The 6th International Conference on Educational Data Mining

EDM 2013

This page holds the proceedings for the 6th International Conference on Educational Data Mining. The conference will be held on July 6 - 9, 2013, in Memphis, Tennessee, USA.

Citation Information

D’Mello, S. K., Calvo, R. A., and Olney, A. (eds.) Proceedings of the 6th International Conference on Educational Data Mining.

Full Proceedings

Front Matter (Preface, Contents, etc)


Stealth Assessment in Games: Why, What, and How
Valerie Shute
Page 1

Discovering the Structure of Mathematical Problem Solving
John R. Anderson
Page 2

EDM in a Complex and Changing World
Ryan Baker
Page 3

Oral Presentations (Full Papers)

Limits to accuracy: how well can we do at student modeling?
Joseph Beck and Xiaolu Xiong
Pages 4-11

Student Profiling from Tutoring System Log Data: When do Multiple Graphical Representations Matter?
Ryan Carlson, Konstantin Genin, Martina Rau, and Richard Scheines
Pages 12-19

Unsupervised Classification of Student Dialogue Acts with Query-Likelihood Clustering
Aysu Ezen-Can and Kristy Elizabeth Boyer
Pages 20-27

A Spectral Learning Approach to Knowledge Tracing
Mohammad H. Falakmasir, Zachary A. Pardos, Geoffrey J. Gordon, and Peter Brusilovsky
Pages 28-34

Optimal and Worst-Case Performance of Mastery Learning Assessment with Bayesian Knowledge Tracing
Stephen Fancsali, Tristan Nixon, and Steven Ritter
Pages 35-42

Automatically Recognizing Facial Expression: Predicting Engagement and Frustration
Joseph Grafsgaard, Joseph B. Wiggins, Kristy Elizabeth Boyer, Eric N. Wiebe, and James Lester
Pages 43-50

Investigating the Solution Space of an Open-Ended Educational Game Using Conceptual Feature Extraction
Erik Harpstead, Christopher J. MacLellan, Kenneth R. Koedinger, Vincent Aleven, Steven P. Dow, and Brad A. Myers
Pages 51-58

Extending the Assistance Model: Analyzing the Use of Assistance over Time
William Hawkins, Neil Heffernan, Yutao Wang, and Ryan Baker
Pages 59-66

Differential Pattern Mining of Students' Handwritten Coursework
James Herold, Alex Zundel, and Thomas Stahovich
Pages 67-73

Predicting Future Learning Better Using Quantitative Analysis of Moment-by-Moment Learning
Arnon Hershkovitz, Ryan Baker, Sujith M Gowda, and Albert T. Corbett
Pages 74-81

InVis: An Interactive Visualization Tool for Exploring Interaction Networks
Matthew Johnson, Michael Eagle, and Tiffany Barnes
Pages 82-89

Tag-Aware Ordinal Sparse Factor Analysis for Learning and Content Analytics
Andrew Lan, Christoph Studer, Andrew Waters, and Richard Baraniuk
Pages 90-97

Discovering Student Models with a Clustering Algorithm Using Problem Content
Nan Li, William Cohen, and Kenneth R. Koedinger
Pages 98-105

Predicting Player Moves in an Educational Game: A Hybrid Approach
Yun-En Liu, Travis Mandel, Eric Butler, Erik Andersen, Eleanor O'Rourke, Emma Brunskill, and Zoran Popovic
Pages 106-113

Sequences of Frustration and Confusion, and Learning
Zhongxiu Liu, Visit Pataranutaporn, Jaclyn Ocumpaugh, and Ryan Baker
Pages 114-120

Data Mining in the Classroom: Discovering Groups' Strategies at a Multi-tabletop Environment
Roberto Martinez-Maldonado, Kalina Yacef, and Judy Kay
Pages 121-128

Meta-Reasoning Algorithm for Improving Analysis of Student Interactions with Learning Objects using Supervised Learning
L. Dee Miller and Leen-Kiat Soh
Pages 129-136

Adapting Bayesian Knowledge Tracing to a Massive Open Online Course in edX
Zachary Pardos, Yoav Bergner, Daniel Seaton, and David Pritchard
Pages 137-144

Modeling and Optimizing Forgetting and Spacing Effects during Musical Interval Training
Philip I. Pavlik, Henry Hua, Jamal Williams, and Gavin Bidelman
Pages 145-152

Tuned Models of Peer Assessment in MOOCs
Chris Piech, Jon Huang, Zhenghao Chen, Chuong Do, Andrew Ng, and Daphne Koller
Pages 153-160

