Poster Schedule
Posters will be presented in two sessions, on Saturday and Sunday afternoon (12:30-14:00, NSH Artium), right after lunch (see the full program for more details), NSH Artium. Here is the full list of posters.
Saturday Session
A Data Driven Approach to the Discovery of Better Cognitive Models
John Stamper and Kenneth Koedinger
A Distillation Approach to Refining Learning Objects
John Champaign and Robin Cohen
A Review of Student Churn in the Light of Theories on Business Relationships
Jaan Ubi and Innar Liiv
Analysis of a causal modeling approach: a case study with an educational intervention
Dovan Rai and Joseph Beck
When Data Exploration and Data Mining meet while analysing a Course
Andre Krueger, Agathe Merceron and Benjamin Wolf
AutoJoin: Generalizing an Example into an EDM query
Jack Mostow and Bao Hong (Lucas) Tan
Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems
John Stamper, Tiffany Barnes and Marvin Croy
Can order of access to learning resources predict succes?
Hema Soundranayagam and Kalina Yacef
Class Association Rules Mining from Students’ Test Data
Cristobal Romero, Sebastián Ventura, Ekaterina Vasilyeva and Mykola Pechenizkiy
Tracking Students’ Inquiry Paths through Student Transition Analysis
Matt Bachmann, Janice Gobert and Joseph Beck
Conceptualizing Procedural Knowledge Targeted at Students with Different Skill Levels
Martin Mozina, Matej Guid, Aleksander Sadikov, Vida Groznik, Jana Krivec and Ivan Bratko
Towards EDM Framework for Personalization of Information Services in RPM Systems
Ekaterina Vasilyeva, Mykola Pechenizkiy, Aleksandra Tesanovic, Evgeny Knutov, Paul De Bra and Sicco Verwer
Data Reduction Methods Applied to Understanding Complex Learning Hypotheses
Philip Pavlik
Representing Student Performance with Partial Credit
Yutao Wang, Neil Heffernan and Joseph Beck
EDM Visualization Tool: Watching Students Learn
Matthew Johnson and Tiffany Barnes
Pinpointing Learning Moments; A finer grain P(J) model
Adam Goldstein, Ryan S.J.D. Baker and Neil Heffernan
A Preliminary Investigation of Hierarchical Hidden Markov Models for Tutorial Planning
Kristy Elizabeth Boyer, Robert Phillips, Eun Young Ha, Mladen Vouk and James Lester
Hierarchical Structures of Content Items in LMS
Sharon Hardof-Jaffe, Arnon Hershkovitz, Ronit Azran and Rafi Nachmias
Is Students’ Activity in LMS Persistent?
Arnon Hershkovitz and Rafi Nachmias
Sunday Session
A Case Study: Data Mining Applied to Student Enrollment
Cesar Vialardi, Jorge Chue, Alvaro Ortigosa, Alfredo Barrientos, Daniel Victoria, Jhonny Estrella and Juan Peche
Higher Contributions Correlate with Higher Learning Gains
Carol Forsyth and Art Graesser
Mining information from tutor data to improve pedagogical content knowledge
Suchismita Srinivasa, Muntaquim Bagadia and Anupriya Gupta
Modeling Learning Trajectories with Epistemic Network Analysis: A Simulation-based Investigation of a Novel Analytic Method for Epistemic Games
Andre Rupp, Shauna Sweet and Younyoung Choi
Multiple Test Forms Construction based on Bees Algorithm
Pokpong Songmuang and Maomi Ueno
Observing Online Curriculum Planning Behavior of Teachers
Keith Maull, Manuel Saldivar and Tamara Sumner
Peer Production Of Online Learning Resources: A Social Network Analysis
Beijie Xu and Mimi Recker
Predicting Students Performance Using Data Mining Methods
Sandra Grujic and Mihaela Vranic
Predicting Task Completion from Rich but Scarce Data
José González-Brenes and Jack Mostow
Pundit: Intelligent Recommender of Courses
Ankit Ranka, Faisal Anwar and Hui Soo Chae
DISCUSS: Enabling Detailed Characterization of Tutorial Interactions Through Dialogue Annotation
Lee Becker, Wayne Ward and Sarel Van Vuuren
Text and Sentiment Mining of SMS Texts in Teaching Evaluation 39 Where in the World? Demographic Patterns in Access Data
Chee Kian Leong, Yew Haur Lee and Wai Keong Mak
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
James Bernauer and Jay Powell
Clustering Student Learning Activity Data
Haiyun Bian
Automatic Rating of User-Generated Math Solutions
Turadg Aleahmad, Vincent Aleven and Robert Kraut
Using LiMS (the Learner Interaction Monitoring System) to Track Online Learner Engagement and Evaluate Course Design
Leah Macfadyen and Peter Sorenson
Using Topic Models to Bridge Coding Schemes of Differing Granularity
Whitney Cade and Andrew Olney
Analyzing Learning Styles using Behavioral Indicators in Web based Learning Environments
Nabila Bousbia, Jean-Marc Labat, Issam Rebaï and Amar Balla
Where in the World? Demographic Patterns in Access Data
Mimi Recker, Beijie Xu, Sherry Hsi and Christine Garrard