Menu:

Latest news:

General

May 11, 2012
Category: General
Posted by: admin

The early registration period has ended. Regular registration is now open.

 

Apr 19, 2012
Category: General
Posted by: admin

Early registration fees are $350 for faculty and professionals.  The registration fee is $200 for graduate students.  For this fee, you must present a valid student ID when you pick up your conference packet.


Apr 10, 2012
Category: General
Posted by: admin

Please see the proceedings for a complete list of accepted papers.

 

Feb 28, 2012
Category: General
Posted by: admin
See the Program page for more information!

Organized by the International Educational Data Mining Society (IEDMS).

Sponsors:

Gold Sponsors

Carnegie Learning

Pearson Education

Silver Sponsors

LearnLab

Proceedings

 

 

Citation Information

Yacef, K., Zaïane, O., Hershkovitz, H., Yudelson, M., and Stamper, J. (eds.) Proceedings of the 5th International Conference on Educational Data Mining.

Online Proceedings

Click here to download a PDF file of the full proceedings (~20.5M).

 

Cover, Preface, Organization. Sponsors, Table of Contents

Pages I-XIII [pdf]

 

Invited Talks

Stream Mining in Education? Dealing with Evolution  
Myra Spiliopoulou
Pages 3-4 [pdf]

From Text to Feedback: Leveraging Data Mining to Build Educational Technologies
Danielle S. McNamara
Pages 5-6 [pdf]

Five Aspirations for Educational Data Mining 
Bob Dolan and John Behrens
Pages 7-8 [pdf]

 

Full Papers Accepted

Assisting Instructor Assessment of Undergraduate Collaborative Wiki and SVN Activities
Jihie Kim, Erin Shaw, Hao Xu and Adarsh G V.
Pages 10-16 [pdf]

Automated Student Model Improvement. Best Paper Award
Kenneth R. Koedinger, Elizabeth A. McLaughlin and John C. Stamper
Pages 17-24 [pdf]

Automatic Discovery of Speech Act Categories in Educational Games
Vasile Rus, Arthur Graesser, Cristian Moldovan and Nobal Niraula
Pages 25-32 [pdf]

Co-Clustering by Bipartite Spectral Graph Partitioning for Out-of-Tutor Prediction
Shubhendu Trivedi, Zachary Pardos, Gábor Sárközy and Neil Heffernan
Pages 33-40 [pdf]

Comparison of methods to trace multiple subskills: Is LR-DBN best? Best Student Paper Award
Yanbo Xu and Jack Mostow
Pages 41-48 [pdf]

Dynamic Cognitive Tracing: Towards Unified Discovery of Student and Cognitive Models 
José González-Brenes and Jack Mostow
Pages 49-56 [pdf]

Identifying Learning Behaviors by Contextualizing Differential Sequence Mining with Action Features and Performance Evolution Best Paper Award
John Kinnebrew and Gautam Biswas
Pages 57-64 [pdf]

Identifying Students' Characteristic Learning Behaviors in an Intelligent Tutoring System Fostering Self-Regulated Learning
François Bouchet, John Kinnebrew, Gautam Biswas and Roger Azevedo
Pages 65-72 [pdf]

Learner Differences in Hint Processing Nominee for Best Paper Award
Ilya Goldin, Kenneth Koedinger and Vincent Aleven
Pages 73-80 [pdf]

Methods to find the number of latent skills
Behzad Beheshti, Michel Desmarais and Rhouma Naceur
Pages 81-86 [pdf]

Mining Student Behavior Patterns in Reading Comprehension Tasks
Terry Peckham and Gordon McCalla
Pages 87-94 [pdf]

Model-Based Collaborative Filtering Analysis of Student Response Data: Machine-Learning Item Response Theory 
Yoav Bergner, Stefan Droschler, Gerd Kortemeyer, Saif Rayyan, Daniel Seaton and David Pritchard
Pages 95-102 [pdf]

Predicting drop-out from social behaviour of students
Tomas Obsivac, Lubos Popelinsky, Jaroslav Bayer, Jan Geryk and Hana Bydzovska
Pages 103-109 [pdf]

Searching for Variables and Models to Investigate Mediators of Learning from Multiple Representations
Martina Rau and Richard Scheines
Pages 110-117 [pdf]

The Impact on Individualizing Student Models on Necessary Practice Opportunities Nominee for Best Paper Award
Jung In Lee and Emma Brunskill.
Pages 118-125 [pdf]

Sensor-free automated detection of affect in a Cognitive Tutor for Algebra
Ryan S.J.D. Baker, Sujith Gowda, Michael Wixon, Jessica Kalka, Angela Wagner, Aatish Salvi, Vincent Aleven, Gail Kusbit, Jaclyn Ocumpaugh and Lisa Rossi
Pages 126-133 [pdf]

Using Edit Distance to Mine for Errors in a Natural Language to Logic Translation Corpus 
Dave Barker-Plummer, Robert Dale, Richard Cox and Alex Romanczuk
Pages 134-141 [pdf]

 

 

Short papers accepted

Calculating Probabilistic Distance to Solution in a Complex Problem Solving Domain 
Leigh Ann Sudol, Kelly Rivers and Thomas K. Harris.
Pages 144-147 [pdf]

