Deprecated: preg_replace(): The /e modifier is deprecated, use preg_replace_callback instead in /home/content/49/4163449/html/EDM2014/lib/smarty/Smarty_Compiler.class.php on line 270


Latest news:

Follow @EDMConference
Use #EDM_2014

Strict Standards: Only variables should be assigned by reference in /home/content/49/4163449/html/EDM2014/plugins/function.tweetfeed.php on line 300

Dan Russell: 150K+ online students at a time: How to understand what’s happening in online learning #EDM_2014 @IOE_London

Hi guys...we had this last year. We starting using #EDM_2014 on purpose to let you use EDM or EDM2014. Do you mind using that one?

RT @johnscarney: Educational Data Mining in action. #EDM_2014 #ncstate Non-cognitive factors in improving education outcomes! #mari http:/…

RT @sjgknight: #Edm_2014 @dwshaffer kicking off ENA tutorial @ioe_london

A hint for the banquet on Sunday ;-) #EDM_2014

#EDM_2014 website is down. In the meantime wrkshp/tut schedule and conference one

RT @Ani_Aghababyan: #lasi14 is also available online. Live streaming:

May 30th 23:59 BST early bird registration 7th Educational Data Mining conference #EDM_2014 @IOE_London Hurry Up!

The 7th International Conference on Educational Data Mining is open: - early bird price is £230 and students pay £150

#EDM_2014 Twitter feeds are now being displayed on the @EDMConference website (


Organized by the International Educational Data Mining Society (IEDMS).



Carnegie Learning










To discover more about sponsorship contact


Citation Information

Stamper, J., Pardos, Z., Mavrikis, M., McLaren, B.M. (eds.) Proceedings of the 7th International Conference on Educational Data Mining.

Online Proceedings

Click here to download a PDF file of the full proceedings.

Full Papers

Adaptive Practice of Facts in Domains with Varied Prior Knowledge
Jan Papousek, Radek Pelánek and Vít Stanislav
Pages 6-13 [pdf]

Alternating Recursive Method for Q-matrix Learning
Yuan Sun, Shiwei Ye, Shunya Inoue and Yi Sun
Pages 14-20 [pdf]

Application of Time Decay Functions and the Elo System in Student Modeling
Radek Pelánek
Pages 21-27 [pdf]

Causal Discovery with Models: Behavior, Affect, and Learning in Cognitive Tutor Algebra
Stephen Fancsali
Pages 28-35 [pdf]

Choice-based Assessment: Can Choices Made in Digital Games Predict 6th-Grade Students' Math Test Scores?
Min Chi, Daniel Schwartz, Kristen Pilner Blair and Doris B. Chin
Pages 36-43 [pdf]

Comparing Expert and Metric-Based Assessments of Association Rule Interestingness
Diego Luna Bazaldua, Ryan Baker and Maria Ofelia San Pedro
Pages 44-51 [pdf]

Different parameters - same prediction: An analysis of learning curves
Tanja Käser, Kenneth Koedinger and Markus Gross
Pages 52-59 [pdf]

Discovering Gender-Specific Knowledge from Finnish Basic Education using PISA Scale Indices
Mirka Saarela and Tommi Kärkkäinen
Pages 60-67 [pdf]

EduRank: A Collaborative Filtering Approach to Personalization in E-learning
Avi Segal, Ziv Katzir, Kobi Gal, Guy Shani and Bracha Shapira
Pages 68-75 [pdf]

Exploring Differences in Problem Solving with Data-Driven Approach Maps
Michael Eagle and Tiffany Barnes
Pages 76-83 [pdf]

General Features in Knowledge Tracing to Model Multiple Subskills, Temporal Item Response Theory, and Expert Knowledge
Yun Huang, José González-Brenes and Peter Brusilovsky
Pages 84-91 [pdf]

Generating Hints for Programming Problems Using Intermediate Output
Barry Peddycord Iii, Andrew Hicks and Tiffany Barnes
Pages 92-98 [pdf]

