3. EDM 2010:
Pittsburgh,
PA,
USA
Ryan Shaun Joazeiro de Baker, Agathe Merceron, Philip I. Pavlik Jr. (Eds.):
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 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 Kraut:
Automatic Rating of User-Generated Math Solutions.
267-268
- Matt Bachmann, Janice 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
- Matt 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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