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Proceedings

Citation Information

Baker, R.S.J.d., Merceron, A., Pavlik, P.I. Jr. (Eds.) Proceedings of the
3rd International Conference on Educational Data Mining.

Online Proceedings

Proceedings are available here, with single talk pdf files at the bottom of the page. Full proceedings are available for downloads in two formats:

  • One PDF – right-click and save using this link (~8MB)
  • Portfolio PDF – This file is much easier to navigate, and it might be edited with comments and highlights; it is recommended to work with this format during the conference. Adobe Reader version 8 and up is needed (latest version may be freely download from here). Right-click and save using this link (~9MB)

Preface and Table of Contents

Pages i-xii [pdf]

Regular Papers

Effort-based Tutoring: An Empirical Approach to Intelligent Tutoring.Awarded Best Paper
Ivon Arroyo, Hasmik Mehranian and Beverly P. Woolf
Pages 1-10 [pdf]

An Analysis of the Differences in the Frequency of Students’ Disengagement in Urban, Rural, and Suburban High Schools
Ryan S.J.d. Baker and Sujith M. Gowda
Pages 11-20 [pdf]

On the Faithfulness of Simulated Student Performance Data
Michel C. Desmarais and Ildiko Pelczer
Pages 21-30 [pdf]

Mining Bodily Patterns of Affective Experience during Learning
Sidney D’Mello and Art Graesser
Pages 31-40 [pdf]

Can We Get Better Assessment From A Tutoring System Compared to Traditional Paper Testing? Can We Have Our Cake (Better Assessment) and Eat It too (Student Learning During the Test)?
Mingyu Feng and Neil Heffernan
Pages 41-50 [pdf]

Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System
Jon M. Fincham, John R. Anderson, Shawn Betts and Jennifer Ferris
Pages 51-60 [pdf]

Using multiple Dirichlet distributions to improve parameter plausibility
Yue Gong, Joseph E. Beck and Neil T. Heffernan
Pages 61-70 [pdf]

Examining Learner Control in a Structured Inquiry Cycle Using Process Mining
Larry Howard, Julie Johnson and Carin Neitzel
Pages 71-80 [pdf]

Analysis of Productive Learning Behaviors in a Structured Inquiry Cycle Using Hidden Markov Models
Hogyeong Jeong, Gautam Biswas, Julie Johnson and Larry Howard
Pages 81-90 [pdf]

Data Mining for Generating Hints in a Python Tutor
Anna Katrina Dominguez, Kalina Yacef and James R. Curran
Pages 91-100 [pdf]

Off Topic Conversation in Expert Tutoring: Waste of Time or Learning Opportunity
Blair Lehman, Whitney Cade and Andrew Olney
Pages 101-110 [pdf]

Sentiment Analysis in Student Experiences of Learning
Sunghwan Mac Kim and Rafael A. Calvo
Pages 111-120 [pdf]

Online Curriculum Planning Behavior of Teachers.Best Paper Nominee
Keith E. Maull, Manuel Gerardo Saldivar and Tamara Sumner
Pages 121-130 [pdf]

A Data Model to Ease Analysis and Mining of Educational Data
André Krüger, Agathe Merceron and Benjamin Wolf
Pages 131-140 [pdf]

Identifying Students’ Inquiry Planning Using Machine Learning
Orlando Montalvo, Ryan S.J.d. Baker, Michael A. Sao Pedro, Adam Nakama and Janice D. Gobert
Pages 141-150 [pdf]

Skill Set Profile Clustering: The Empty K-Means Algorithm with Automatic Specification of Starting Cluster Centers
Rebecca Nugent, Nema Dean and Elizabeth Ayers
Pages 151-160 [pdf]

Navigating the parameter space of Bayesian Knowledge Tracing models: Visualizations of the convergence of the Expectation Maximization algorithm
Zachary Pardos and Neil Heffernan
Pages 161-170 [pdf]

Mining Rare Association Rules from e-Learning Data
Cristóbal Romero, José Raúl Romero, Jose María Luna and Sebastián Ventura
Pages 171-180 [pdf]