Integrating latent-factor and knowledge-tracing models to predict individual differences in learning
Mohammad Khajah, Rowan Wing, Robert Lindsey and Michael Mozer
Pages 99-106 [pdf]

Interpreting model discovery and testing generalization to a new dataset
Ran Liu, Elizabeth A. McLaughlin and Kenneth R. Koedinger
Pages 107-113 [pdf]

Learning Individual Behavior in an Educational Game: A Data-Driven Approach
Seong Jae Lee, Yun-En Liu and Zoran Popovi?
Pages 114-121 [pdf]

Predicting Learning and Affect from Multimodal Data Streams in Task-Oriented Tutorial Dialogue
Joseph Grafsgaard, Joseph Wiggins, Kristy Elizabeth Boyer, Eric Wiebe and James Lester
Pages 122-129 [pdf]

Sentiment Analysis in MOOC Discussion Forums: What does it tell us?
Miaomiao Wen, Diyi Yang and Carolyn Rose
Pages 130-137 [pdf]

The Effect of Mutual Gaze Perception on Students' Verbal Coordination
Bertrand Schneider and Roy Pea
Pages 138-144 [pdf]

The Opportunities and Limitations of Scaling Up Sensor-Free Affect Detection
Michael Wixon, Ivon Arroyo, Kasia Muldner, Winslow Burleson, Dovan Rai and Beverly Woolf
Pages 145-152 [pdf]

The Problem Solving Genome: Analyzing Sequential Patterns of Student Work with Parameterized Exercises
Julio Guerra, Shaghayegh Sahebi, Yu-Ru Lin and Peter Brusilovsky
Pages 153-160 [pdf]

Trading Off Scientific Knowledge and User Learning with Multi-Armed Bandits
Yun-En Liu, Travis Mandel, Emma Brunskill and Zoran Popovi?
Pages 161-168 [pdf]

Vertical and Stationary Scales for Progress Maps
Russell Almond, Ilya Goldin, Yuhua Guo and Nan Wang
Pages 169-176 [pdf]

Visualization and Confirmatory Clustering of Sequence Data from a Simulation-Based Assessment Task
Yoav Bergner, Zhan Shu and Alina von Davier
Pages 177-184 [pdf]

Who's in Control?: Categorizing Nuanced Patterns of Behaviors within a Game-Based Intelligent Tutoring System
Erica Snow, Laura Varner, Devin Russell and Danielle McNamara
Pages 185-192 [pdf]


Short papers

Acquisition of Triples of Knowledge from Lecture Notes: A Natural Langauge Processing Approach
Thushari Atapattu, Katrina Falkner and Nickolas Falkner
Pages 193-196 [pdf]

Towards Assessing Students' Prior Knowledge from Tutorial Dialogues
Dan Stefanescu, Vasile Rus and Art Graesser
Pages 197-201 [pdf]

Assigning Educational Videos at Appropriate Locations in Textbooks
Marios Kokkodis, Anitha Kannan and Krishnaram Kenthapadi
Pages 201-204 [pdf]

Better Data Beats Big Data
Michael Yudelson, Steve Fancsali, Steve Ritter, Susan Berman, Tristan Nixon and Ambarish Joshi
Pages 205-208 [pdf]

Building a Student At-Risk Model: An End-to-End Perspective From User to Data Scientist
Lalitha Agnihotri and Alexander Ott
Pages 209-212 [pdf]

Can Engagement be Compared? Measuring Academic Engagement for Comparison
Ling Tan, Xiaoxun Sun and Siek Toon Khoo
Pages 213-216 [pdf]

Comparison of Algorithms for Automatically Building Example-Tracing Tutor Models
Rohit Kumar, Matthew Roy, Bruce Roberts and John Makhoul
Pages 217-220 [pdf]

Computer-based Adaptive Speed Tests
Daniel Bengs and Ulf Brefeld
Pages 221-224 [pdf]

Discovering Students' Complex Problem Solving Strategies in Educational Assessment
Krisztina Tóth, Heiko Rölke, Samuel Greiff and Sascha Wüstenberg
Pages 225-228 [pdf]