Does Representational Understanding Enhance Fluency - Or Vice Versa? Searching for Mediation Models
Martina Rau, Richard Scheines, Vincent Aleven, and Nikol Rummel
Pages 161-168

Predicting Standardized Test Scores from Cognitive Tutor Interactions
Steve Ritter, Ambarish Joshi, Stephen Fancsali, and Tristan Nixon
Pages 169-176

Predicting College Enrollment from Student Interaction with an Intelligent Tutoring System in Middle School
Maria Ofelia Clarissa San Pedro, Ryan Baker, Alex Bowers, and Neil Heffernan
Pages 177-184

Incorporating Scaffolding and Tutor Context into Bayesian Knowledge Tracing to Predict Inquiry Skill Acquisition
Michael Sao Pedro, Ryan Baker, and Janice Gobert
Pages 185-192

Applying three models of learning to individual student log data
Brett van de Sande
Pages 193-199

Evaluating Topic-Word Review Analysis for Understanding Student Peer Review Performance
Wenting Xiong and Diane Litman
Pages 200-207

Mining Social Deliberation in Online Communication -- If You Were Me and I Were You
Xiaoxi Xu, Tom Murray, Beverly Park Woolf, and David Smith
Pages 208-215

Oral Presentations (Short Papers)

Paragraph Specific N-Gram Approaches to Automatically Assessing Essay Quality
Scott Crossley, Caleb Defore, Kris Kyle, Jianmin Dai, and Danielle S. Mcnamara
Pages 216-219

Degeneracy in Student Modeling with Dynamic Bayesian Networks in Intelligent Edu-Games
Alireza Davoodi and Cristina Conati
Pages 220-223

Clustering and Visualizing Study State Sequences
Michel Desmarais and Francois Lemieux
Pages 224-227

Analyzing the Mental Health of Engineering Students using Classification and Regression
Melissa Deziel, Dayo Olawo, Lisa Truchon, and Lukasz Golab
Pages 228-231

Hints: You Can't Have Just One
Ilya Goldin, Kenneth Koedinger, and Vincent Aleven
Pages 232-235

What and When do Students Learn? Fully Data-Driven Joint Estimation of Cognitive and Student Models
Jose Gonzalez-Brenes and Jack Mostow
Pages 236-239

An Investigation of Psychometric Measures for Modelling Academic Performance in Tertiary Education
Geraldine Gray, Colm McGuinness, and Philip Owende
Pages 240-243

Modeling Affect in Student-driven Learning Scenarios
Paul Salvador Inventado, Roberto Legaspi, Rafael Cabredo, and Masayuki Numao
Pages 244-247

An Algorithm for Reducing the Complexity of Interaction Networks
Matthew Johnson, Michael Eagle, John Stamper, and Tiffany Barnes
Pages 248-251

Mining Temporally-Interesting Learning Behavior Patterns
John Kinnebrew, Daniel Mack, and Gautam Biswas
Pages 252-255

Modeling Students' Learning and Variability of Performance in Problem Solving
Radek Pelanek, Petr Jarusek, and Matej Klusacek
Pages 256-259

Estimating Student Knowledge from Paired Interaction Data
Anna Rafferty, Jodi Davenport, and Emma Brunskill
Pages 260-263

Using a Lexical Analysis of Student's Self-Explanation to Predict Course Performance
Nicholas Rhodes, Matthew Ung, Alexander Zundel, Jim Herold, and Thomas Stahovich
Pages 264-267

A meta-learning approach for recommending a subset of white-box classification algorithms for Moodle datasets
Cristobal Romero, Juan Luis Olmo, and Sebastian Ventura
Pages 268-271

Investigating the Effects of Off-Task Personalization on System Performance and Attitudes within a Game-Based Environment
Erica Snow, G. Tanner Jackson, Laura Varner, and Danielle S. McNamara
Pages 272-275

Students' Walk through Tutoring: Using a Random Walk Analysis to Profile Students
Erica L. Snow, Aaron D. Likens, G. Tanner Jackson, and Danielle S. McNamara
Pages 276-279

From "Events" to "Activities": Creating Abstraction Techniques for Mining Students' Model-Based Inquiry Processes
Vilaythong Southavilay, Lina Markauskaite, and Michael Jacobson
Pages 280-283

A Comparison of Model Selection Metrics in DataShop
John Stamper, Kenneth Koedinger, and Elizabeth Mclaughlin
Pages 284-287

Measuring the moment of learning with an information-theoretic approach
Brett van de Sande
Pages 288-291

