Accepted Papers and Posters
The list of accepted papers and posters is alphabetically ordered by title, with author names put as stored by EasyChair. Please advise the Submission Guidelines page for camera-ready instructions.
Accepted as Full Papers
A Data Model to Ease Analysis and Mining of Educational Data
Andre Krueger, Agathe Merceron and Benjamin Wolf
An Analysis of the Differences in the Frequency of Students’ Disengagement in Urban, Rural, and Suburban High Schools
Ryan Baker and Sujith M. Gowda
Analysis of Productive Learning Behaviors in a Structured Inquiry Cycle Using Hidden Markov Models
Hogyeong Jeong, Gautam Biswas, Julie Johnson and Larry Howard
Assessing Reviewer’s Performance Based on Mining Problem Localization in Peer-Review Data
Wenting Xiong, Diane Litman and Christian Schunn
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)?
Mingyu Feng and Neil Heffernan
Data Mining for Generating Hints in a Python Tutor
Anna Katrina Dominguez, Kalina Yacef and James R. Curran
Effort-based Tutoring: An Empirical Approach to Intelligent Tutoring. Nominee for Best Paper
Ivon Arroyo, Hasmik Mehranian and Beverly Park Woolf
Examining Learner Control in a Structured Inquiry Cycle Using Process Mining
Larry Howard, Julie Johnson and Carin Neitzel
Identifying High-Level Student Behavior Using time-based Motif Discovery
David H. Shanabrook, David G. Cooper, Beverly Park Woolf and Ivon Arroyo
Identifying Students’ Inquiry Planning Using Machine Learning
Orlando Montalvo, Ryan Baker, Michael Sao Pedro, Adam Nakama and Janice Gobert
Mining Bodily Patterns of Affective Experience during Learning
Sidney DMello and Art Graesser
Mining Rare Association Rules from e-Learning Data
Cristobal Romero, Jose Raul Romero, Jose Maria Luna and Sebastián Ventura
Navigating the parameter space of Bayesian Knowledge Tracing models: Visualizations of the convergence of the Expectation Maximization algorithm
Zachary Pardos and Neil Heffernan
Off Topic Conversation in Expert Tutoring: Waste of Time or Learning Opportunity
Blair Lehman, Whitney Cade and Andrew Olney
On the Generation of Simulated Student Performance Data
Michel Desmarais and Ildiko Pelczer
Online Curriculum Planning Behavior of Teachers. Nominee for Best Paper
Keith Maull, Manuel Saldivar and Tamara Sumner
Process Mining to Support Students’ Collaborative Writing. Nominee for Best Paper
Vilaythong Southavilay, Kalina Yacef and Rafael A. Calvo
Sentiment Analysis in Student Experiences of Learning
Sunghwan Mac Kim and Rafael A. Calvo
Skill Set Profile Clustering: The Empty K-Means Algorithm with Automatic Specification of Starting Cluster Centers
Rebecca Nugent, Nema Dean and Elizabeth Ayers
Unsupervised Discovery of Student Strategies
Benjamin Shih, Ken Koedinger and Richard Scheines
Using multiple Dirichlet distributions to improve parameter plausibility
Yue Gong, Joseph Beck and Neil Heffernan
Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System
Jon Fincham and John Anderson
Using Numeric Optimization To Refine Semantic User Model Integration Of Adaptive Educational Systems
Michael Yudelson, Peter Brusilovsky, Antonija Mitrovic and Moffat Mathews
Using Text Replay Tagging to Produce Detectors of Systematic Experimentation Behavior Patterns
Michael Sao Pedro, Ryan Baker, Orlando Montalvo, Adam Nakama and Janice Gobert
Accepted as Full Papers in the Young Researcher Track
An Annotations Approach to Peer Tutoring
John Champaign and Robin Cohen
Mining Students’ Interaction Data from a System that Support Learning by Reflection
Rajibussalim
Process Mining to Support Students’ Collaborative Writing
Vilaythong Southavilay, Kalina Yacef and Rafael A. Calvo
Using Educational Data Mining Methods to Study the Impact of Virtual Classroom in E-Learning
Mohammad Hassan Falakmasir, Jafar Habibi and Reza Motamedi
Accepted as Posters
A Case Study: Data Mining Applied to Student Enrollment
Cesar Vialardi, Jorge Chue, Alvaro Ortigosa, Alfredo Barrientos, Daniel Victoria, Jhonny Estrella and Juan Peche
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
Analyzing Learning Styles using Behavioral Indicators in Web based Learning Environments
Nabila Bousbia, Jean-Marc Labat, Issam Rebaï and Amar Balla
AutoJoin: Generalizing an Example into an EDM query
Jack Mostow and Bao Hong (Lucas) Tan
Automatic Rating of User-Generated Math Solutions
Turadg Aleahmad, Vincent Aleven and Robert Kraut
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
Clustering Student Learning Activity Data
Haiyun Bian
Conceptualizing Procedural Knowledge Targeted at Students with Different Skill Levels
Martin Mozina, Matej Guid, Aleksander Sadikov, Vida Groznik, Jana Krivec and Ivan Bratko
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
Data Reduction Methods Applied to Understanding Complex Learning Hypotheses
Philip Pavlik
Defining dropping-out in online higher education: a case study from the UOC
Josep Grau-Valldosera and Julià Minguillón
DISCUSS: Enabling Detailed Characterization of Tutorial Interactions Through Dialogue Annotation
Lee Becker, Wayne Ward and Sarel Van Vuuren
EDM Visualization Tool: Watching Students Learn
Matthew Johnson and Tiffany Barnes
Evaluating Global Software Teams Using Text Classification Methods
Kathleen Swigger, Fatma Cemile Serce and Victor Lopez
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
Higher Contributions Correlate with Higher Learning Gains
Carol Forsyth and Art Graesser
Inferring Differential Student Model in Probabilistic Domain Using Abduction inference in Bayesian networks
Nabila Khodeir, Nayer Wanas, Nevin Darwish and Nadia Hegazy
Investigating the Generality of Performance of Alternative Methods for Making Error Attribution in Intelligent Tutoring Systems
Adaeze Nwaigwe and Kenneth Koedinger
Is Students’ Activity in LMS Persistent?
Arnon Hershkovitz and Rafi Nachmias
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
Pinpointing Learning Moments; A finer grain P(J) model
Adam Goldstein, Ryan S.J.D. Baker and Neil Heffernan
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
Representing Student Performance with Partial Credit
Yutao Wang, Neil Heffernan and Joseph Beck
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
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
Tracking Students’ Inquiry Paths through Student Transition Analysis
Matt Bachmann, Janice Gobert and Joseph Beck
Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems
John Stamper, Tiffany Barnes and Marvin Croy
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
When Data Exploration and Data Mining meet: Analysis of a Cours
Andre Krueger, Agathe Merceron and Benjamin Wolf
Where in the World? Demographic Patterns in Access Data
Mimi Recker, Beijie Xu, Sherry Hsi and Christine Garrard