Discovering Theoretically Grounded Predictors of Shallow vs. Deep- level Learning
Carol Forsyth, Arthur Graesser, Philip I. Pavlik Jr., Keith Millis and Borhan Samei
Pages 229-232 [pdf]

Domain Independent Assessment of Dialogic Properties of Classroom Discourse
Borhan Samei, Andrew Olney, Sean Kelly, Martin Nystrand, Sidney D'Mello, Nathan Blanchard, Xiaoyi Sun, Marci Glaus and Art Graesser
Pages 233-236 [pdf]

Empirically Valid Rules for Ill-Defined Domains
Collin Lynch and Kevin Ashley
Pages 237-240 [pdf]

Entropy: A Stealth Measure of Agency in Learning Environments
Erica Snow, Matthew Jacovina, Laura Varner, Jianmin Dai and Danielle McNamara
Pages 241-244 [pdf]

Error Analysis as a Validation of Learning Progressions
Brent Morgan, William Baggett and Vasile Rus
Pages 245-248 [pdf]

Exploration of Student's Use of Rule Application References in a Propositional Logic Tutor
Michael Eagle, Vinaya Polamreddi, Behrooz Mostafavi and Tiffany Barnes
Pages 249-252 [pdf]

Exploring real-time student models based on natural-language tutoring sessions
Benjamin Nye, Mustafa Hajeer, Carolyn Forsyth, Borhan Samei, Xiangen Hu and Keith Millis
Pages 253-256 [pdf]

Forum Thread Recommendation for Massive Open Online Courses
Diyi Yang, Mario Piergallini, Iris Howley and Carolyn Rose
Pages 257-260 [pdf]

Investigating Automated Student Modeling in a Java MOOC
Michael Yudelson, Roya Hosseini, Arto Vihavainen and Peter Brusilovsky
Pages 261-264 [pdf]

Mining Gap-fill Questions from Tutorial Dialogues
Nobal B. Niraula, Vasile Rus, Dan Stefanescu and Arthur C. Graesser
Pages 265-268 [pdf]

Online Optimization of Teaching Sequences with Multi-Armed Bandits
Benjamin Clement, Pierre-Yves Oudeyer, Didier Roy and Manuel Lopes
Pages 269-272 [pdf]

Predicting MOOC performance with Week 1 Behavior
Suhang Jiang, Adrienne Williams, Katerina Schenke, Mark Warschauer and Diane O'dowd
Pages 273-275 [pdf]

Predicting STEM and Non-STEM College Major Enrollment from Middle School Interaction with Mathematics Educational Software
Maria Ofelia San Pedro, Jaclyn Ocumpaugh, Ryan Baker and Neil Heffernan
Pages 276-279 [pdf]

Quantized Matrix Completion for Personalized Learning
Andrew Lan, Christoph Studer and Richard Baraniuk
Pages 280-283 [pdf]

Reengineering the Feature Distillation Process: A case study in detection of Gaming the System
Luc Paquette, Adriana de Carvahlo, Ryan Baker and Jaclyn Ocumpaugh
Pages 284-287 [pdf]

SKETCHMINER: Mining Learner-Generated Science Drawings with Topological Abstraction
Andy Smith, Eric N. Wiebe, Bradford W. Mott and James C. Lester
Pages 288-291 [pdf]

Teachers and Students Learn Cyber Security: Comparing Software Quality, Security
Shlomi Boutnaru and Arnon Hershkovitz
Pages 292-295 [pdf]

Testing the Multimedia Principle in the Real World: A Comparison of Video vs. Text Feedback in Authentic Middle School Math Assignments
Korinn Ostrow and Neil Heffernan
Pages 296-299 [pdf]

The Importance of Grammar and Mechanics in Writing Assessment and Instruction: Evidence from Data Mining
Scott Crossley, Kris Kyle, Laura Varner and Danielle McNamara
Pages 300-303 [pdf]

