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ORCID6th EDM 2013: Memphis, Tennessee, USA
- Sidney K. D'Mello, Rafael A. Calvo, Andrew Olney:
Proceedings of the 6th International Conference on Educational Data Mining, Memphis, Tennessee, USA, July 6-9, 2013. International Educational Data Mining Society 2013, ISBN 978-0-9839525-2-7
Keynotes
- Valerie Shute:
Stealth Assessment in Games: Why, What, and How. 1 - John R. Anderson:
Discovering the Structure of Mathematical Problem Solving. 2 - Ryan S. Baker:
EDM in a Complex and Changing World. 3
Oral Presentations (Full Papers)
- Joseph Beck, Xiaolu Xiong:
Limits to accuracy: how well can we do at student modeling? 4-11 - Ryan Carlson, Konstantin Genin, Martina A. Rau, Richard Scheines:
Student Profiling from Tutoring System Log Data: When do Multiple Graphical Representations Matter? 12-19 - Aysu Ezen-Can, Kristy Elizabeth Boyer:
Unsupervised Classification of Student Dialogue Acts with Query-Likelihood Clustering. 20-27 - Mohammad Hassan Falakmasir, Zachary A. Pardos, Geoffrey J. Gordon, Peter Brusilovsky:
A Spectral Learning Approach to Knowledge Tracing. 28-34 - Stephen Fancsali, Tristan Nixon, Steven Ritter:
Optimal and Worst-Case Performance of Mastery Learning Assessment with Bayesian Knowledge Tracing. 35-42 - Joseph F. Grafsgaard, Joseph B. Wiggins, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester:
Automatically Recognizing Facial Expression: Predicting Engagement and Frustration. 43-50 - Erik Harpstead, Christopher J. MacLellan, Kenneth R. Koedinger, Vincent Aleven, Steven P. Dow, Brad A. Myers:
Investigating the Solution Space of an Open-Ended Educational Game Using Conceptual Feature Extraction. 51-58 - William Hawkins, Neil T. Heffernan, Yutao Wang, Ryan Shaun Baker:
Extending the Assistance Model: Analyzing the Use of Assistance over Time. 59-66 - James Herold, Alex Zundel, Thomas F. Stahovich:
Differential Pattern Mining of Students' Handwritten Coursework. 67-73 - Arnon Hershkovitz, Ryan Shaun Baker, Sujith M. Gowda, Albert T. Corbett:
Predicting Future Learning Better Using Quantitative Analysis of Moment-by-Moment Learning. 74-81 - Matthew W. Johnson, Michael Eagle, Tiffany Barnes:
InVis: An Interactive Visualization Tool for Exploring Interaction Networks. 82-89 - Andrew S. Lan, Christoph Studer, Andrew E. Waters, Richard G. Baraniuk:
Tag-Aware Ordinal Sparse Factor Analysis for Learning and Content Analytics. 90-97 - Nan Li, William W. Cohen, Kenneth R. Koedinger:
Discovering Student Models with a Clustering Algorithm Using Problem Content. 98-105 - Yun-En Liu, Travis Mandel, Eric Butler, Erik Andersen, Eleanor O'Rourke, Emma Brunskill, Zoran Popovic:
Predicting Player Moves in an Educational Game: A Hybrid Approach. 106-113 - Zhongxiu Liu, Visit Pataranutaporn, Jaclyn Ocumpaugh, Ryan Shaun Baker:
Sequences of Frustration and Confusion, and Learning. 114-120 - Roberto Martínez Maldonado, Kalina Yacef, Judy Kay:
Data Mining in the Classroom: Discovering Groups' Strategies at a Multi-tabletop Environment. 121-128 - Lee Dee Miller, Leen-Kiat Soh:
Meta-Reasoning Algorithm for Improving Analysis of Student Interactions with Learning Objects using Supervised Learning. 129-136 - Zachary A. Pardos, Yoav Bergner, Daniel T. Seaton, David E. Pritchard:
Adapting Bayesian Knowledge Tracing to a Massive Open Online Course in edX. 137-144 - Philip I. Pavlik, Henry Hua, Jamal Williams, Gavin M. Bidelman:
Modeling and Optimizing Forgetting and Spacing Effects during Musical Interval Training. 145-152 - Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong B. Do, Andrew Y. Ng, Daphne Koller:
Tuned Models of Peer Assessment in MOOCs. 153-160 - Martina A. Rau, Richard Scheines, Vincent Aleven, Nikol Rummel:
