Full papers have 25 minutes each (including questions); Short papers have 15 minutes each (including questions)
[click for a map of the conference location]

DAY 1: Wednesday, 6 July 2011

DAY 2: Thursday, 7 July 2011

DAY 3: Friday, 8 July 2011

List of Papers and Posters by Session

Session I: Predictive Modeling [↑]
Wednesday, July 6, 10:25–11:55
Chair: Ryan Bakker

• Instructional Factors Analysis: A Cognitive Model For Multiple Instructional Interventions
  Min Chi, Kenneth Koedinger, Geoff Gordon, Pamela Jordan and Kurt Vanlehn [pdf]
• Learning classifiers from a relational database of tutor logs
  Jack Mostow, José González-Brenes and Bao Hong Tan [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 [pdf]
• Prediction of Perceived Disorientation in Online Learning Environment with Random Forest Regression (Short)
  Gökhan Akçapınar, Erdal Coşgun and Arif Altun [pdf]

Session II: Temporal Issues in Student Modeling [↑]
Wednesday, July 6, 14:00-15:45
Chair: Alina Von Davier

• Does Time Matter? Modeling the Effect of Time with Bayesian Knowledge Tracing
  Yumeng Qiu, Yingmei Qi, Hanyuan Lu, Zachary Pardos and Neil Heffernan [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 [pdf]
• Automatically Detecting a Student’s Preparation for Future Learning: Help Use is Key
  Ryan S.J.D. Baker, Sujith Gowda and Albert Corbett [pdf]
• A Method for Finding Prerequisites Within a Curriculum (Short)
  Annalies Vuong, Tristan Nixon and Brendon Towle [pdf]
• Estimating Prerequisite Structure From Noisy Data (Short)
  Emma Brunskill [pdf]

Session III: Student Performance Mining [↑]
Wednesday, July 6, 16:15-17:25
Chair: Kenneth R. Koedinger

• Items, skills, and transfer models: which really matters for student modeling?
  Yue Gong and Joseph Beck [pdf]
• Predicting School Failure Using Data Mining (Short)
  Carlos Marquez-Vera, Cristobal Romero and Sebastián Ventura [pdf]
• Desperately Seeking Subscripts: Towards Automated Model Parameterization (Short)
  Jack Mostow, Yanbo Xu and Mdahaduzzaman Munna [pdf]
• What can closed sets of students and their marks say? (Short)
  Dmitry Ignatov, Serafima Mamedova, Nikita Romashkin and Ivan Shamshurin [pdf]

Session IV: Factorization Models [↑]
Thursday, July 7, 9:00-10:45
Chair: Osmar Zaiane

• Factorization Models for Forecasting Student Performance
  Nguyen Thai-Nghe, Tomáš Horváth and Lars Schmidt-Thieme [pdf]
• A Machine Learning Approach for Automatic Student Model Discovery
  Nan Li, William Cohen, Kenneth R. Koedinger and Noboru Matsuda [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 [pdf]
• Using Logistic Regression to Trace Multiple Sub-skills in a Dynamic Bayes Net (Short)
  Yanbo Xu and Jack Mostow [pdf]
• What’s an Expert? Using learning analytics to identify emergent markers of expertise through automated speech, sentiment and sketch analysis (Short)
  Marcelo Worsley and Paulo Blikstein [pdf]

Session V: User Interaction Issues [↑]
Thursday, July 7, 11:05-12:10
Chair: Arnon Hershkovitz

• A Framework for Capturing Distinguishing User Interaction Behaviors in Novel Interfaces
  Samad Kardan and Cristina Conati [pdf]
• Analyzing Participation of Students in Online Courses Using Social Network Analysis Techniques
  Reihaneh Rabbany Khorasgani, Mansoureh Takaffoli and Osmar Zaïane [pdf]
• Modeling students’ activity in online discussion forums: a strategy based on time series and agglomerative hierarchical clustering (Short)
  Germán Cobo, David García-Solórzano, Eugènia Santamaría, Jose Antonio Morán, Javier Melenchón and Carlos Monzo [pdf]

Session VI: Intelligent Tutoring [↑]
Thursday, July 7, 14:15-16:15
Chair: Michel Desmarais

• Spectral Clustering in Educational Data Mining
  Shubhendu Trivedi, Zachary Pardos, Gábor Sárközy and Neil Heffernan [pdf]
• How to Classify Tutorial Dialogue? Comparing Feature Vectors vs. Sequences
  José González-Brenes, Jack Mostow and Weisi Duan [pdf]
• Fair Blame Assignment in Student Modeling
  Kenneth Koedinger, Philip I. Pavlik Jr., John Stamper, Tristan Nixon and Steven Ritter [pdf]
• Exploring user data from a game-like math tutor: a case study in causal modeling (Short)
  Dovan Rai and Joseph Beck [pdf]
• Establishing the value of dynamic assessment in an online tutoring system (Short)
  Mingyu Feng, Neil Heffernan, Zachary Pardos and Cristina Heffernan [pdf]
• Automatic Generation of Proof Problems in Deductive Logic (Short)
  Behrooz Mostafavi, Tiffany Barnes and Marvin Croy [pdf]

Session VII: Mining Task-specific Student Strategies [↑]
Friday, July 8, 10:50-12:05
Chair: Jack Mostow

• Student Translations of Natural Language into Logic: The Grade Grinder Translation Corpus Release 1.0
  Dave Barker-Plummer, Richard Cox and Robert Dale [pdf]
• Evaluating a Bayesian Student Model of Decimal Misconceptions (Short)
  George Goguadze, Sergey Sosnovsky, Seiji Isotani and Bruce Mclaren [pdf]
• Analyzing Student Spatial Deployment in a Computer Laboratory (Short)
  Vladimir Ivančević, Milan Čeliković and Ivan Luković [pdf]
• How university entrants are choosing their department? Mining of university admission process with FCA taxonomies (Short)
  Nikita Romashkin, Dmitry Ignatov and Elena Kolotova [pdf]