Test-size Reduction for Concept Estimation
Divyanshu Vats, Christoph Studer, Andrew S. Lan, Lawrence Carin, and Richard Baraniuk
Pages 292-295

Reading into the Text: Investigating the Influence of Text Complexity on Cognitive Engagement
Benjamin Vega, Shi Feng, Blair Lehman, Art Graesser, and Sidney D'Mello
Pages 296-299

Using Students' Programming Behavior to Predict Success in an Introductory Mathematics Course
Arto Vihavainen, Matti Luukkainen, and Jaakko Kurhila
Pages 300-303

Poster Presentations (Regular Papers)

Do students really learn an equal amount independent of whether they get an item correct or wrong?
Seth Adjei, Seye Salehizadeh, Yutao Wang, and Neil Heffernan
Pages 304-305

Analysis of students clustering results based on Moodle log data
Angela Bovo, Stephane Sanchez, Olivier Heguy, and Yves Duthen
Pages 306-307

Mining the Impact of Course Assignments on Student Performance
Ritu Chaturvedi and Christie Ezeife
Pages 308-309

Mining User's Behaviors in Intelligent Educational Games: Prime Climb a Case Study
Alireza Davoodi, Samad Kardan, and Cristina Conati
Pages 310-311

Bringing student backgrounds online: MOOC user demographics, site usage, and online learning
Jennifer Deboer, Glenda S. Stump, Daniel Seaton, Andrew Ho, David E. Pritchard, and Lori Breslow
Pages 312-313

Detecting Player Goals from Game Log Files
Kristen Dicerbo and Khusro Kidwai
Pages 314-315

A prediction model that uses the sequence of attempts and hints to better predict knowledge: "Better to attempt the problem first, rather than ask for a hint"
Hien Duong, Linglong Zhu, Yutao Wang, and Neil Heffernan
Pages 316-317

Towards the development of a classification service for predicting students' performance
Diego Garcia-Saiz and Marta Zorrilla
Pages 318-319

Identifying and Visualizing the Similarities Between Course Content at a Learning Object, Module and Program Level
Kyle Goslin and Markus Hofmann
Pages 320-321

Using ITS Generated Data to Predict Standardized Test Scores
Kim Kelly, Ivon Arroyo, and Neil Heffernan
Pages 322-323

Joint Topic Modeling and Factor Analysis of Textual Information and Graded Response Data
Andrew Lan, Christoph Studer, Andrew Waters, and Richard Baraniuk
Pages 324-325

Component Model in Discourse Analysis
Haiying Li, Art Graesser, and Zhiqiang Cai
Pages 326-327

Modeling student retention in an environment with delayed testing
Shoujing Li, Xiaolu Xiong, and Joseph Beck
Pages 328-329

Predicting Group Programming Project Performance using SVN Activity Traces
Sen Liu, Jihie Kim, and Sofus Macskassy
Pages 330-331

Toward Predicting Test Score Gains With Online Behavior Data of Teachers
Keith Maull and Tamara Sumner
Pages 332-333

Domain-Independent Proximity Measures in Intelligent Tutoring Systems
Bassam Mokbel, Sebastian Gross, Benjamin Paassen, Niels Pinkwart, and Barbara Hammer
Pages 334-335

Exploring Exploration: Inquiries into Exploration Behavior in Complex Problem Solving Assessment
Jonas Muller, Andre Kretzschmar, and Samuel Greiff
Pages 336-337

The Complex Dynamics of Aggregate Learning Curves
Tristan Nixon, Stephen Fancsali, and Steven Ritter
Pages 338-339

Extracting Time-evolving Latent Skills from Examination Time Series
Shinichi Oeda and Kenji Yamanishi
Pages 340-341

Uncovering Class-Wide Patterns in Responses to True/False Questions
Andrew Pawl
Pages 342-343

Causal Modeling to Understand the Relationship between Student Attitudes, Affect and Outcomes
Dovan Rai, Joseph Beck, and Ivon Arroyo
Pages 344-345

Determining Review Coverage by Extracting Topic Sentences Using A Graph-based Clustering Approach
Lakshmi Ramachandran, Balaraman Ravindran, and Edward Gehringer
Pages 346-347

Affective State Detection in Educational Systems through Mining Multimodal Data Sources
Sergio Salmeron-Majadas, Olga C. Santos, and Jesus G. Boticario
Pages 348-349

Exploring the relationship between course structure and etext usage in blended and open online courses
Daniel T. Seaton, Yoav Bergner, and David E. Pritchard
Pages 350-351

