Presentations and Authors


Last name A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Track:
 

Invited Talk

Stream Mining in Education? Dealing with Evolution   PDF
Myra Spiliopoulou 3-4
From Text to Feedback: Leveraging Data Mining to Build Educational Technologies  PDF
Danielle S. McNamara 5-6
Five Aspirations for Educational Data Mining  PDF
Bob Dolan, John Behrens 7-8

Full Paper

Assisting Instructor Assessment of Undergraduate Collaborative Wiki and SVN Activities  PDF
Jihie Kim, Erin Shaw, Hao Xu, Adarsh G V 10-16
Automated Student Model Improvement. PDF
Kenneth R. Koedinger, Elizabeth A. McLaughlin, John C. Stamper 17-24
Automatic Discovery of Speech Act Categories in Educational Games  PDF
Vasile Rus, Arthur Graesser, Cristian Moldovan, Nobal Niraula 25-32
Co-Clustering by Bipartite Spectral Graph Partitioning for Out-of-Tutor Prediction  PDF
Shubhendu Trivedi, Zachary Pardos, Gábor Sárközy, Neil Heffernan 33-40
Comparison of methods to trace multiple subskills: Is LR-DBN best? PDF
Yanbo Xu, Jack Mostow 41-48
Dynamic Cognitive Tracing: Towards Unified Discovery of Student and Cognitive Models  PDF
José González-Brenes, Jack Mostow 49-56
Identifying Learning Behaviors by Contextualizing Differential Sequence Mining with Action Features and Performance Evolution PDF
John Kinnebrew, Gautam Biswas 57-64
Identifying Students' Characteristic Learning Behaviors in an Intelligent Tutoring System Fostering Self-Regulated Learning  PDF
François Bouchet, John Kinnebrew, Gautam Biswas, Roger Azevedo 65-72
Learner Differences in Hint Processing PDF
Ilya Goldin, Kenneth Koedinger, Vincent Aleven 73-80
Methods to find the number of latent skills PDF
Behzad Beheshti, Michel Desmarais, Rhouma Naceur 81-86
Mining Student Behavior Patterns in Reading Comprehension Tasks  PDF
Terry Peckham, Gordon McCalla 87-94
Model-Based Collaborative Filtering Analysis of Student Response Data: Machine-Learning Item Response Theory  PDF
Yoav Bergner, Stefan Droschler, Gerd Kortemeyer, Saif Rayyan, Daniel Seaton, David Pritchard 95-102
Predicting drop-out from social behaviour of students PDF
Tomas Obsivac, Lubos Popelinsky, Jaroslav Bayer, Jan Geryk, Hana Bydzovska 103-109
Searching for Variables and Models to Investigate Mediators of Learning from Multiple Representations  PDF
Martina Rau, Richard Scheines 110-117
The Impact on Individualizing Student Models on Necessary Practice Opportunities PDF
Jung In Lee, Emma Brunskill 118-125
Sensor-free automated detection of affect in a Cognitive Tutor for Algebra PDF
Ryan S.J.D. Baker, Sujith Gowda, Michael Wixon, Jessica Kalka, Angela Wagner, Aatish Salvi, Vincent Aleven, Gail Kusbit, Jaclyn Ocumpaugh, Lisa Rossi 126-133
Using Edit Distance to Mine for Errors in a Natural Language to Logic Translation Corpus  PDF
Dave Barker-Plummer, Robert Dale, Richard Cox, Alex Romanczuk 134-141