Session VIII: Knowledge Tracing [↑]
Friday, July 8, 13:50-14:40
Chair: Cristobal Romero

• 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 [pdf]
• Monitoring Learners’ Proficiency: Weight Adaptation in the Elo Rating System (Short)
  Kelly Wauters, Piet Desmet and Wim Van Den Noortgate [pdf]
• A Dynamical System Model of Microgenetic Changes in Performance, Efficacy, Strategy Use and Value during Vocabulary Learning (Short)
  Philip I. Pavlik Jr. and Sue-Mei Wu [pdf]

Session IX: Nominees to Best Paper Awards [↑]
Friday, July 8, 15:00-16:15
Chair:Cristina Conati

• Conditions for effectively deriving a Q-Matrix from data with Non-negative Matrix Factorization
  Michel Desmarais [pdf]
• Analysing frequent sequential patterns of collaborative learning activity around an interactive tabletop
  Roberto Martinez Maldonado, Kalina Yacef, Judy Kay, Ahmed Kharrufa and Ammar Al-Qaraghuli [pdf]
• Acquiring Item Difficulty Estimates: a Collaborative Effort of Data and Judgment
  Kelly Wauters, Piet Desmet and Wim Van Den Noortgate [pdf]

Poster Session I [↑]
Wednesday, July 6, 11:55-13:00

• Goal Orientation and Changes of Carelessness over Consecutive Trials in Science Inquiry
  Arnon Hershkovitz, Ryan S.J.D. Baker, Janice Gobert and Michael Wixon [pdf]
• Towards improvements on domain-independent measurements for collaborative assessment
  Antonio R. Anaya and Jesús G. Boticario [pdf]
• A Java desktop tool for mining Moodle data
  Rafael Pedraza Perez, Cristobal Romero and Sebastián Ventura [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 [pdf]
• E-learning Web Miner: A data mining application to help instructors involved in virtual courses
  Diego García-Saiz and Marta Zorrilla [pdf]
• Computerized Coding System for Life Narratives to Assess Students’ Personality Adaption
  Qiwei He, Bernard Veldkamp and Gerben Westerhof [pdf]
• Partially Observable Sequential Decision Making for Problem Selection in an Intelligent Tutoring System
  Emma Brunskill and Stuart Russell [pdf]
• Variable Construction and Causal Modeling of Online Education Messaging Data: Initial Results
  Stephen Fancsali [pdf]
• The Hospital Classrooms Environments Challenge
  Carina González and Pedro A. Toledo [pdf]
• Logistic Regression in a Dynamic Bayes Net Models Multiple Subskills Better!
  Yanbo Xu and Jack Mostow [pdf]
• Studying the problem-solving strategies in the early stages of learning programming
  Edgar Cambranes-Martinez and Judith Good [pdf]
• Brick: Mining Pedagogically Interesting Sequential Patterns
  Anjo Anjewierden, Hannie Gijlers, Nadira Saab and Robert De Hoog [pdf]
• Intelligent evaluation of social knowledge building using conceptual maps with MLN
  Lorenzo Moreno and Carina Gonzalez, R. Estevez and B. Popescu [pdf]
• Identifying Influence Factors on Students Success by Subgroup Discovery
  Florian Lemmerich, Marianus Ifland and Frank Puppe [pdf]
• Analyzing University Data for Determining Student Profiles and Predicting Performance
  Dorina Kabakchieva, Kamelia Stefanova and Valentin Kisimov [pdf]

Poster Session II [↑]
Thursday, July 7, 12:10-13:15

• The EDM Vis Tool
  Matthew Johnson, Michael Eagle, Leena Joseph and Tiffany Barnes [pdf]
• Towards Modeling Forgetting and Relearning in ITS: Preliminary Analysis of ARRS Data
  Yutao Wang and Neil Heffernan [pdf]
• Quality Control and Data Mining Techniques Applied to Monitoring Scaled Scores
  Alina Von Davier [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 [pdf]
• Predicting graduate-level performance from undergraduate achievements
  Judith Zimmermann, Kay H. Brodersen, Jean-Philippe Pellet, Elias August and Joachim M. Buhmann [pdf]
• Mining Assessment and Teaching Evaluation Data of Regular and Advanced Stream Students
  Irena Koprinska [pdf]
• Investigating Usage of Resources in LMS with Specific Association Rules
  Agathe Merceron [pdf]
• Towards parameter-free data mining: Mining educational data with yacaree
  Marta E. Zorilla, Diego Garcia-Saiz and Jose L. Balcazar [pdf]
• Factors Impacting Novice Code Comprehension in a Tutor for Introductory Computer Science
  Leigh Ann Sudol-DeLyser and Jonathan Steinhart [pdf]
• Investigating the Transitions between Learning and Non-learning Activities as Students Learn Online
  Paul Salvador Inventado, Roberto Legaspi, Merlin Suarez and Masayuki Numao [pdf]
• Learning parameters for a knowledge diagnostic tools in orthopedic surgery
  Sebastien Lalle and Vanda Luengo [pdf]
• Problem Response Theory and its Application for Tutoring
  Petr Jarušek and Radek Pelánek [pdf]
• Towards Better Understanding of Transfer in Cognitive Models of Practice
  Michael Yudelson, Philip I. Pavlik and Kennth R. Koedinger [pdf]
• Mining Teaching Behaviors from Pedagogical Surveys
  Joana Barracosa and Claudia Antunes [pdf]
• Combining study of complex network and text mining analysis to understand growth mechanism of communities on SNS
  Osamu Yamakawa [pdf]