Does Representational Understanding Enhance Fluency - Or Vice Versa? Searching for Mediation Models. 161-168 - Steven Ritter, Ambarish Joshi, Stephen Fancsali, Tristan Nixon:
Predicting Standardized Test Scores from Cognitive Tutor Interactions. 169-176 - Maria Ofelia Clarissa Z. San Pedro, Ryan Shaun Baker, Alex J. Bowers, Neil T. Heffernan:
Predicting College Enrollment from Student Interaction with an Intelligent Tutoring System in Middle School. 177-184 - Michael Sao Pedro, Ryan Shaun Baker, Janice D. Gobert:
Incorporating Scaffolding and Tutor Context into Bayesian Knowledge Tracing to Predict Inquiry Skill Acquisition. 185-192 - Brett van de Sande:
Applying three models of learning to individual student log data. 193-199 - Wenting Xiong, Diane J. Litman:
Evaluating Topic-Word Review Analysis for Understanding Student Peer Review Performance. 200-207 - Xiaoxi Xu, Tom Murray, Beverly Park Woolf, David A. Smith:
Mining Social Deliberation in Online Communication - If You Were Me and I Were You. 208-215
Oral Presentations (Short Papers)
- Scott A. Crossley, Caleb Defore, Kris Kyle, Jianmin Dai, Danielle S. McNamara:
Paragraph Specific N-Gram Approaches to Automatically Assessing Essay Quality. 216-219 - Alireza Davoodi, Cristina Conati:
Degeneracy in Student Modeling with Dynamic Bayesian Networks in Intelligent Edu-Games. 220-223 - Michel C. Desmarais, François Lemieux:
Clustering and Visualizing Study State Sequences. 224-227 - Melissa Deziel, Dayo Olawo, Lisa Truchon, Lukasz Golab:
Analyzing the Mental Health of Engineering Students using Classification and Regression. 228-231 - Ilya M. Goldin, Kenneth R. Koedinger, Vincent Aleven:
Hints: You Can't Have Just One. 232-235 - José P. González-Brenes, Jack Mostow:
What and When do Students Learn? Fully Data-Driven Joint Estimation of Cognitive and Student Models. 236-239 - Geraldine Gray, Colm McGuinness, Philip Owende:
An Investigation of Psychometric Measures for Modelling Academic Performance in Tertiary Education. 240-243 - Paul Salvador Inventado, Roberto Sebastian Legaspi, Rafael Cabredo, Masayuki Numao:
Modeling Affect in Student-driven Learning Scenarios. 244-247 - Matthew W. Johnson, Michael Eagle, John C. Stamper, Tiffany Barnes:
An Algorithm for Reducing the Complexity of Interaction Networks. 248-251 - John S. Kinnebrew, Daniel L. C. Mack, Gautam Biswas:
Mining Temporally-Interesting Learning Behavior Patterns. 252-255 - Radek Pelánek, Petr Jarusek, Matej Klusácek:
Modeling Students' Learning and Variability of Performance in Problem Solving. 256-259 - Anna N. Rafferty, Jodi L. Davenport, Emma Brunskill:
Estimating Student Knowledge from Paired Interaction Data. 260-263 - Nicholas Rhodes, Matthew Ung, Alexander Zundel, James Herold, Thomas F. Stahovich:
Using a Lexical Analysis of Student's Self-Explanation to Predict Course Performance. 264-267 - Cristóbal Romero, Juan Luis Olmo, Sebastián Ventura:
A meta-learning approach for recommending a subset of white-box classification algorithms for Moodle datasets. 268-271 - Erica L. Snow, G. Tanner Jackson, Laura K. Varner, Danielle S. McNamara:
Investigating the Effects of Off-Task Personalization on System Performance and Attitudes within a Game-Based Environment. 272-275 - Erica L. Snow, Aaron D. Likens, G. Tanner Jackson, Danielle S. McNamara:
Students' Walk through Tutoring: Using a Random Walk Analysis to Profile Students. 276-279 - Vilaythong Southavilay, Lina Markauskaite, Michael J. Jacobson:
From "Events" to "Activities": Creating Abstraction Techniques for Mining Students' Model-Based Inquiry Processes. 280-283 - John C. Stamper, Kenneth R. Koedinger, Elizabeth A. McLaughlin:
A Comparison of Model Selection Metrics in DataShop. 284-287 - Brett van de Sande:
Measuring the moment of learning with an information-theoretic approach. 288-291 - Divyanshu Vats, Christoph Studer, Andrew S. Lan, Lawrence Carin, Richard G. Baraniuk:
Test-size Reduction for Concept Estimation. 292-295 - Benjamin Vega, Shi Feng, Blair Lehman, Arthur C. Graesser, Sidney K. D'Mello:
Reading into the Text: Investigating the Influence of Text Complexity on Cognitive Engagement. 296-299 - Arto Vihavainen, Matti Luukkainen, Jaakko Kurhila:
Using Students' Programming Behavior to Predict Success in an Introductory Mathematics Course. 300-303
Poster Presentations (Regular Papers)
- Seth Adjei, Seye Salehizadeh, Yutao Wang, Neil T. Heffernan:
Do students really learn an equal amount independent of whether they get an item correct or wrong? 304-305 - Angela Bovo, Stéphane Sanchez, Olivier Heguy, Yves Duthen:
Analysis of students clustering results based on Moodle log data. 306-307 - Ritu Chaturvedi, Christie I. Ezeife:
Mining the Impact of Course Assignments on Student Performance. 308-309 - Alireza Davoodi, Samad Kardan, Cristina Conati:
Mining User's Behaviors in Intelligent Educational Games: Prime Climb a Case Study. 310-311 - Jennifer DeBoer, Glenda S. Stump, Daniel T. Seaton, Andrew D. Ho, David E. Pritchard, Lori Breslow:
Bringing student backgrounds online: MOOC user demographics, site usage, and online learning. 312-313 - Kristen E. DiCerbo, Khusro Kidwai:
Detecting Player Goals from Game Log Files. 314-315 - Hien Duong, Linglong Zhu, Yutao Wang, Neil T. Heffernan:
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". 316-317 - Diego García-Saiz, Marta E. Zorrilla:
Towards the development of a classification service for predicting students' performance. 318-319 - Kyle Goslin, Markus Hofmann:
Identifying and Visualizing the Similarities Between Course Content at a Learning Object, Module and Program Level. 320-321 - Kim M. Kelly, Ivon Arroyo, Neil T. Heffernan:
Using ITS Generated Data to Predict Standardized Test Scores. 322-323 - Andrew S. Lan, Christoph Studer, Andrew E. Waters, Richard G. Baraniuk:
Joint Topic Modeling and Factor Analysis of Textual Information and Graded Response Data. 324-325 - Haiying Li, Arthur C. Graesser, Zhiqiang Cai:
Component Model in Discourse Analysis. 326-327 - Shoujing Li, Xiaolu Xiong, Joseph Beck:
Modeling student retention in an environment with delayed testing. 328-329 - Sen Liu, Jihie Kim, Sofus A. Macskassy:
Predicting Group Programming Project Performance using SVN Activity Traces. 330-331 - Keith E. Maull, Tamara Sumner:
Toward Predicting Test Score Gains With Online Behavior Data of Teachers. 332-333 - Bassam Mokbel, Sebastian Gross, Benjamin Paaßen, Niels Pinkwart, Barbara Hammer:
Domain-Independent Proximity Measures in Intelligent Tutoring Systems. 334-335 - Jonas C. Müller, André Kretzschmar, Samuel Greiff:
Exploring Exploration: Inquiries into Exploration Behavior in Complex Problem Solving Assessment. 336-337 - Tristan Nixon, Stephen Fancsali, Steven Ritter:
The Complex Dynamics of Aggregate Learning Curves. 338-339 - Shinichi Oeda, Kenji Yamanishi:
Extracting Time-evolving Latent Skills from Examination Time Series. 340-341 - Andrew Pawl:
Uncovering Class-Wide Patterns in Responses to True/False Questions. 342-343 - Dovan Rai, Joseph Beck, Ivon Arroyo:
Causal Modeling to Understand the Relationship between Student Attitudes, Affect and Outcomes. 344-345 - Lakshmi Ramachandran, Balaraman Ravindran, Edward F. Gehringer:
Determining Review Coverage by Extracting Topic Sentences Using A Graph-based Clustering Approach. 346-347 - Sergio Salmeron-Majadas, Olga C. Santos, Jesus Boticario:
Affective State Detection in Educational Systems through Mining Multimodal Data Sources. 348-349 - Daniel T. Seaton, Yoav Bergner, David E. Pritchard:
Exploring the relationship between course structure and etext usage in blended and open online courses. 350-351 - Jean Simon:
Data preprocessing using a priori knowledge. 352-353 - Jun Xie, Xudong Huang, Henry Hua, Jin Wang, Quan Tang, Scotty D. Craig, Arthur C. Graesser, King-Ip (David) Lin, Xiangen Hu:
Discovering the Relationship between Student Effort and Ability for Predicting the Performance of Technology-Assisted Learning in a Mathematics After-School Program. 354-355 - Yanbo Xu, Jack Mostow:
Using Item Response Theory to Refine Knowledge Tracing. 356-357 - Michael Yudelson, Kenneth R. Koedinger:
Estimating the benefits of student model improvements on a substantive scale. 358-359 - Zhilin Zheng:
A Dynamic Group Composition Method to Refine Collaborative Learning Group Formation. 360-361
Poster Presentations (Late Breaking Results Papers)
- Ani Aghababyan, Taylor Martin, Nicole Forsgren Velasquez, Philip Janisiewicz:
Educational Data Mining: Illuminating Student Learning Pathways in an Online Fraction Game. 362-363 - Sidney K. D'Mello, Jonathan Cobian, Matthew Hunter:
Automatic Gaze-Based Detection of Mind Wandering during Reading. 364-365 - Nobal B. Niraula, Vasile Rus, Dan Stefanescu:
DARE: Deep Anaphora Resolution in Dialogue based Intelligent Tutoring Systems. 366-367 - Laura K. Varner, G. Tanner Jackson, Erica L. Snow, Danielle S. McNamara:
Are You Committed? Investigating Interactions among Reading Commitment, Natural Language Input, and Students' Learning Outcomes. 368-369 - Jennifer L. Weston, Danielle S. McNamara:
Using Multi-level Models to Assess Data From an Intelligent Tutoring System. 370-371
Oral Presentations (Young Researchers Track)
- Michael Eagle, Tiffany Barnes:
Evaluation of Automatically Generated Hint Feedback. 372-374 - July Gomes, Mohamed Yassine, Marcelo Worsley, Paulo Blikstein:
Analysing Engineering Expertise of High School Students Using Eye Tracking and Multimodal Learning Analytics. 375-377 - Geraldine Gray, Colm McGuinness, Philip Owende:
Investigating the efficacy of algorithmic student modelling in predicting students at risk of failing in tertiary education. 378-380 - Andrew Hicks:
BOTS: Harnessing Player Data and Player Effort to Create and Evaluate Levels in a Serious Game. 381-383 - Paul Salvador Inventado, Roberto Sebastian Legaspi, Masayuki Numao:
Helping Students Manage Personalized Learning Scenarios. 384-386 - Behrooz Mostafavi, Tiffany Barnes:
Determining Problem Selection for a Logic Proof Tutor. 387-389
Interactive Events/Demos
- Angela Bovo, Stéphane Sanchez, Olivier Heguy, Yves Duthen:
Demonstration of a Moodle student monitoring web application. 390-391 - Marius Stefan Chiritoiu, Marian Cristian Mihaescu, Dumitru Dan Burdescu:
Students Activity Visualization Tool. 392-393 - Stephen L. France, Mahyar Vaghefi, William H. Batchelder:
FlexCCT: Software for Maximum Likelihood Cultural Consensus Theory. 394-395 - Agathe Merceron, Sebastian Schwarzrock, Margarita Elkina, Andreas Pursian, Liane Beuster, Albrecht Fortenbacher, Leonard Kappe, Boris Wenzlaff:
Visual Exploration of Interactions and Performance with LeMo. 396-397 - Robert Olson, Zachary Daily, John Malayny, Robert Szkutak:
Project CASSI: A Social-Graph Based Tool for Classroom Behavior Analysis and Optimization. 398-399 - Cristóbal Romero, Cristobal Castro, Sebastián Ventura:
A Moodle Block for Selecting, Visualizing and Mining Students' Usage Data. 400-401 - Vasile Rus, Rajendra Banjade, Mihai C. Lintean, Nobal B. Niraula, Dan Stefanescu:
SEMILAR: A Semantic Similarity Toolkit for Assessing Students' Natural Language Inputs. 402-403 - Sergio Salmeron-Majadas, Olga C. Santos, Jesus Boticario, Raúl Cabestrero, Pilar Quirós, Mar Saneiro:
Gathering Emotional Data from Multiple Sources. 404-405 - Borhan Samei, Fazel Keshtkar, Arthur C. Graesser:
A Tool for Speech Act Classification Using Interactive Machine Learning. 406-407
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