Using Text Replay Tagging to Produce Detectors of Systematic Experimentation Behavior Patterns
Michael Sao Pedro, Ryan S.J.d. Baker, Orlando Montalvo, Adam Nakama and Janice D. Gobert
Pages 181-190 [pdf]

Identifying High-Level Student Behavior Using Sequence-based Motif Discovery
David H. Shanabrook, David G. Cooper, Beverly Park Woolf and Ivon Arroyo
Pages 191-200 [pdf]

Unsupervised Discovery of Student Strategies
Benjamin Shih, Kenneth R. Koedinger and Richard Scheines
Pages 201-210 [pdf]

Assessing Reviewer’s Performance Based on Mining Problem Localization in Peer-Review Data
Wenting Xiong, Diane Litman and Christian Schunn
Pages 211-220 [pdf]

Using Numeric Optimization To Refine Semantic User Model Integration Of Adaptive Educational Systems
Michael Yudelson, Peter Brusilovsky, Antonija Mitrovic and Moffat Mathews
Pages 221-230 [pdf]

Young Researcher Track Papers

An Annotations Approach to Peer Tutoring
John Champaign and Robin Cohen
Pages 231-240 [pdf]

Using Educational Data Mining Methods to Study the Impact of Virtual Classroom in E-Learning
Mohammad Hassan Falakmasir and Jafar Habibi
Pages 241-248 [pdf]

Mining Students’ Interaction Data from a System that Support Learning by Reflection
Rajibussalim
Pages 249-256 [pdf]

Process Mining to Support Students’ Collaborative Writing.Awarded Best YRT Paper
Vilaythong Southavilay, Kalina Yacef and Rafael A. Callvo
Pages 257-266 [pdf]

Poster Abstracts

Automatic Rating of User-Generated Math Solutions
Turadg Aleahmad, Vincent Aleven and Robert Kraut
Pages 267-268 [pdf]

Tracking Students’ Inquiry Paths through Student Transition Analysis
Matt Bachmann, Janice Gobert and Joseph Beck
Pages 269-270 [pdf]

DISCUSS: Enabling Detailed Characterization of Tutorial Interactions Through Dialogue Annotation
Lee Becker, Wayne H. Ward and Sarel vanVuuren
Pages 271-272 [pdf]

Data Mining of both Right and Wrong Answers from a Mathematics and a Science M/C Test given Collectively to 11,228 Students from India in years 4, 6 and 8
James Bernauer and Jay Powell
Pages 273-274 [pdf]

Mining information from tutor data to improve pedagogical content knowledge
Suchismita Srinivas, Muntaquim Bagadia and Anupriya Gupta
Pages 275-276 [pdf]

Clustering Student Learning Activity Data
Haiyun Bian
Pages 277-278 [pdf]

Analyzing Learning Styles using Behavioral Indicators in Web based Learning Environments
Nabila Bousbia, Jean-Marc Labat, Amar Balla and Issam Rebai
Pages 279-280 [pdf]

Using Topic Models to Bridge Coding Schemes of Differing Granularity
Whitney L. Cade and Andrew Olney
Pages 281-282 [pdf]

A Distillation Approach to Refining Learning Objects
John Champaign and Robin Cohen
Pages 283-284 [pdf]

A Preliminary Investigation of Hierarchical Hidden Markov Models for Tutorial Planning
Kristy Elizabeth Boyer, Robert Phillips, Eun Young Ha, Michael D. Wallis, Mladen A. Vouk, and James C. Lester
Pages 285-286 [pdf]

Higher Contributions Correlate with Higher Learning Gains
Carol Forsyth, Heather Butler, Arthur C. Graesser, Diane Halpern
Pages 287-288 [pdf]

Pinpointing Learning Moments; A finer grain P(J) model
Adam Goldstein, Ryan S.J.d. Baker and Neil T. Heffernan
Pages 289-290 [pdf]

Predicting Task Completion from Rich but Scarce Data
José P. González-Brenes and Jack Mostow
Pages 291-292 [pdf]

Hierarchical Structures of Content Items in LMS
Sharon Hardof-Jaffe, Arnon Hershkovitz, Ronit Azran and Rafi Nachmias
Pages 293-294 [pdf]

