in an Educational Game. 212-213 - Rasil Warnakulasooriya, William Galen:
Categorizing Students' Response Patterns using the Concept of Fractal Dimension. 214-215 - Mykola Pechenizkiy, Nikola Trcka, Paul De Bra, Pedro A. Toledo:
CurriM: Curriculum Mining. 216-217 - Ritu Chaturvedi, Christie I. Ezeife:
Data mining techniques for design of ITS student models. 218-219 - Stuart Johnson, Osmar R. Zaïane:
Deciding on Feedback Polarity and Timing. 220-221 - Xiaoxun Sun:
Finding Dependent Test Items: An Information Theory Based Approach. 222-223 - Ling Tan:
Fit-to-Model Statistics for Evaluating Quality of Bayesian Student Ability Estimation. 224-225 - Anna N. Rafferty, Michelle M. LaMar, Thomas L. Griffiths:
Inferring learners' knowledge from observed actions. 226-227 - Agathe Merceron, Liane Beuster, Margarita Elkina, Albrecht Fortenbacher, Leonard Kappe, Andreas Pursian, Sebastian Schwarzrock, Boris Wenzlaff:
Learning Paths in a Non-Personalizing e-Learning Environment. 228-229 - Alexandru Surpatean, Evgueni N. Smirnov, Nicolai Manie:
Similarity Functions for Collaborative Master Recommendations. 230-231 - Roberto Martínez Maldonado, Kalina Yacef, Judy Kay:
Speaking (and touching) to learn: a method for mining the digital footprints of face-to-face collaboration. 232-233 - Pedro Terras Crespo, Cláudia Antunes:
Social Networks Analysis for Quantifying Students' Performance in Teamwork. 234-235 - Rafal Kocielnik, Mykola Pechenizkiy, Natalia Sidorova:
Stress Analytics in Education. 236-237 - Stephen Fancsali:
Variable Construction and Causal Discovery for Cognitive Tutor Log Data: Initial Results. 238-239
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