The Long and Winding Road: Investigating the Differential Writing Patterns of High and Low Skilled Writers
Laura Varner, Erica Snow and Danielle McNamara
Pages 304-407 [pdf]

The refinement of a Q-matrix: Assessing methods to validate tasks to skills mapping
Michel Desmarais, Behzad Beheshti and Peng Xu
Pages 208-311 [pdf]

Tracing Knowledge and Engagement in Parallel in an Intelligent Tutoring System
Sarah Schultz and Ivon Arroyo
Pages 312-315 [pdf]

Tracking Choices:Computational Analysis of Learning Trajectories
Erica Snow, Laura Varner and Danielle McNamara
Pages 316-319 [pdf]

Unraveling Students' Interaction Around a Tangible Interface Using Gesture Recognition
Bertrand Schneider and Paulo Blikstein
Pages 320-323 [pdf]



A Predictive Model for Video Lectures Classification
Priscylla Silva, Roberth Pinheiro and Evandro Costa
Pages 325-326 [pdf]

Accepting or Rejecting Students_ Self-grading in their Final Marks by using Data Mining
Javier Fuentes, Cristobal Romero, Carlos García-Martínez andSebastián Ventura
Pages 327-328 [pdf]

Analysis and extraction of behaviors by students in lectures
Eiji Watanabe, Takashi Ozeki and Takeshi Kohama
Pages 329-330 [pdf]

Analysis of Student Retention and Drop-out using Visual Analytics
Jan Géryk and Lubomír Popelínsk?
Pages 331-332 [pdf]

Automatic assessment of student reading comprehension from short summaries
Lisa Mintz, Dan Stefanescu, Shi Feng, Sidney D'Mello and Arthur Graesser
Pages 333-334 [pdf]

Building an Intelligent PAL from the Session Database Phase 1: Data Mining
Donald Morrison, Benjamin Nye,Borhan Samei, Vivek Varma Datla, Craig Kelly and Vasile Rus
Pages 335-336 [pdf]

Building Automated Detectors of Gameplay Strategies to Measure Implicit Science Learning
Elizabeth Rowe, Ryan Baker, Jodi Asbell-Clarke, Emily Kasman and William Hawkins
Pages 337-338 [pdf]

Challenges on adopting BKT to model student knowledge in multi-context online learning platform
Wolney Mello Neto, Eduardo Barbosa, Felipe Garcia, Leonardo Carvalho, Nicolau Werneck and Pedro Carvalho
Pages 339-340 [pdf]

Combination of statistical and semantic data sources for the improvement of software engineering courses (Vision Paper)
Michael Koch, Markus Ring, Florian Otto and Dieter Landes
Pages 341-342 [pdf]

Comparing Learning in a MOOC and a Blended, On-Campus Course
Kimberly Colvin, John Champaign, Alwina Liu, Colin Fredericks and David Pritchard
Pages 343-344 [pdf]

Cost-Effective, Actionable Engagement Detection at Scale
Ryan Baker and Jaclyn Ocumpaugh
Pages 345-346 [pdf]

Data mining of undergraduate course evaluations
Sohail Javaad Syed, Yuheng Helen Jiang and Lukasz Golab
Pages 347-348 [pdf]

Data Sharing: Low-Cost Sensors for Affect and Cognition
Keith Brawner
Pages 349-350 [pdf]

Diagnosing Algebra Understanding via Bayesian Inverse Planning
Anna Rafferty and Thomas Griffiths
Pages 351-352 [pdf]

Discovering and describing types of mathematical errors
Thomas McTavish and Johann Larusson
Pages 353-354 [pdf]

Discovering Prerequisite Relationships Among Knowledge Components
Richard Scheines, Elizabeth Silver and Ilya Goldin
Pages 355-356 [pdf]

Dynamic Re-Composition of Learning Groups Using PSO-Based Algorithms
Zhilin Zheng and Niels Pinkwart
Pages 357-358 [pdf]

