Proceedings

Citation Information

Pechenizkiy, M., Calders, T., Conati, C., Ventura, S., Romero , C., and Stamper, J. (Eds.) Proceedings of the 4th International Conference on Educational Data Mining.

Online Proceedings

Click here to download a PDF file of the full proceedings (~17.5M).

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Cover, Preface, Organization. Sponsors, Table of Contents

Pages i-xi [pdf]

Invited Talks (Abstracts)

Social Information Discovery
Bary Smith
Page 3 [abstract] [video]

On Exploration and Mining of Data in Educational Practice
Erik-Jan van der Linden
Page 5 [abstract] [video]

EDM and the 4th Paradigm of Scientific Discovery – Reflections on KDD Cup 2010
John Stamper
Page 7 [abstract] [video]


Full Papers [↑]

Factorization Models for Forecasting Student Performance
Nguyen Thai-Nghe, Tomáš Horváth and Lars Schmidt-Thieme
Pages 11-20 [pdf]

Analyzing Participation of Students in Online Courses Using Social Network Analysis Techniques
Reihaneh Rabbany Khorasgani, Mansoureh Takaffoli and Osmar Zaïane
Pages 21-30 [pdf]

A Machine Learning Approach for Automatic Student Model Discovery
Nan Li, William Cohen, Kenneth R. Koedinger and Noboru Matsuda
Pages 31-40 [pdf]

Conditions for Effectively Deriving a Q-Matrix from Data with Non-negative Matrix Factorization.Best Paper Award
Michel Desmarais
Pages 41-50 [pdf]

Student Translations of Natural Language into Logic: The Grade Grinder Translation Corpus Release 1.0
Dave Barker-Plummer, Richard Cox and Robert Dale
Pages 51-60 [pdf]

Instructional Factors Analysis: A Cognitive Model For Multiple Instructional Interventions
Min Chi, Kenneth Koedinger, Geoff Gordon, Pamela Jordan and Kurt Vanlehn
Pages 61-70 [pdf]

The Simple Location Heuristic is Better at Predicting Students’ Changes in Error Rate Over Time Compared to the Simple Temporal Heuristic
Adaeze Nwaigwe and Kenneth Koedinger
Pages 71-80 [pdf]

Items, Skills, and Transfer Models: Which really matters for student modeling?
Yue Gong and Joseph Beck
Pages 81-90 [pdf]

Avoiding Problem Selection Thrashing with Conjunctive Knowledge Tracing
Kenneth Koedinger, Philip I. Pavlik Jr., John Stamper, Tristan Nixon and Steven Ritter
Pages 91-100 [pdf]

Less is More: Improving the Speed and Prediction Power of Knowledge Tracing by Using Less Data
Bahador Nooraei B., Zachary Pardos, Neil Heffernan and Ryan Baker
Pages 101-110 [pdf]

Analysing Frequent Sequential Patterns of Collaborative Learning Activity Around an Interactive Tabletop.Nominee for Best Paper Award
Roberto Martinez Maldonado, Kalina Yacef, Judy Kay, Ahmed Kharrufa and Ammar Al-Qaraghuli
Pages 111-120 [pdf]

Acquiring Item Difficulty Estimates: a Collaborative Effort of Data and Judgment.Nominee for Best Paper Award
Kelly Wauters, Piet Desmet and Wim Van Den Noortgate
Pages 121-128 [pdf]

Spectral Clustering in Educational Data Mining
Shubhendu Trivedi, Zachary Pardos, Gábor Sárközy and Neil Heffernan
Pages 129-138 [pdf]

Does Time Matter? Modeling the Effect of Time with Bayesian Knowledge Tracing
Yumeng Qiu, Yingmei Qi, Hanyuan Lu, Zachary Pardos and Neil Heffernan
Pages 139-148 [pdf]

Learning Classifiers From a Relational Database of Tutor Logs
Jack Mostow, José González-Brenes and Bao Hong Tan
Pages 149-158 [pdf]

A Framework for Capturing Distinguishing User Interaction Behaviors in Novel Interfaces
Samad Kardan and Cristina Conati
Pages 159-168 [pdf]

How to Classify Tutorial Dialogue? Comparing Feature Vectors vs. Sequences
José González-Brenes, Jack Mostow and Weisi Duan
Pages 169-178 [pdf]

Automatically Detecting a Student’s Preparation for Future Learning: Help Use is Key
Ryan S.J.D. Baker, Sujith Gowda and Albert Corbett
Pages 179-188 [pdf]