Data preprocessing using a priori knowledge
Jean Simon
Pages 352-353

Discovering the Relationship between Student Effort and Ability for Predicting the Performance of Technology-Assisted Learning in a Mathematics After-School Program
Jun Xie, Xudong Huang, Henry Hua, Jin Wang, Quan Tang, Scotty Craig, Arthur Graesser, King-Ip Lin, and Xiangen Hu
Pages 354-355

Using Item Response Theory to Refine Knowledge Tracing
Yanbo Xu and Jack Mostow
Pages 356-357

Estimating the benefits of student model improvements on a substantive scale
Michael Yudelson and Kenneth Koedinger
Pages 358-359

A Dynamic Group Composition Method to Refine Collaborative Learning Group Formation
Zhilin Zheng
Pages 360-361

Poster Presentations (Late Breaking Results Papers)

Educational Data Mining: Illuminating Student Learning Pathways in an Online Fraction Game
Ani Aghababyan, Taylor Martin, Nicole Forsgren Velasquez, and Philip Janisiewicz
Pages 362-363

Automatic Gaze-Based Detection of Mind Wandering during Reading
Sidney D'Mello, Jonathan Cobian, and Matthew Hunter
Pages 364-365

DARE: Deep Anaphora Resolution in Dialogue based Intelligent Tutoring Systems
Nobal B. Niraula, Vasile Rus, and Dan Stefanescu
Pages 366-367

Are You Committed? Investigating Interactions among Reading Commitment, Natural Language Input, and Students' Learning Outcomes
Laura K. Varner, G. Tanner Jackson, Erica L. Snow, and Danielle S. McNamara
Pages 368-369

Using Multi-level Models to Assess Data From an Intelligent Tutoring System
Jennifer Weston and Danielle S. Mcnamara
Pages 370-371

Oral Presentations (Young Researchers Track)

Evaluation of Automatically Generated Hint Feedback
Michael Eagle and Tiffany Barnes
Pages 372-374

Analysing Engineering Expertise of High School Students Using Eye Tracking and Multimodal Learning Analytics
July Gomes, Mohamed Yassine, Marcelo Worsley, and Paulo Blikstein
Pages 375-377

Investigating the efficacy of algorithmic student modelling in predicting students at risk of failing in tertiary education
Geraldine Gray, Colm McGuinness, and Philip Owende
Pages 378-380

BOTS: Harnessing Player Data and Player Effort to Create and Evaluate Levels in a Serious Game
Andrew Hicks
Pages 381-383

Helping Students Manage Personalized Learning Scenarios
Paul Salvador Inventado, Roberto Legaspi, and Masayuki Numao
Pages 384-386

Determining Problem Selection for a Logic Proof Tutor
Behrooz Mostafavi and Tiffany Barnes
Pages 387-389

Interactive Events/Demos

Demonstration of a Moodle student monitoring web application
Angela Bovo, Stephane Sanchez, Olivier Heguy, and Yves Duthen
Pages 390-391

Students Activity Visualization Tool
Marius Stefan Chiritoiu, Cristian Mihaescu, and Dumitru Dan Burdescu
Pages 392-393

FlexCCT: Software for Maximum Likelihood Cultural Consensus Theory
Stephen France, Mahyar Vaghefi, and William Batchelder
Pages 394-395

Visual Exploration of Interactions and Performance with LeMo
Agathe Merceron, Sebastian Schwarzrock, Margarita Elkina, Andreas Pursian, Liane Beuster, Albrecht Fortenbacher, Leonard Kappe, and Boris Wenzlaff
Pages 396-397

Project CASSI: A Social-Graph Based Tool for Classroom Behavior Analysis and Optimization
Robert Olson, Zachary Daily, John Malayny, and Robert Szkutak
Pages 398-399

A Moodle Block for Selecting, Visualizing and Mining Students' Usage Data
Cristobal Romero, Cristobal Castro, and Sebastian Ventura
Pages 400-401

SEMILAR: A Semantic Similarity Toolkit for Assessing Students' Natural Language Inputs
Vasile Rus, Rajendra Banjade, Mihai Lintean, Nobal Niraula, and Dan Stefanescu
Pages 402-403

Gathering Emotional Data from Multiple Sources
Sergio Salmeron-Majadas, Olga C. Santos, Jesus G. Boticario, Raul Cabestrero, Pilar Quiros, and Mar Saneiro
Pages 404-405

A Tool for Speech Act Classification Using Interactive Machine Learning
Borhan Samei, Fazel Keshtkar, and Arthur C. Graesser
Pages 406-407

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