Educational Data Mining and Analyzing of Student Learning Outcomes from the Perspective of Learning Experience
Zhongmei Shu, Qiong-Fei Qu and Lu-Qi Feng
Pages 359-360 [pdf]

Using EEG in Knowledge Tracing
Yanbo Xu, Kai-Min Chang, Yueran Yuan and Jack Mostow
Pages 361-362 [pdf]

Exploring Engaging Dialogues in Video Discussions
I-Han Hsiao, Hui Soo Chae, Manav Malhotra, Ryan Baker and Gary Natriello
Pages 363-364 [pdf]

Exploring indicators from keyboard and mouse interactions to predict the user affective state
Sergio Salmeron-Majadas, Olga C. Santos and Jesus G. Boticario
Pages 365-366 [pdf]

Extracting Latent Skills from Time Series of Asynchronous and Incomplete Examinations
Shinichi Oeda, Yu Ito and Kenji Yamanishi
Pages 367-368 [pdf]

Generalizing and Extending a Predictive Model for Standardized Test Scores Based On Cognitive Tutor Interactions
Ambarish Joshi, Stephen Fancsali, Steven Ritter, Tristan Nixon and Susan Berman
Pages 369-370 [pdf]

How patterns in source codes of students can help in detection of their programming skills?
Stefan Pero and Tomás Horváth
Pages 371-372 [pdf]

A Preliminary Investigation of Learner Characteristics for Unsupervised Dialogue Act Classification
Aysu Ezen-Can and Kristy Elizabeth Boyer
Pages 373-374 [pdf]

Improving Retention Performance Prediction with Prerequisite Skill Features
Xiaolu Xiong, Seth Adjei and Neil Heffernan
Pages 375-376 [pdf]

Indicator Visualization for Adaptive Exploratory Learning Environments
Manolis Mavrikis, Sergio Gutierrez Santos, Alex Poulovassilis and Zheng Zhu
Pages 377-378 [pdf]

Learning Aid Use Patterns and Their Impact on Exam Performance in Online Developmental Mathematics
Nicole Forsgren Velasquez, Ilya Goldin, Taylor Martin and Jason Maughan
Pages 379-380 [pdf]

Learning to Teach like a Bandit
Mykola Pechenizkiy and Pedro A. Toledo
Pages 381-382 [pdf]

Matching Hypothesis Text in Diagrams and Essays
Collin Lynch, Mohammad Falakmasir and Kevin Ashley
Pages 383-384 [pdf]

Matrix Factorization Feasibility for Sequencing and Adaptive Support in Intelligent Tutoring Systems
Carlotta Schatten, Ruth Janning, Manolis Mavrikis and Lars Schmidt-Thieme
Pages 385-386 [pdf]

Microgenetic Designs for Educational Data Mining Research: Poster
Taylor Martin, Nicole Forsgren Velasquez, Ani Aghababyan, Jason Maughan and Philip Janisiewicz
Pages 387-388 [pdf]

Mining and Identifying Relationships Among Sequential Patterns in Multi-Feature, Hierarchical Learning Activity Data
Cheng Ye, John Kinnebrew and Gautam Biswas
Pages 389-390 [pdf]

Mining coherent evolution patterns in education through biclustering
André Vale, Sara C. Madeira and Claudia Antunes
Pages 391-392 [pdf]

Mining Multi-dimensional Patterns for Student Modelling
Andreia Silva and Claudia Antunes
Pages 393-394 [pdf]

Mining Reading Comprehension Within Educational Objective Frameworks
Terry Peckham and Gordon McCalla
Pages 395-396 [pdf]

Mining students' strategies to enable collaborative learning
Sergio Gutierrez-Santos, Manolis Mavrikis and Alexandra Poulovassilis
Pages 397-398 [pdf]

Modeling Student Socioaffective Responses to Group Interactions in a Collaborative Online Chat Environment
Whitney Cade, Nia Dowell, Art Graesser, Yla Tausczik and James Pennebaker
Pages 399-400 [pdf]

