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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