Ensembling Predictions of Student Post-Test Scores for an Intelligent Tutoring System
Zachary Pardos, Sujith Gowda, Ryan S.J.D. Baker and Neil Heffernan
Pages 189-198 [pdf]

Improving Models of Slipping, Guessing, and Moment-By-Moment Learning with Estimates of Skill Difficulty
Sujith M. Gowda, Jonathan P. Rowe, Ryan S.J.D. Baker, Min Chi and Kenneth R. Koedinger
Pages 199-208 [pdf]

Short Papers [↑]

A Method for Finding Prerequisites Within a Curriculum
Annalies Vuong, Tristan Nixon and Brendon Towle
Pages 211-216 [pdf]

Estimating Prerequisite Structure From Noisy Data
Emma Brunskill
Pages 217-222 [pdf]

What Can Closed Sets of Students and Their Marks Say?
Dmitry Ignatov, Serafima Mamedova, Nikita Romashkin and Ivan Shamshurin
Pages 223-228 [pdf]

How University Entrants are Choosing Their Department? Mining of university admission process with FCA taxonomies
Nikita Romashkin, Dmitry Ignatov and Elena Kolotova
Pages 229-234 [pdf]

What’s an Expert? Using learning analytics to identify emergent markers of expertise through automated speech, sentiment and sketch analysis
Marcelo Worsley and Paulo Blikstein
Pages 235-240 [pdf]

Using Logistic Regression to Trace Multiple Sub-skills in a Dynamic Bayes Net
Yanbo Xu and Jack Mostow
Pages 241-246 [pdf]

Monitoring Learners’ Proficiency: Weight adaptation in the Elo rating system
Kelly Wauters, Piet Desmet and Wim Van Den Noortgate
Pages 247-252 [pdf]

Modeling Students’ Activity in Online Discussion Forums: A strategy based on time series and agglomerative hierarchical clustering
Germán Cobo, David García-Solórzano, Eugènia Santamaría, Jose Antonio Morán, Javier Melenchón and Carlos Monzo
Pages 253-258 [pdf]

Prediction of Perceived Disorientation in Online Learning Environment with Random Forest Regression
Gökhan Akçapınar, Erdal Coşgun and Arif Altun
Pages 259-264 [pdf]

Analyzing Student Spatial Deployment in a Computer Laboratory
Vladimir Ivančević, Milan Čeliković and Ivan Luković
Pages 265-270 [pdf]

Predicting School Failure Using Data Mining
Carlos Marquez-Vera, Cristobal Romero and Sebastián Ventura
Pages 271-276 [pdf]

A Dynamical System Model of Microgenetic Changes in Performance, Efficacy, Strategy Use and Value during Vocabulary Learning
Philip I. Pavlik Jr. and Sue-Mei Wu
Pages 277-282 [pdf]

Desperately Seeking Subscripts: Towards automated model parameterization
Jack Mostow, Yanbo Xu and Mdahaduzzaman Munna
Pages 283-288 [pdf]

Automatic Generation of Proof Problems in Deductive Logic
Behrooz Mostafavi, Tiffany Barnes and Marvin Croy
Pages 289-294 [pdf]

Comparing of Traditional Assessment with Dynamic Testing in a Tutoring System
Mingyu Feng, Neil Heffernan, Zachary Pardos and Cristina Heffernan
Pages 295-300 [pdf]

Evaluating a Bayesian Student Model of Decimal Misconceptions
George Goguadze, Sergey Sosnovsky, Seiji Isotani and Bruce Mclaren
Pages 301-306 [pdf]

Exploring User Data From a Game-like Math Tutor: A case study in causal modeling
Dovan Rai and Joseph Beck
Pages 307-313 [pdf]

Posters [↑]

Goal Orientation and Changes of Carelessness over Consecutive Trials in Science Inquiry
Arnon Hershkovitz, Ryan S.J.D. Baker, Janice Gobert and Michael Wixon

Pages 315-316 [pdf]

Towards Improvements on Domain-independent Measurements for Collaborative Assessment
Antonio R. Anaya and Jesús G. Boticario

Pages 317-318 [pdf]

A Java Desktop Tool for Mining Moodle Data
Rafael Pedraza Perez, Cristobal Romero and Sebastián Ventura

Pages 319-320 [pdf]

Using Data Mining in a Recommender System to Search for Learning Objects in Repositories
Alfredo Zapata Gonzalez, Victor Hugo Menéndez Domínguez, Manuel Prieto and Cristobal Romero