Short Paper

Calculating Probabilistic Distance to Solution in a Complex Problem Solving Domain  PDF
Leigh Ann Sudol, Kelly Rivers, Thomas K Harris 144-147
Classification via clustering for predicting final marks starting from the student participation in Forums PDF
Manuel Ignacio Lopez, Cristobal Romero, Sebastián Ventura, J M Luna 148-151
Development of a Workbench to Address the Educational Data Mining Bottleneck PDF
Ma. Mercedes Rodrigo, Ryan S. J. D. Baker, Bruce McLaren, Alejandra Jayme, Thomas T Dy 152-155
Early Prediction of Student Self-Regulation Strategies by Combining Multiple Models PDF
Jennifer Sabourin, Bradford Mott, James Lester 156-159
Identifying Experts from Interaction Behaviour  PDF
Judi Mccuaig, Juli Baldwin 160-163
Interaction Networks: Generating High Level Hints Based on Network Community Clusterings  PDF
Michael Eagle, Matthew Johnson, Tiffany Barnes 164-167
Investigating Practice Schedules of Multiple Fraction Representations Using Knowledge Tracing Based Learning Analysis Techniques PDF
Martina Rau, Zachary Pardos 168-171
Learning Gains for Core Concepts in a Serious Game on Scientific Reasoning  PDF
Carol Forsyth, Philip I Pavlik Jr., Arthur Graesser, Zhiqiang Cai, Mae-Lynn Germany, Keith Millis, Heather Butler, Diane Halpern, Robert Dolan 172-175
Leveraging First Response Time into the Knowledge Tracing Model PDF
Yutao Wang, Nei Heffernan 176-179
Meta-learning Approach for Automatic Parameter Tuning: A case of study with educational datasets  PDF
María De Molina, Cristobal Romero, Sebastián Ventura, J M Luna 180-183
Mining Concept Maps to Understand Students' Learning PDF
Jin Soung Yoo, Moon-Heum Cho 184-187
Policy Building -- An Extension To User Modeling PDF
Michael Yudelson, Emma Brunskill 188-191
The real world significance of performance prediction  PDF
Zachary Pardos, Qing Yang Wang, Shubhendu Trivedi 192-195
The Rise of the Super Experiment  PDF
John Stamper, Derek Lomas, Dixie Ching, Steven Ritter, Kenneth Koedinger, Jonathan Steinhart 196-200
Incorporating Factors Influencing Knowledge Retention into a Student Model  PDF
Yutao Wang, Joseph Beck 201-203

Poster

A promising classification method for predicting distance students’ performance PDF
Diego García-Saiz, Marta Zorrilla 206-207
Analyzing paths in a student database  PDF
Donatella Merlini, Renza Campagni, Renzo Sprugnoli 208-209
Analyzing the behavior of a teacher network in a Web 2.0 environment  PDF
Eliana Scheihing, Carolina Aros, Daniel Guerra 210-211
Automated Detection of Mentors and Players in an Educational Game PDF
Fazel Keshtkar, Brent Morgan, Arthur Graesser 212-213
Categorizing Students' Response Patterns using the Concept of Fractal Dimension  PDF
Rasil Warnakulasooriya, William Galen 214-215
CurriM: Curriculum Mining PDF
Mykola Pechenizkiy, Nikola Trcka, Paul De Bra, Pedro Toledo 216-217
Data mining techniques for design of ITS student models  PDF
Ritu Chaturvedi, Christie Ezeife 218-219
Deciding on Feedback Polarity and Timing  PDF
Stuart Johnson, Osmar Zaiane 220-221
Finding Dependent Test Items: An Information Theory Based Approach  PDF
Xiaoxun Sun 222-223
Fit-to-Model Statistics for Evaluating Quality of Bayesian Student Ability Estimation  PDF
Ling Tan 224-225
Inferring learners’ knowledge from observed actions PDF
Anna Rafferty, Michelle Lamar, Thomas Griffiths 226-227
Learning Paths in a Non-Personalizing e-Learning Environment  PDF
Agathe Merceron, Liane Beuster, Margarita Elkina, Albrecht Fortenbacher, Leonard Kappe, Andreas Pursian, Sebastian Schwarzrock, Boris Wenzlaff 228-229
Similarity Functions for Collaborative Master Recommendations PDF
Alexandru Surpatean, Evgueni Smirnov, Nicolai Manie 230-231
Speaking (and touching) to learn: a method for mining the digital footprints of face-to-face collaboration  PDF
Roberto Martinez Maldonado, Kalina Yacef, Judy Kay 232-233
Social Networks Analysis for Quantifying Students’ Performance in Teamwork  PDF
Pedro Crespo, Claudia Antunes 234-235
Stress Analytics in Education  PDF
Rafal Kocielnik, Mykola Pechenizkiy, Natalia Sidorova 236-237
Variable Construction and Causal Discovery for Cognitive Tutor Log Data: Initial Results  PDF
Stephen Fancsali 238-239