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ORCID7th EDM 2014: London, UK
- John C. Stamper, Zachary A. Pardos, Manolis Mavrikis, Bruce M. McLaren:
Proceedings of the 7th International Conference on Educational Data Mining, EDM 2014, London, UK, July 4-7, 2014. International Educational Data Mining Society (IEDMS) 2014, ISBN 978-0-9839-5254-1
Full Papers
- Jan Papousek, Radek Pelánek, Vít Stanislav:
Adaptive Practice of Facts in Domains with Varied Prior Knowledge. 6-13 - Yuan Sun, Shiwei Ye, Shunya Inoue, Yi Sun:
Alternating Recursive Method for Q-matrix Learning. 14-20 - Radek Pelánek:
Application of Time Decay Functions and the Elo System in Student Modeling. 21-27 - Stephen Fancsali:
Causal Discovery with Models: Behavior, Affect, and Learning in Cognitive Tutor Algebra. 28-35 - Min Chi, Daniel L. Schwartz, Kristen Pilner Blair, Doris B. Chin:
Choice-based Assessment: Can Choices Made in Digital Games Predict 6th-Grade Students' Math Test Scores? 36-43 - Diego Luna Bazaldua, Ryan S. Baker, Maria Ofelia San Pedro:
Comparing Expert and Metric-Based Assessments of Association Rule Interestingness. 44-51 - Tanja Käser, Kenneth R. Koedinger, Markus H. Gross:
Different parameters - same prediction: An analysis of learning curves. 52-59 - Mirka Saarela, Tommi Kärkkäinen:
Discovering Gender-Specific Knowledge from Finnish Basic Education using PISA Scale Indices. 60-67 - Avi Segal, Ziv Katzir, Kobi Gal, Guy Shani, Bracha Shapira:
EduRank: A Collaborative Filtering Approach to Personalization in E-learning. 68-75 - Michael Eagle, Tiffany Barnes:
Exploring Differences in Problem Solving with Data-Driven Approach Maps. 76-83 - Yun Huang, José P. González-Brenes, Peter Brusilovsky:
General Features in Knowledge Tracing to Model Multiple Subskills, Temporal Item Response Theory, and Expert Knowledge. 84-91 - Barry W. Peddycord III, Andrew Hicks, Tiffany Barnes:
Generating Hints for Programming Problems Using Intermediate Output. 92-98 - Mohammad Khajah, Rowan Wing, Robert V. Lindsey, Michael Mozer:
Integrating latent-factor and knowledge-tracing models to predict individual differences in learning. 99-106 - Ran Liu, Elizabeth A. McLaughlin, Kenneth R. Koedinger:
Interpreting model discovery and testing generalization to a new dataset. 107-113 - Seong Jae Lee, Yun-En Liu, Zoran Popovic:
Learning Individual Behavior in an Educational Game: A Data-Driven Approach. 114-121 - Joseph F. Grafsgaard, Joseph B. Wiggins, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester:
Predicting Learning and Affect from Multimodal Data Streams in Task-Oriented Tutorial Dialogue. 122-129 - Miaomiao Wen, Diyi Yang, Carolyn Penstein Rosé:
Sentiment Analysis in MOOC Discussion Forums: What does it tell us? 130-137 - Bertrand Schneider, Roy Pea:
The Effect of Mutual Gaze Perception on Students' Verbal Coordination. 138-144 - Michael Wixon, Ivon Arroyo, Kasia Muldner, Winslow Burleson, Dovan Rai, Beverly Park Woolf:
The Opportunities and Limitations of Scaling Up Sensor-Free Affect Detection. 145-152 - Julio Guerra, Shaghayegh Sahebi, Yu-Ru Lin, Peter Brusilovsky:
The Problem Solving Genome: Analyzing Sequential Patterns of Student Work with Parameterized Exercises. 153-160 - Yun-En Liu, Travis Mandel, Emma Brunskill, Zoran Popovic:
Trading Off Scientific Knowledge and User Learning with Multi-Armed Bandits. 161-168 - Russell G. Almond, Ilya M. Goldin, Yuhua Guo, Nan Wang:
Vertical and Stationary Scales for Progress Maps. 169-176 - Yoav Bergner, Zhan Shu, Alina A. von Davier:
Visualization and Confirmatory Clustering of Sequence Data from a Simulation-Based Assessment Task. 177-184 - Erica L. Snow, Laura K. Varner, Devin G. Russell, Danielle S. McNamara:
Who's in Control?: Categorizing Nuanced Patterns of Behaviors within a Game-Based Intelligent Tutoring System. 185-192
Short papers
- Thushari Atapattu, Katrina Falkner, Nickolas J. G. Falkner:
Acquisition of Triples of Knowledge from Lecture Notes: A Natural Langauge Processing Approach. 193-196 - Dan Stefanescu, Vasile Rus, Arthur C. Graesser:
Towards Assessing Students' Prior Knowledge from Tutorial Dialogues. 197-201 - Marios Kokkodis, Anitha Kannan, Krishnaram Kenthapadi:
Assigning Educational Videos at Appropriate Locations in Textbooks. 201-204 - Michael Yudelson, Stephen Fancsali, Steven Ritter, Susan R. Berman, Tristan Nixon, Ambarish Joshi:
Better Data Beats Big Data. 205-208 - Lalitha Agnihotri, Alexander Ott:
Building a Student At-Risk Model: An End-to-End Perspective From User to Data Scientist. 209-212 - Ling Tan, Xiaoxun Sun, Siek Toon Khoo:
Can Engagement be Compared? Measuring Academic Engagement for Comparison. 213-216 - Rohit Kumar, Matthew E. Roy, R. Bruce Roberts, John Makhoul:
Comparison of Algorithms for Automatically Building Example-Tracing Tutor Models. 217-220 - Daniel Bengs, Ulf Brefeld:
Computer-based Adaptive Speed Tests. 221-224 - Krisztina Tóth, Heiko Rölke, Samuel Greiff, Sascha Wüstenberg:
Discovering Students' Complex Problem Solving Strategies in Educational Assessment. 225-228 - Carol Forsyth, Arthur C. Graesser, Philip I. Pavlik Jr., Keith K. Millis, Borhan Samei:
Discovering Theoretically Grounded Predictors of Shallow vs. Deep- level Learning. 229-232 - Borhan Samei, Andrew Olney, Sean Kelly, Martin Nystrand, Sidney K. D'Mello, Nathaniel Blanchard, Xiaoyi Sun, Marci Glaus, Arthur C. Graesser:
Domain Independent Assessment of Dialogic Properties of Classroom Discourse. 233-236 - Collin F. Lynch, Kevin D. Ashley:
Empirically Valid Rules for Ill-Defined Domains. 237-240 - Erica L. Snow, Matthew E. Jacovina, Laura K. Varner, Jianmin Dai, Danielle S. McNamara:
Entropy: A Stealth Measure of Agency in Learning Environments. 241-244 - Brent Morgan, William Baggett, Vasile Rus:
Error Analysis as a Validation of Learning Progressions. 245-248 - Michael Eagle, Vinaya Polamreddi, Behrooz Mostafavi, Tiffany Barnes:
Exploration of Student's Use of Rule Application References in a Propositional Logic Tutor. 249-252 - Benjamin Nye, Mustafa H. Hajeer, Carol Forsyth, Borhan Samei, Xiangen Hu, Keith K. Millis:
Exploring real-time student models based on natural-language tutoring sessions. 253-256 - Diyi Yang, Mario Piergallini, Iris K. Howley, Carolyn Penstein Rosé:
Forum Thread Recommendation for Massive Open Online Courses. 257-260 - Michael Yudelson, Roya Hosseini, Arto Vihavainen, Peter Brusilovsky:
Investigating Automated Student Modeling in a Java MOOC. 261-264 - Nobal B. Niraula, Vasile Rus, Dan Stefanescu, Arthur C. Graesser:
Mining Gap-fill Questions from Tutorial Dialogues. 265-268 - Benjamin Clément, Pierre-Yves Oudeyer, Didier Roy, Manuel Lopes:
Online Optimization of Teaching Sequences with Multi-Armed Bandits. 269-272 - Suhang Jiang, Adrienne E. Williams, Katerina Schenke, Mark Warschauer, Diane K. O'Dowd:
Predicting MOOC performance with Week 1 Behavior. 273-275 - Maria Ofelia San Pedro, Jaclyn Ocumpaugh, Ryan S. Baker, Neil T. Heffernan:
Predicting STEM and Non-STEM College Major Enrollment from Middle School Interaction with Mathematics Educational Software. 276-279 - Andrew S. Lan, Christoph Studer, Richard G. Baraniuk:
Quantized Matrix Completion for Personalized Learning. 280-283 - Luc Paquette, Adriana M. J. B. de Carvalho, Ryan S. Baker, Jaclyn Ocumpaugh:
Reengineering the Feature Distillation Process: A case study in detection of Gaming the System. 284-287 - Andy Smith, Eric N. Wiebe, Bradford W. Mott, James C. Lester:
SKETCHMINER: Mining Learner-Generated Science Drawings with Topological Abstraction. 288-291 - Shlomi Boutnaru, Arnon Hershkovitz:
Teachers and Students Learn Cyber Security: Comparing Software Quality, Security. 292-295 - Korinn Ostrow, Neil T. Heffernan:
Testing the Multimedia Principle in the Real World: A Comparison of Video vs. Text Feedback in Authentic Middle School Math Assignments. 296-299 - Scott A. Crossley, Kris Kyle, Laura K. Varner, Danielle S. McNamara:
The Importance of Grammar and Mechanics in Writing Assessment and Instruction: Evidence from Data Mining. 300-303 - Laura K. Varner, Erica L. Snow, Danielle S. McNamara:
The Long and Winding Road: Investigating the Differential Writing Patterns of High and Low Skilled Writers. 304-407 - Michel C. Desmarais, Behzad Beheshti, Peng Xu:
The refinement of a Q-matrix: Assessing methods to validate tasks to skills mapping. 208-311 - Sarah E. Schultz, Ivon Arroyo:
Tracing Knowledge and Engagement in Parallel in an Intelligent Tutoring System. 312-315 - Erica L. Snow, Laura K. Varner, Danielle S. McNamara:
Tracking Choices: Computational Analysis of Learning Trajectories. 316-319 - Bertrand Schneider, Paulo Blikstein:
Unraveling Students' Interaction Around a Tangible Interface Using Gesture Recognition. 320-323
Posters
- Priscylla Silva, Robert Pinheiro, Evandro Costa:
A Predictive Model for Video Lectures Classification. 325-326 - Javier Fuentes, Cristóbal Romero, Carlos García-Martínez, Sebastián Ventura:
Accepting or Rejecting Students_ Self-grading in their Final Marks by using Data Mining. 327-328 - Eiji Watanabe, Takashi Ozeki, Takeshi Kohama:
Analysis and extraction of behaviors by students in lectures. 329-330 - Jan Géryk, Lubomír Popelínský:
Analysis of Student Retention and Drop-out using Visual Analytics. 331-332 - Lisa Mintz, Dan Stefanescu, Shi Feng, Sidney K. D'Mello, Arthur C. Graesser:
Automatic assessment of student reading comprehension from short summaries. 333-334 - Donald M. Morrison, Benjamin Nye, Borhan Samei, Vivek V. Datla, Craig Kelly, Vasile Rus:
Building an Intelligent PAL from the Tutor.com Session Database Phase 1: Data Mining. 335-336 - Elizabeth Rowe, Ryan S. Baker, Jodi Asbell-Clarke, Emily Kasman, William J. Hawkins:
Building Automated Detectors of Gameplay Strategies to Measure Implicit Science Learning. 337-338 - Wolney Leal De Mello Neto, Eduardo Barbosa, Felipe García, Leonardo Carvalho, Nicolau Leal Werneck, Pedro Carvalho:
Challenges on adopting BKT to model student knowledge in multi-context online learning platform. 339-340 - Michael Koch, Markus Ring, Florian Otto, Dieter Landes:
Combination of statistical and semantic data sources for the improvement of software engineering courses (Vision Paper). 341-342 - Kimberly F. Colvin, John Champaign, Alwina Liu, Colin Fredericks, David E. Pritchard:
Comparing Learning in a MOOC and a Blended, On-Campus Course. 343-344 - Ryan S. Baker, Jaclyn Ocumpaugh:
Cost-Effective, Actionable Engagement Detection at Scale. 345-346 - Sohail Javaad Syed, Yuheng Helen Jiang, Lukasz Golab:
Data mining of undergraduate course evaluations. 347-348 - Keith W. Brawner:
Data Sharing: Low-Cost Sensors for Affect and Cognition. 349-350 - Anna N. Rafferty, Thomas L. Griffiths:
Diagnosing Algebra Understanding via Bayesian Inverse Planning. 351-352 - Thomas S. McTavish, Johann Ari Larusson:
Discovering and describing types of mathematical errors. 353-354 - Richard Scheines, Elizabeth Silver, Ilya M. Goldin:
Discovering Prerequisite Relationships Among Knowledge Components. 355-356 - Zhilin Zheng, Niels Pinkwart:
Dynamic Re-Composition of Learning Groups Using PSO-Based Algorithms. 357-358 - Zhongmei Shu, Qiong-Fei Qu, Lu-Qi Feng:
Educational Data Mining and Analyzing of Student Learning Outcomes from the Perspective of Learning Experience. 359-360 - Yanbo Xu, Kai-min Chang, Yueran Yuan, Jack Mostow:
Using EEG in Knowledge Tracing. 361-362 - I-Han Hsiao, Hui Soo Chae, Manav Malhotra, Ryan S. Baker, Gary Natriello:
Exploring Engaging Dialogues in Video Discussions. 363-364 - Sergio Salmeron-Majadas, Olga C. Santos, Jesus Boticario:
Exploring indicators from keyboard and mouse interactions to predict the user affective state. 365-366 - Shinichi Oeda, Yu Ito, Kenji Yamanishi:
Extracting Latent Skills from Time Series of Asynchronous and Incomplete Examinations. 367-368 - Ambarish Joshi, Stephen Fancsali, Steven Ritter, Tristan Nixon, Susan R. Berman:
Generalizing and Extending a Predictive Model for Standardized Test Scores Based On Cognitive Tutor Interactions. 369-370 - Stefan Pero, Tomás Horváth:
How patterns in source codes of students can help in detection of their programming skills? 371-372 - Aysu Ezen-Can, Kristy Elizabeth Boyer:
A Preliminary Investigation of Learner Characteristics for Unsupervised Dialogue Act Classification. 373-374 - Xiaolu Xiong, Seth Adjei, Neil T. Heffernan:
Improving Retention Performance Prediction with Prerequisite Skill Features. 375-376 - Manolis Mavrikis, Sergio Gutiérrez Santos, Alexandra Poulovassilis, Zheng Zhu:
Indicator Visualization for Adaptive Exploratory Learning Environments. 377-378 - Nicole Forsgren Velasquez, Ilya M. Goldin, Taylor Martin, Jason Maughan:
Learning Aid Use Patterns and Their Impact on Exam Performance in Online Developmental Mathematics. 379-380 - Mykola Pechenizkiy, Pedro A. Toledo:
Learning to Teach like a Bandit. 381-382 - Collin F. Lynch, Mohammad Hassan Falakmasir, Kevin D. Ashley:
Matching Hypothesis Text in Diagrams and Essays. 383-384 - Carlotta Schatten, Ruth Janning, Manolis Mavrikis, Lars Schmidt-Thieme:
Matrix Factorization Feasibility for Sequencing and Adaptive Support in Intelligent Tutoring Systems. 385-386 - Taylor Martin, Nicole Forsgren Velasquez, Ani Aghababyan, Jason Maughan, Philip Janisiewicz:
Microgenetic Designs for Educational Data Mining Research: Poster. 387-388 - Cheng Ye, John S. Kinnebrew, Gautam Biswas:
Mining and Identifying Relationships Among Sequential Patterns in Multi-Feature, Hierarchical Learning Activity Data. 389-390 - André Vale, Sara C. Madeira, Cláudia Antunes:
Mining coherent evolution patterns in education through biclustering. 391-392 - Andreia Silva, Cláudia Antunes:
Mining Multi-dimensional Patterns for Student Modelling. 393-394 - Terry Peckham, Gordon McCalla:
Mining Reading Comprehension Within Educational Objective Frameworks. 395-396 - Sergio Gutiérrez Santos, Manolis Mavrikis, Alexandra Poulovassilis:
Mining students' strategies to enable collaborative learning. 397-398 - Whitney L. Cade, Nia Dowell, Arthur C. Graesser, Yla R. Tausczik, James W. Pennebaker:
Modeling Student Socioaffective Responses to Group Interactions in a Collaborative Online Chat Environment. 399-400 - Laura K. Allen, Erica L. Snow, Danielle S. McNamara:
Now We're Talking: Leveraging the Power of Natural Language Processing to Inform ITS Development. 401-402 - Matthieu Cisel, Rémi Bachelet, Eric Bruillard:
Peer assessment in the first French MOOC : Analyzing assessors' behavior. 403-404 - Diyi Yang, Miaomiao Wen, Carolyn P. Rosé:
Peer Influence on Attrition in Massively Open Online Courses. 405-406 - Jeonghyun Kim, Yeonjeong Park, Jongwoo Song, Il-Hyun Jo:
Predicting students' learning achievement by using online learning patterns in blended learning environments: Comparison of two cases on linear and non-linear model. 407-408 - Behzad Beheshti, Michel C. Desmarais:
Predictive performance of prevailing approaches to skills assessment techniques: Insights from real vs. synthetic data sets. 409-410 - April Galyardt, Ilya M. Goldin:
Recent-Performance Factors Analysis. 411-412 - Seth Adjei, Douglas Selent, Neil T. Heffernan, Zachary A. Pardos, Angela Broaddus, Neal Kingston:
Refining Learning Maps with Data Fitting Techniques: Searching for Better Fitting Learning Maps. 413-414 - Mariheida Cordova-Sanchez, Parameswaran Raman, Luo Si, Jason Fish:
Relevancy prediction of micro-blog questions in an educational setting. 415-416 - Fábio Carballo, Cláudia Antunes:
Singular Value Decomposition in Education: a case study on recommending courses. 417-418 - Diego García-Saiz, Camilo Palazuelos, Marta E. Zorrilla:
The predictive power of the SNA metrics for education. 419-420 - Antonio Moretti, José P. González-Brenes, Katherine McKnight:
Data-Driven Curriculum Design: Mining the Web to Make Better Teaching Decisions. 421-422 - Manuel Hernando, Eduardo Guzmán, Sergey A. Sosnovsky, Eric Andres, Susanne Narciss:
Towards IRT-based student modeling from problem solving steps. 423-424 - Mingyu Feng:
Towards Uncovering the Mysterious World of Math Homework. 425-426 - Ben-Manson Toussaint, Vanda Luengo, Jérôme Tonetti:
Towards Using Similarity Measure for Automatic Detection of Significant Behaviors from Continuous Data. 427-428 - Fritz Ray, Keith W. Brawner, Robby Robson:
Using Data Mining to Automate ADDIE. 429-430 - Marcelo Worsley, Paulo Blikstein:
Using Multimodal Learning Analytics to Study Learning Mechanisms. 431-432 - Juraj Niznan, Radek Pelánek, Jirí Rihák:
Using Problem Solving Times and Expert Opinion to Detect Skills. 433-434
Young Researcher Papers
- Bertrand Schneider:
Toward Collaboration Sensing: Multimodal Detection of the Chameleon Effect in Collaborative Learning Settings. 435-437 - Charles Lang:
The Use of Student Confidence for Prediction & Resolving Individual Student Knowledge Structure. 438-440 - Roghayeh Barmaki:
Nonverbal Communication and Teaching Performance. 441-443 - Michael Eagle, Tiffany Barnes:
Data-Driven Feedback Beyond Next-Step Hints. 444-446 - Ani Aghababyan:
E3: Emotions, Engagement and Educational Games. 447-451 - Yuan Wang:
MOOC Leaner Motivation and Learning Pattern Discovery. 452-454 - Avi Segal:
Personalization and Incentive Design in E-Learning Systems. 455-457
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