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ORCID3rd EDM 2010: Pittsburgh, PA, USA
- Ryan Shaun Joazeiro de Baker, Agathe Merceron, Philip I. Pavlik Jr.:
Educational Data Mining 2010, The 3rd International Conference on Educational Data Mining, Pittsburgh, PA, USA, June 11-13, 2010. Proceedings. www.educationaldatamining.org 2010, ISBN 978-0-615-37529-8 - Ivon Arroyo, Hasmik Meheranian, Beverly Park Woolf:
Effort-based Tutoring: An Empirical Approach to Intelligent Tutoring. 1-10 - Ryan Shaun Joazeiro de Baker, Sujith M. Gowda:
An Analysis of the Differences in the Frequency of Students' Disengagement in Urban, Rural, and Suburban High Schools. 11-20 - Michel C. Desmarais, Ildikó Pelczer:
On the Faithfulness of Simulated Student Performance Data. 21-30 - Sidney K. D'Mello, Arthur C. Graesser:
Mining Bodily Patterns of Affective Experience during Learning. 31-40 - Mingyu Feng, Neil T. Heffernan:
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)? 41-50 - Jon M. Fincham, John R. Anderson, Shawn A. Betts, Jennifer L. Ferris:
Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System. 51-60 - Yue Gong, Joseph E. Beck, Neil T. Heffernan:
Using multiple Dirichlet distributions to improve parameter plausibility. 61-70 - Larry Howard, Julie Johnson, Carin Neitzel:
Examining Learner Control in a Structured Inquiry Cycle Using Process Mining. 71-80 - Hogyeong Jeong, Gautam Biswas, Julie Johnson, Larry Howard:
Analysis of Productive Learning Behaviors in a Structured Inquiry Cycle Using Hidden Markov Models. 81-90 - Anna Katrina Dominguez, Kalina Yacef, James R. Curran:
Data Mining for Generating Hints in a Python Tutor. 91-100 - Blair Lehman, Whitney L. Cade, Andrew Olney:
Off Topic Conversation in Expert Tutoring: Waste of Time or Learning Opportunity. 101-110 - Sunghwan Mac Kim, Rafael A. Calvo:
Sentiment Analysis in Student Experiences of Learning. 111-120 - Keith E. Maull, Manuel Gerardo Saldivar, Tamara Sumner:
Online Curriculum Planning Behavior of Teachers. 121-130 - André Krüger, Agathe Merceron, Benjamin Wolf:
A Data Model to Ease Analysis and Mining of Educational Data. 131-140 - Orlando Montalvo, Ryan Shaun Joazeiro de Baker, Michael A. Sao Pedro, Adam Nakama, Janice D. Gobert:
Identifying Students' Inquiry Planning Using Machine Learning. 141-150 - Rebecca Nugent, Nema Dean, Elizabeth Ayers:
Skill Set Profile Clustering: The Empty K-Means Algorithm with Automatic Specification of Starting Cluster Centers. 151-160 - Zachary A. Pardos, Neil T. Heffernan:
Navigating the parameter space of Bayesian Knowledge Tracing models: Visualizations of the convergence of the Expectation Maximization algorithm. 161-170 - Cristóbal Romero, José Raúl Romero, José María Luna, Sebastián Ventura:
Mining Rare Association Rules from e-Learning Data. 171-180 - Michael Sao Pedro, Ryan Shaun Joazeiro de Baker, Orlando Montalvo, Adam Nakama, Janice D. Gobert:
Using Text Replay Tagging to Produce Detectors of Systematic Experimentation Behavior Patterns. 181-190 - David H. Shanabrook, David G. Cooper, Beverly Park Woolf, Ivon Arroyo:
Identifying High-Level Student Behavior Using Sequence-based Motif Discovery. 191-200 - Benjamin Shih, Kenneth R. Koedinger, Richard Scheines:
Unsupervised Discovery of Student Strategies. 201-210 - Wenting Xiong, Diane J. Litman, Christian D. Schunn:
Assessing Reviewer's Performance Based on Mining Problem Localization in Peer-Review Data. 211-220 - Michael Yudelson, Peter Brusilovsky, Antonija Mitrovic, Moffat Mathews:
Using Numeric Optimization To Refine Semantic User Model Integration Of Adaptive Educational Systems. 221-230 - John Champaign, Robin Cohen:
An Annotations Approach to Peer Tutoring. 231-240 - Mohammad Hassan Falakmasir, Jafar Habibi:
Using Educational Data Mining Methods to Study the Impact of Virtual Classroom in E-Learning. 241-248 - Rajibussalim:
Mining Students' Interaction Data from a System that Support Learning by Reflection. 249-256 - Vilaythong Southavilay, Kalina Yacef, Rafael A. Calvo:
Process Mining to Support Students' Collaborative Writing. 257-266 - Turadg Aleahmad, Vincent Aleven, Robert E. Kraut:
Automatic Rating of User-Generated Math Solutions. 267-268 - Matthew Bachmann, Janice D. Gobert, Joseph Beck:
Tracking Students' Inquiry Paths through Student Transition Analysis. 269-270 - Lee Becker, Wayne H. Ward, Sarel van Vuuren:
DISCUSS: Enabling Detailed Characterization of Tutorial Interactions Through Dialogue Annotation. 271-272 - James Bernauer, Jay Powell:
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. 273-274 - Suchismita Srinivas, Muntaquim Bagadia, Anupriya Gupta:
Mining information from tutor data to improve pedagogical content knowledge. 275-276 - Haiyun Bian:
Clustering Student Learning Activity Data. 277-278 - Nabila Bousbia, Jean-Marc Labat, Amar Balla, Issam Rebaï:
Analyzing Learning Styles using Behavioral Indicators in Web based Learning Environments. 279-280 - Whitney L. Cade, Andrew Olney:
Using Topic Models to Bridge Coding Schemes of Differing Granularity. 281-282 - John Champaign, Robin Cohen:
A Distillation Approach to Refining Learning Objects. 283-284 - Kristy Elizabeth Boyer, Robert Phillips, Eunyoung Ha, Michael D. Wallis, Mladen A. Vouk, James C. Lester:
A Preliminary Investigation of Hierarchical Hidden Markov Models for Tutorial Planning. 285-286 - Carol Forsyth, Heather Butler, Arthur C. Graesser, Diane F. Halpern:
Higher Contributions Correlate with Higher Learning Gains. 287-288 - Adam B. Goldstein, Ryan Shaun Joazeiro de Baker, Neil T. Heffernan:
Pinpointing Learning Moments; A finer grain P(J) model. 289-290 - José P. González-Brenes, Jack Mostow:
Predicting Task Completion from Rich but Scarce Data. 291-292 - Sharon Hardof-Jaffe, Arnon Hershkovitz, Ronit Azran, Rafi Nachmias:
Hierarchical Structures of Content Items in LMS. 293-294 - Arnon Hershkovitz, Rafi Nachmias:
Is Students' Activity in LMS Persistent?. 295-296 - Matthew W. Johnson, Tiffany Barnes:
EDM Visualization Tool: Watching Students Learn. 297-298 - Nabila Khodeir, Nayer M. Wanas, Nevin Mahmoud Darwish, Nadia Hegazy:
Inferring the Differential Student Model in a Probabilistic Domain Using Abduction inference in Bayesian networks. 299-300 - Leah Macfadyen, Peter Sorenson:
Using LiMS (the Learner Interaction Monitoring System) to Track Online Learner Engagement and Evaluate Course Design. 301-302 - Keith E. Maull, Manuel Gerardo Saldivar, Tamara Sumner:
Observing Online Curriculum Planning Behavior of Teachers. 303-304 - André Krüger, Agathe Merceron, Benjamin Wolf:
When Data Exploration and Data Mining meet while Analysing Usage Data of a Course. 305-306 - Jack Mostow, Bao Hong (Lucas) Tan:
AutoJoin: Generalizing an Example into an EDM query. 307-308 - Martin Mozina, Matej Guid, Aleksander Sadikov, Vida Groznik, Jana Krivec, Ivan Bratko:
Conceptualizing Procedural Knowledge Targeted at Students with Different Skill Levels. 309-310 - Philip I. Pavlik Jr.:
Data Reduction Methods Applied to Understanding Complex Learning Hypotheses. 311-312 - Dovan Rai, Joseph E. Beck:
Analysis of a causal modeling approach: a case study with an educational intervention. 313-314 - Beijie Xu, Mimi Recker:
Peer Production of Online Learning Resources: A Social Network Analysis. 315-316 - Cristóbal Romero, Sebastián Ventura, Ekaterina Vasilyeva, Mykola Pechenizkiy:
Class Association Rules Mining from Students' Test Data. 317-318 - Andre A. Rupp, Shauna J. Sweet, Younyoung Choi:
Modeling Learning Trajectories with Epistemic Network Analysis: A Simulation-based Investigation of a Novel Analytic Method for Epistemic Games. 319-320 - Pokpong Songmuang, Maomi Ueno:
Multiple Test Forms Construction based on Bees Algorithm. 321-322 - Hema Soundranayagam, Kalina Yacef:
Can Order of Access to Learning Resources Predict Success?. 323-324 - Kenneth R. Koedinger, John C. Stamper:
A Data Driven Approach to the Discovery of Better Cognitive Models. 325-326 - John C. Stamper, Tiffany Barnes, Marvin J. Croy:
Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems. 327-328 - Jaan Ubi, Innar Liiv:
A Review of Student Churn in the Light of Theories on Business Relationships. 329-330 - Ekaterina Vasilyeva, Mykola Pechenizkiy, Aleksandra Tesanovic, Evgeny Knutov, Sicco Verwer, Paul De Bra:
Towards EDM Framework for Personalization of Information Services in RPM Systems. 331-332 - César Vialardi Sacín, Jorge Chue, Alfredo Barrientos, Daniel Victoria, Jhonny Estrella, Juan Pablo Peche, Alvaro Ortigosa:
A Case Study: Data Mining Applied to Student Enrollment. 333-334 - Yutao Wang, Neil T. Heffernan, Joseph E. Beck:
Representing Student Performance with Partial Credit. 335-336 - Mimi Recker, Beijie Xu, Sherry Hsi, Christine Garrard:
Where in the World? Demographic Patterns in Access Data. 337-338 - Ankit Ranka, Faisal Anwar, Hui Soo Chae:
Pundit: Intelligent Recommender of Courses. 339-340
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