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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 http://t.co/3xogR3nBgm

A hint for the banquet on Sunday ;-) #EDM_2014 http://t.co/IBInZpuYka

#EDM_2014 website is down. In the meantime wrkshp/tut schedule http://t.co/AGoC3AwUxv and conference one http://t.co/z1j75aUkfh

RT @gsiemens: Full house at #lasi14 http://t.co/c4qICr4eA6

RT @Ani_Aghababyan: #lasi14 is also available online. Live streaming: http://t.co/xGjWqbR0Wq

May 30th 23:59 BST early bird registration 7th Educational Data Mining conference http://t.co/Z60EsyGJxb #EDM_2014 @IOE_London Hurry Up!

The 7th International Conference on Educational Data Mining is open: http://t.co/Nu76TNXdUk - early bird price is £230 and students pay £150

.

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

Sponsors:

Gold

Carnegie Learning

MARi

Pearson

Silver

KAPLAN

Bronze

Whizz

Intellimedia

realizeit

reasoningmind

To discover more about sponsorship contact edm2014@lkl.ac.uk

Proceedings

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]

 

Posters

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 Tutor.com 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]


Workshops

EDM 2014 Extended Proceedings in CEUR workshop proceedings (vol. 1183): http://ceur-ws.org/Vol-1183/