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ORCID4th EDM 2011: Eindhoven, The Netherlands
- Mykola Pechenizkiy, Toon Calders, Cristina Conati, Sebastián Ventura, Cristóbal Romero, John C. Stamper:
Proceedings of the 4th International Conference on Educational Data Mining, Eindhoven, The Netherlands, July 6-8, 2011. www.educationaldatamining.org 2011, ISBN 978-90-386-2537-9
Invited Talks (Abstracts)
- Barry Smyth:
Social Information Discovery. 3 - Erik-Jan van der Linden:
On Exploration and Mining of Data in Educational Practice. 5 - John C. Stamper:
EDM and the 4th Paradigm of Scientific Discovery - Reflections on KDD Cup 2010. 7
Full Papers
- Nguyen Thai-Nghe, Tomás Horváth, Lars Schmidt-Thieme:
Factorization Models for Forecasting Student Performance. 11-20 - Reihaneh Rabbany, Mansoureh Takaffoli, Osmar R. Zaïane:
Analyzing Participation of Students in Online Courses Using Social Network Analysis Techniques. 21-30 - Nan Li, William W. Cohen, Kenneth R. Koedinger, Noboru Matsuda:
A Machine Learning Approach for Automatic Student Model Discovery. 31-40 - Michel C. Desmarais:
Conditions for Effectively Deriving a Q-Matrix from Data with Non-negative Matrix Factorization. Best Paper Award. 41-50 - Dave Barker-Plummer, Richard Cox, Robert Dale:
Student Translations of Natural Language into Logic: The Grade Grinder Translation Corpus Release 1.0. 51-60 - Min Chi, Kenneth R. Koedinger, Geoffrey J. Gordon, Pamela W. Jordan, Kurt VanLehn:
Instructional Factors Analysis: A Cognitive Model For Multiple Instructional Interventions. 61-70 - Adaeze Nwaigwe, Kenneth R. Koedinger:
The Simple Location Heuristic is Better at Predicting Students' Changes in Error Rate Over Time Compared to the Simple Temporal Heuristic. 71-80 - Yue Gong, Joseph Beck:
Items, Skills, and Transfer Models: Which Really Matters for Student Modeling? 81-90 - Kenneth R. Koedinger, Philip I. Pavlik Jr., John C. Stamper, Tristan Nixon, Steven Ritter:
Avoiding Problem Selection Thrashing with Conjunctive Knowledge Tracing. 91-100 - Bahador B. Nooraei, Zachary A. Pardos, Neil T. Heffernan, Ryan Shaun Joazeiro de Baker:
Less is More: Improving the Speed and Prediction Power of Knowledge Tracing by Using Less Data. 101-110 - Roberto Martínez Maldonado, Kalina Yacef, Judy Kay, Ahmed Kharrufa, Ammar Al-Qaraghuli:
Analysing Frequent Sequential Patterns of Collaborative Learning Activity Around an Interactive Tabletop. Nominee for Best Paper Award. 111-120 - Kelly Wauters, Piet Desmet, Wim Van Den Noortgate:
Acquiring Item Difficulty Estimates: a Collaborative Effort of Data and Judgment. Nominee for Best Paper Award. 121-128 - Shubhendu Trivedi, Zachary A. Pardos, Gábor N. Sárközy, Neil T. Heffernan:
Spectral Clustering in Educational Data Mining. 129-138 - Yumeng Qiu, Yingmei Qi, Hanyuan Lu, Zachary A. Pardos, Neil T. Heffernan:
Does Time Matter? Modeling the Effect of Time with Bayesian Knowledge Tracing. 139-148 - Jack Mostow, José P. González-Brenes, Bao Hong (Lucas) Tan:
Learning Classifiers From a Relational Database of Tutor Logs. 149-158 - Samad Kardan, Cristina Conati:
A Framework for Capturing Distinguishing User Interaction Behaviors in Novel Interfaces. 159-168 - José P. González-Brenes, Jack Mostow, Weisi Duan:
How to Classify Tutorial Dialogue? Comparing Feature Vectors vs. Sequences. 169-178 - Ryan Shaun Joazeiro de Baker, Sujith M. Gowda, Albert T. Corbett:
Automatically Detecting a Student's Preparation for Future Learning: Help Use is Key. 179-188 - Zachary A. Pardos, Sujith M. Gowda, Ryan Shaun Joazeiro de Baker, Neil T. Heffernan:
Ensembling Predictions of Student Post-Test Scores for an Intelligent Tutoring System. 189-198 - Sujith M. Gowda, Jonathan P. Rowe, Ryan Shaun Joazeiro de Baker, Min Chi, Kenneth R. Koedinger:
Improving Models of Slipping, Guessing, and Moment-By-Moment Learning with Estimates of Skill Difficulty. 199-208
Short Papers
- Annalies Vuong, Tristan Nixon, Brendon Towle:
A Method for Finding Prerequisites Within a Curriculum. 211-216 - Emma Brunskill:
Estimating Prerequisite Structure From Noisy Data. 217-222 - Dmitry I. Ignatov, Serafima Mamedova, Nikita Romashkin, Ivan Shamshurin:
What Can Closed Sets of Students and Their Marks Say? 223-228 - Nikita Romashkin, Dmitry I. Ignatov, Elena Kolotova:
How University Entrants are Choosing Their Department? Mining of University Admission Process with FCA Taxonomies. 229-234 - Marcelo Worsley, Paulo Blikstein:
What's an Expert? Using Learning Analytics to Identify Emergent Markers of Expertise through Automated Speech, Sentiment and Sketch Analysis. 235-240 - Yanbo Xu, Jack Mostow:
Using Logistic Regression to Trace Multiple Sub-skills in a Dynamic Bayes Net. 241-246 - Kelly Wauters, Piet Desmet, Wim Van Den Noortgate:
Monitoring Learners' Proficiency: Weight Adaptation in the Elo Rating System. 247-252 - Germán Cobo, David García-Solórzano, Eugènia Santamaria, Jose Antonio Morán, Javier Melenchón, Carlos Monzo:
Modeling Students' Activity in Online Discussion Forums: A Strategy based on Time Series and Agglomerative Hierarchical Clustering. 253-258 - Gökhan Akçapinar, Erdal Cosgun, Arif Altun:
Prediction of Perceived Disorientation in Online Learning Environment with Random Forest Regression. 259-264 - Vladimir Ivancevic, Milan Celikovic, Ivan Lukovic:
Analyzing Student Spatial Deployment in a Computer Laboratory. 265-270 - Carlos Márquez-Vera, Cristóbal Romero, Sebastián Ventura:
Predicting School Failure Using Data Mining. 271-276 - Philip I. Pavlik Jr., Sue-mei Wu:
A Dynamical System Model of Microgenetic Changes in Performance, Efficacy, Strategy Use and Value during Vocabulary Learning. 277-282 - Jack Mostow, Yanbo Xu, Md. Ahaduzzaman Munna:
Desperately Seeking Subscripts: Towards Automated Model Parameterization. 283-288 - Behrooz Mostafavi, Tiffany Barnes, Marvin J. Croy:
Automatic Generation of Proof Problems in Deductive Logic. 289-294 - Mingyu Feng, Neil T. Heffernan, Zachary A. Pardos, Cristina Heffernan:
Comparing of Traditional Assessment with Dynamic Testing in a Tutoring System. 295-300 - George Goguadze, Sergey A. Sosnovsky, Seiji Isotani, Bruce M. McLaren:
Evaluating a Bayesian Student Model of Decimal Misconceptions. 301-306 - Dovan Rai, Joseph Beck:
Exploring User Data From a Game-like Math Tutor: A Case Study in Causal Modeling. 307-313
Posters
- Arnon Hershkovitz, Ryan Shaun Joazeiro de Baker, Janice D. Gobert, Michael Wixon:
Goal Orientation and Changes of Carelessness over Consecutive Trials in Science Inquiry. 315-316 - Antonio R. Anaya, Jesus Boticario:
Towards Improvements on Domain-independent Measurements for Collaborative Assessment. 317-318 - Rafael Pedraza Perez, Cristóbal Romero, Sebastián Ventura:
A Java Desktop Tool for Mining Moodle Data. 319-320 - Alfredo Zapata Gonzalez, Víctor Hugo Menéndez-Domínguez, Manuel E. Prieto, Cristóbal Romero:
Using Data Mining in a Recommender System to Search for Learning Objects in Repositories. 321-322 - Diego García-Saiz, Marta E. Zorrilla:
E-learning Web Miner: A Data Mining Application to Help Instructors Involved in Virtual Courses. 323-324 - Qiwei He, Bernard P. Veldkamp, Gerben Westerhof:
Computerized Coding System for Life Narratives to Assess Students' Personality Adaption. 325-326 - Emma Brunskill, Stuart Russell:
Partially Observable Sequential Decision Making for Problem Selection in an Intelligent Tutoring System. 327-328 - Joana Barracosa, Cláudia Antunes:
Mining Teaching Behaviors from Pedagogical Surveys. 329-330 - Stephen Fancsali:
Variable Construction and Causal Modeling of Online Education Messaging Data: Initial Results. 331-332 - Carina S. González, Pedro A. Toledo:
The Hospital Classrooms Environments Challenge. 333-334 - Osamu Yamakawa:
Combining Study of Complex Network and Text Mining Analysis to Understand Growth Mechanism of Communities on SNS. 335-336 - Yanbo Xu, Jack Mostow:
Logistic Regression in a Dynamic Bayes Net Models Multiple Subskills Better! 337-338 - Edgar Cambranes-Martínez, Judith Good:
Studying the Problem-solving Strategies in the Early Stages of Learning Programming. 339-340 - Anjo Anjewierden, Hannie Gijlers, Nadira Saab, Robert de Hoog:
Brick: Mining Pedagogically Interesting Sequential Patterns. 341-342 - Lorenzo Moreno Ruiz, Carina S. González, Román Estévez, Béatrice Pesquet-Popescu:
Intelligent Evaluation of Social Knowledge Building Using Conceptual Maps with MLN. 343-344 - Florian Lemmerich, Marianus Ifland, Frank Puppe:
Identifying Influence Factors on Students Success by Subgroup Discovery. 345-346 - Dorina Kabakchieva, Kamelia Stefanova, Valentin S. Kisimov:
Analyzing University Data for Determining Student Profiles and Predicting Performance. 347-348 - Matthew W. Johnson, Michael Eagle, Leena Joseph, Tiffany Barnes:
The EDM Vis Tool. 349-350 - Yutao Wang, Neil T. Heffernan:
Towards Modeling Forgetting and Relearning in ITS: Preliminary Analysis of ARRS Data. 352 - Alina A. von Davier:
Quality Control and Data Mining Techniques Applied to Monitoring Scaled Scores. 353-354 - Anna Lea Dyckhoff, Dennis Zielke, Mohamed Amine Chatti, Ulrik Schroeder:
eLAT: An Exploratory Learning Analytics Tool for Reflection and Iterative Improvement of Technology Enhanced Learning. 355-356 - Judith Zimmermann, Kay Henning Brodersen, Jean-Philippe Pellet, Elias August, Joachim M. Buhmann:
Predicting Graduate-level Performance from Undergraduate Achievements. 357-358 - Irena Koprinska:
Mining Assessment and Teaching Evaluation Data of Regular, Advanced Stream Students. 359-360 - Agathe Merceron:
Investigating Usage of Resources in LMS with Specific Association Rules. 361-362 - Marta E. Zorrilla, Diego García-Saiz, José L. Balcázar:
Towards Parameter-free Data Mining: Mining Educational Data with Yacaree. 363-364 - Leigh Ann Sudol-DeLyser, Jonathan Steinhart:
Factors Impacting Novice Code Comprehension in a Tutor for Introductory Computer Science. 365-366 - Paul Salvador Inventado, Roberto Sebastian Legaspi, Merlin Suarez, Masayuki Numao:
Investigating the Transitions between Learning and Non-learning Activities as Students Learn Online. 367-368 - Sébastien Lallé, Vanda Luengo:
Learning Parameters for a Knowledge Diagnostic Tools in Orthopedic Surgery. 369-370 - Petr Jarusek, Radek Pelánek:
Problem Response Theory and its Application for Tutoring. 371-372 - Michael Yudelson, Philip I. Pavlik, Kenneth R. Koedinger:
Towards Better Understanding of Transfer in Cognitive Models of Practice. 373-374
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