Is Students’ Activity in LMS Persistent?
Arnon Hershkovitz and Rafi Nachmias
Pages 295-296 [pdf]

EDM Visualization Tool: Watching Students Learn
Matthew M. Johnson and Tiffany Barnes
Pages 297-298 [pdf]

Inferring the Differential Student Model in a Probabilistic Domain Using Abduction inference in Bayesian networks
Nabila Khodeir, Nayer Wanas, Nevin Darwish and Nadia Hegazy
Pages 299-300 [pdf]

Using LiMS (the Learner Interaction Monitoring System) to Track Online Learner Engagement and Evaluate Course Design
Leah P. Macfadyen and Peter Sorenson
Pages 301-302 [pdf]

Observing Online Curriculum Planning Behavior of Teachers
Keith E. Maull, Manuel Gerardo Saldivar and Tamara Sumner
Pages 303-304 [pdf]

When Data Exploration and Data Mining meet while Analysing Usage Data of a Course
André Krüger, Agathe Merceron and Benjamin Wolf
Pages 305-306 [pdf]

AutoJoin: Generalizing an Example into an EDM query
Jack Mostow and Bao Hong (Lucas) Tan
Pages 307-308 [pdf]

Conceptualizing Procedural Knowledge Targeted at Students with Different Skill Levels
Martin Možina, Matej Guid, Aleksander Sadikov, Vida Groznik, Jana Krivec, and Ivan Bratko
Pages 309-310 [pdf]

Data Reduction Methods Applied to Understanding Complex Learning Hypotheses
Philip I. Pavlik Jr.
Pages 311-312 [pdf]

Analysis of a causal modeling approach: a case study with an educational intervention
Dovan Rai and Joseph E. Beck
Pages 313-314 [pdf]

Peer Production of Online Learning Resources: A Social Network Analysis
Beijie Xu and Mimi M. Recker
Pages 315-316 [pdf]

Class Association Rules Mining from Students’ Test Data
Cristóbal Romero, Sebastián Ventura, Ekaterina Vasilyeva and Mykola Pechenizkiy
Pages 317-318 [pdf]

Modeling Learning Trajectories with Epistemic Network Analysis: A Simulation-based Investigation of a Novel Analytic Method for Epistemic Games
Andre A. Rupp, Shauna J. Sweet and Younyoung Choi
Pages 319-320 [pdf]

Multiple Test Forms Construction based on Bees Algorithm
Pokpong Songmuang and Maomi Ueno
Pages 321-322 [pdf]

Can Order of Access to Learning Resources Predict Success?
Hema Soundranayagam and Kalina Yacef
Pages 323-324 [pdf]

A Data Driven Approach to the Discovery of Better Cognitive Models
Kenneth R. Koedinger and John C. Stamper
Pages 325-326 [pdf]

Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems
John C. Stamper, Tiffany Barnes and Marvin Croy
Pages 327-328 [pdf]

A Review of Student Churn in the Light of Theories on Business Relationships
Jaan Ubi and Innar Liiv
Pages 329-330 [pdf]

Towards EDM Framework for Personalization of Information Services in RPM Systems
Ekaterina Vasilyeva, Mykola Pechenizkiy, Aleksandra Tesanovic, Evgeny Knutov, Sicco Verwer and Paul De Bra
Pages 331-332 [pdf]

A Case Study: Data Mining Applied to Student Enrollment
César Vialardi, Jorge Chue, Alfredo Barrientos, Daniel Victoria, Jhonny Estrella, Juan Pablo Peche and Álvaro Ortigosa
Pages 333-334 [pdf]

Representing Student Performance with Partial Credit
Yutao Wang, Neil T. Heffernan and Joseph E. Beck
Pages 335-336 [pdf]

Where in the World? Demographic Patterns in Access Data
Mimi M. Recker, Beijie Xu, Sherry Hsi, and Christine Garrard
Pages 337-338 [pdf]

Pundit: Intelligent Recommender of Courses
Ankit Ranka, Faisal Anwar, Hui Soo Chae
Pages 339-340 [pdf]

Author Index

Pages 341-342 [pdf]