Pages 321-322 [pdf]

E-learning Web Miner: A data mining application to help instructors involved in virtual courses
Diego García-Saiz and Marta Zorrilla

Pages 323-324 [pdf]

Computerized Coding System for Life Narratives to Assess Students’ Personality Adaption
Qiwei He, Bernard Veldkamp and Gerben Westerhof

Pages 325-326 [pdf]

Partially Observable Sequential Decision Making for Problem Selection in an Intelligent Tutoring System
Emma Brunskill and Stuart Russell

Pages 327-328 [pdf]

Mining Teaching Behaviors from Pedagogical Surveys
Joana Barracosa and Claudia Antunes
Pages 329-330 [pdf]

Variable Construction and Causal Modeling of Online Education Messaging Data: Initial Results
Stephen Fancsali

Pages 331-332 [pdf]

The Hospital Classrooms Environments Challenge
Carina González and Pedro A. Toledo

Pages 333-334 [pdf]

Combining Study of Complex Network and Text Mining Analysis to Understand Growth Mechanism of Communities on SNS
Osamu Yamakawa
Pages 335-336 [pdf]

Logistic Regression in a Dynamic Bayes Net Models Multiple Subskills Better!
Yanbo Xu and Jack Mostow

Pages 337-338 [pdf]

Studying the Problem-solving Strategies in the Early Stages of Learning Programming
Edgar Cambranes-Martinez and Judith Good

Pages 339-340 [pdf]

Brick: Mining pedagogically interesting sequential patterns
Anjo Anjewierden, Hannie Gijlers, Nadira Saab and Robert De Hoog

Pages 341-342 [pdf]

Intelligent Evaluation of Social Knowledge Building Using Conceptual Maps with MLN
Lorenzo Moreno and Carina Gonzalez, R. Estevez and B. Popescu

Pages 343-344 [pdf]

Identifying Influence Factors on Students Success by Subgroup Discovery
Florian Lemmerich, Marianus Ifland and Frank Puppe

Pages 345-346 [pdf]

Analyzing University Data for Determining Student Profiles and Predicting Performance
Dorina Kabakchieva, Kamelia Stefanova and Valentin Kisimov

Pages 347-348 [pdf]

The EDM Vis Tool
Matthew Johnson, Michael Eagle, Leena Joseph and Tiffany Barnes
Pages 349-350 [pdf]

Towards Modeling Forgetting and Relearning in ITS: Preliminary Analysis of ARRS Data
Yutao Wang and Neil Heffernan
Pages 352-352 [pdf]

Quality Control and Data Mining Techniques Applied to Monitoring Scaled Scores
Alina Von Davier
Pages 353-354 [pdf]

eLAT: An Exploratory Learning Analytics Tool for Reflection and Iterative Improvement of Technology Enhanced Learning
Anna Lea Dyckhoff, Dennis Zielke, Mohamed Amine Chatti and Ulrik Schroeder
Pages 355-356 [pdf]

Predicting graduate-level performance from undergraduate achievements
Judith Zimmermann, Kay H. Brodersen, Jean-Philippe Pellet, Elias August and Joachim M. Buhmann
Pages 357-358 [pdf]

Mining Assessment and Teaching Evaluation Data of Regular and Advanced Stream Students
Irena Koprinska
Pages 359-360 [pdf]

Investigating Usage of Resources in LMS with Specific Association Rules
Agathe Merceron
Pages 361-362 [pdf]

Towards Parameter-free Data Mining: Mining educational data with yacaree
Marta E. Zorilla, Diego Garcia-Saiz and Jose L. Balcazar
Pages 363-364 [pdf]

Factors Impacting Novice Code Comprehension in a Tutor for Introductory Computer Science
Leigh Ann Sudol-DeLyser and Jonathan Steinhart
Pages 365-366 [pdf]

Investigating the Transitions between Learning and Non-learning Activities as Students Learn Online
Paul Salvador Inventado, Roberto Legaspi, Merlin Suarez and Masayuki Numao
Pages 367-368 [pdf]

Learning Parameters for a Knowledge Diagnostic Tools in Orthopedic Surgery
Sebastien Lalle and Vanda Luengo
Pages 369-370 [pdf]

Problem Response Theory and its Application for Tutoring
Petr Jarušek and Radek Pelánek
Pages 371-372 [pdf]

Towards Better Understanding of Transfer in Cognitive Models of Practice
Michael Yudelson, Philip I. Pavlik and Kennth R. Koedinger
Pages 373-374 [pdf]