Now We're Talking: Leveraging the Power of Natural Language Processing to Inform ITS Development
Laura Allen, Erica Snow andDanielle McNamara
Pages 401-402 [pdf]

Peer assessment in the first French MOOC : Analyzing assessors' behavior
Matthieu Cisel, Rémi Bachelet and Eric Bruillard
Pages 403-404 [pdf]

Peer Influence on Attrition in Massively Open Online Courses
Diyi Yang, Miaomiao Wen and Carolyn Rose
Pages 405-406 [pdf]

Predicting students' learning achievement by using online learning patterns in blended learning environments: Comparison of two cases on linear and non-linear model
Jeong Hyun Kim, Yeonjeong Park, Jongwoo Song and Il-Hyun Jo
Pages 407-408 [pdf]

Predictive performance of prevailing approaches to skills assessment techniques: Insights from real vs. synthetic data sets
Behzad Beheshti and Michel Desmarais
Pages 409-410 [pdf]

Recent-Performance Factors Analysis
April Galyardt and Ilya Goldin
Pages 411-412 [pdf]

Refining Learning Maps with Data Fitting Techniques: Searching for Better Fitting Learning Maps
Seth Adjei, Douglas Selent, Neil Heffernan, Zach Pardos, Angela Broaddus and Neal Kingston
Pages 413-414 [pdf]

Relevancy prediction of micro-blog questions in an educational setting
Mariheida Cordova-Sanchez, Parameswaran Raman, Luo Si and Jason Fish
Pages 415-416 [pdf]

Singular Value Decomposition in Education: a case study on recommending courses
Fábio Carballo and Claudia Antunes
Pages 417-418 [pdf]

The predictive power of the SNA metrics for education
Diego García-Saiz, Camilo Palazuelos and Marta Zorrilla
Pages 419-420 [pdf]

Data-Driven Curriculum Design: Mining the Web to Make Better Teaching Decisions
Antonio Moretti, Jose Gonzalez-Brenes and Katherine McKnight
Pages 421-422 [pdf]

Towards IRT-based student modeling from problem solving steps
Manuel Hernando, Eduardo Guzmán, Sergey Sosnovsky, Eric Andres and Susanne Narciss
Pages 423-424 [pdf]

Towards Uncovering the Mysterious World of Math Homework
Mingyu Feng
Pages 425-426 [pdf]

Towards Using Similarity Measure for Automatic Detection of Significant Behaviors from Continuous Data
Ben-Manson Toussaint, Vanda Luengo and Jérôme Tonetti
Pages 427-428 [pdf]

Using Data Mining to Automate ADDIE
Fritz Ray, Keith Brawner and Robby Robson
Pages 429-430 [pdf]

Using Multimodal Learning Analytics to Study Learning Mechanisms
Marcelo Worsley and Paulo Blikstein
Pages 431-432 [pdf]

Using Problem Solving Times and Expert Opinion to Detect Skills
Juraj Niznan, Radek Pelánek and Jirí Rihák
Pages 433-434 [pdf]

Young Researcher Papers

Toward Collaboration Sensing: Multimodal Detection of the Chameleon Effect in Collaborative Learning Settings
Bertrand Schneider
Pages 435-437 [pdf]

The Use of Student Confidence for Prediction & Resolving Individual Student Knowledge Structure
Charles Lang
Pages 438-440 [pdf]

Nonverbal Communication and Teaching Performance
Roghayeh Barmaki
Pages 441-443 [pdf]

Data-Driven Feedback Beyond Next-Step Hints
Michael Eagle and Tiffany Barnes
Pages 444-446 [pdf]

E3: Emotions, Engagement and Educational Games
Ani Aghababyan
Pages 447-451 [pdf]

MOOC Leaner Motivation and Learning Pattern Discovery
Yuan "Elle" Wang
Pages 452-454 [pdf]

Personalization and Incentive Design in E-Learning Systems
Avi Segal
Pages 455-457 [pdf]


EDM 2014 Extended Proceedings in CEUR workshop proceedings (vol. 1183):