Classification via clustering for predicting final marks starting from the student participation in Forums
Manuel Ignacio Lopez, Cristobal Romero, Sebastián Ventura and J.M. Luna.
Pages 148-151 [pdf]

Development of a Workbench to Address the Educational Data Mining Bottleneck
Ma. Mercedes Rodrigo, Ryan S. J. D. Baker, Bruce McLaren, Alejandra Jayme and Thomas Dy.
Pages 152-155 [pdf]

Early Prediction of Student Self-Regulation Strategies by Combining Multiple Models
Jennifer Sabourin, Bradford Mott and James Lester.
Pages 156-159 [pdf]

Identifying Experts from Interaction Behaviour
Judi Mccuaig and Julia Baldwin.
Pages 160-163 [pdf]

Interaction Networks: Generating High Level Hints Based on Network Community Clusterings
Michael Eagle, Matthew Johnson and Tiffany Barnes.
Pages 164-167 [pdf]

Investigating Practice Schedules of Multiple Fraction Representations Using Knowledge Tracing Based Learning Analysis Techniques
Martina Rau and Zachary Pardos.
Pages 168-171 [pdf]

Learning Gains for Core Concepts in a Serious Game on Scientific Reasoning 
Carol Forsyth, Philip Pavlik Jr, Arthur Graesser, Zhiqiang Cai, Mae-Lynn Germany, Keith Millis, Heather Butler, Diane Halpern and Robert Dolan.

Pages 172-175 [pdf]

Leveraging First Response Time into the Knowledge Tracing Model
Yutao Wang and Neil Heffernan.
Pages 176-179 [pdf]

Meta-learning Approach for Automatic Parameter Tuning: A case of study with educational datasets 
María De Mar Molina, Cristobal Romero,Sebastián Ventura and J.M. Luna.
Pages 180-183 [pdf]

Mining Concept Maps to Understand Students' Learning
Jin Soung Yoo and Moon-Heum Cho.
Pages 184-187 [pdf]

Policy Building -- An Extension To User Modeling
Michael Yudelson and Emma Brunskill.
Pages 188-191 [pdf]

The real world significance of performance prediction
Zachary Pardos, Qing Yang Wang and Shubhendu Trivedi.
Pages 192-195 [pdf]

The Rise of the Super Experiment 
John Stamper, Derek Lomas, Dixie Ching, Steven Ritter, Kenneth Koedinger and Jonathan Steinhart.
Pages 196-200 [pdf]

Incorporating Factors Influencing Knowledge Retention into a Student Model
Yutao Wang and Joseph Beck.
Pages 201-203 [pdf]

 

Posters Accepted

A promising classification method for predicting distance students’ performance
Diego García-Saiz and Marta Zorrilla.
Pages 206-207 [pdf]

Analyzing paths in a student database
Donatella Merlini, Renza Campagni and Renzo Sprugnoli.
Pages 208-209 [pdf]

Analyzing the behavior of a teacher network in a Web 2.0 environment 
Eliana Scheihing, Carolina Aros and Daniel Guerra.
Pages 210-211 [pdf]

Automated Detection of Mentors and Players in an Educational Game
Fazel Keshtkar, Brent Morgan and Arthur Graesser.
Pages 212-213 [pdf]

Categorizing Students' Response Patterns using the Concept of Fractal Dimension
Rasil Warnakulasooriya and William Galen.
Pages 214-215 [pdf]

CurriM: Curriculum Mining
Mykola Pechenizkiy, Nikola Trcka, Paul De Bra and Pedro Toledo.
Pages 216-217 [pdf]

Data mining techniques for design of ITS student models 
Ritu Chaturvedi and Christie Ezeife
Pages 218-219 [pdf]

Deciding on Feedback Polarity and Timing 
Stuart Johnson and Osmar Zaiane.
Pages 220-221 [pdf]

Finding Dependent Test Items: An Information Theory Based Approach
Xiaoxun Sun.
Pages 222-223 [pdf]

Fit-to-Model Statistics for Evaluating Quality of Bayesian Student Ability Estimation
Ling Tan.
Pages 224-225 [pdf]

Inferring learners’ knowledge from observed actionsBest Poster Award
Anna Rafferty, Michelle Lamar and Thomas Griffiths.
Pages 226-227 [pdf]

Learning Paths in a Non-Personalizing e-Learning Environment
Agathe Merceron, Liane Beuster, Margarita Elkina, Albrecht Fortenbacher, Leonard Kappe, Andreas Pursian, Sebastian Schwarzrock and Boris Wenzlaff.
Pages 228-229 [pdf]

Similarity Functions for Collaborative Master Recommendations
Alexandru Surpatean, Evgueni Smirnov and Nicolai Manie.
Pages 230-231 [pdf]

Speaking (and touching) to learn: a method for mining the digital footprints of face-to-face collaboration
Roberto Martinez Maldonado, Kalina Yacef and Judy Kay.
Pages 232-233 [pdf]

Social Networks Analysis for Quantifying Students’ Performance in Teamwork 
Pedro Crespo and Claudia Antunes
Pages 234-235 [pdf]

Stress Analytics in Education
Rafal Kocielnik, Mykola Pechenizkiy and Natalia Sidorova.
Pages 236-237 [pdf]

Variable Construction and Causal Discovery for Cognitive Tutor Log Data: Initial Results
Stephen Fancsali
Pages 238-239 [pdf]