Full Schedule

Sentiment Analysis in Student Experiences of Learning
Sunghwan Mac Kim and Rafael A. Calvo

Identifying Students’ Inquiry Planning Using Machine Learning
Orlando Montalvo, Ryan Baker, Michael Sao Pedro, Adam Nakama and Janice Gobert

Identifying High-Level Student Behavior Using time-based Motif Discovery
David H. Shanabrook, David G. Cooper, Beverly Park Woolf and Ivon Arroyo

Using multiple Dirichlet distributions to improve parameter plausibility
Yue Gong, Joseph Beck and Neil Heffernan

On the Faithfulness of Simulated Student Performance Data
Michel Desmarais and Ildiko Pelczer

Mining Rare Association Rules from e-Learning Data
Cristobal Romero, Jose Raul Romero, Jose Maria Luna and Sebastián Ventura

A Data Model to Ease Analysis and Mining of Educational Data
Andre Krueger, Agathe Merceron and Benjamin Wolf

Navigating the parameter space of Bayesian Knowledge Tracing models: Visualizations of the convergence of the Expectation Maximization algorithm
Zachary Pardos and Neil Heffernan

Using Text Replay Tagging to Produce Detectors of Systematic Experimentation Behavior Patterns
Michael Sao Pedro, Ryan Baker, Orlando Montalvo, Adam Nakama and Janice Gobert

Examining Learner Control in a Structured Inquiry Cycle Using Process Mining
Larry Howard, Julie Johnson and Carin Neitzel

An Analysis of the Differences in the Frequency of Students’ Disengagement in Urban, Rural, and Suburban High Schools
Ryan Baker and Sujith M. Gowda

Unsupervised Discovery of Student Strategies
Benjamin Shih, Ken Koedinger and Richard Scheines

Mining Students’ Interaction Data from a System that Support Learning by Reflection
Rajibussalim

Using Educational Data Mining Methods to Study the Impact of Virtual Classroom in E-Learning
Mohammad Hassan Falakmasir and Jafar Habibi

Effort-based Tutoring: An Empirical Approach to Intelligent Tutoring
Ivon Arroyo, Hasmik Mehranian and Beverly Park Woolf

Online Curriculum Planning Behavior of Teachers
Keith Maull, Manuel Saldivar and Tamara Sumner

Process Mining to Support Students’ Collaborative Writing
Vilaythong Southavilay, Kalina Yacef and Rafael A. Calvo (also YRT)

An Annotations Approach to Peer Tutoring
John Champaign and Robin Cohen

Using Numeric Optimization To Refine Semantic User Model Integration Of Adaptive Educational Systems
Michael Yudelson, Peter Brusilovsky, Antonija Mitrovic and Moffat Mathews

Skill Set Profile Clustering: The Empty K-Means Algorithm with Automatic Specification of Starting Cluster Centers
Rebecca Nugent, Nema Dean and Elizabeth Ayers

Mining Bodily Patterns of Affective Experience during Learning
Sidney DMello and Art Graesser

Analysis of Productive Learning Behaviors in a Structured Inquiry Cycle Using Hidden Markov Models
Hogyeong Jeong, Gautam Biswas, Julie Johnson and Larry Howard

Data Mining for Generating Hints in a Python Tutor
Anna Katrina Dominguez, Kalina Yacef and James R. Curran

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

Off Topic Conversation in Expert Tutoring: Waste of Time or Learning Opportunity
Blair Lehman, Whitney Cade and Andrew Olney

Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System
Jon Fincham and John Anderson

Assessing Reviewer’s Performance Based on Mining Problem Localization in Peer-Review Data
Wenting Xiong, Diane Litman and Christian Schunn