Accepted Papers and Papers

Full Papers

Student Translations of Natural Language into Logic: The Grade Grinder Translation Corpus Release 1.0
Dave Barker-Plummer, Richard Cox and Robert Dale.

Less is More: Improving the Speed and Prediction Power of Knowledge Tracing by Using Less Data
Bahador Nooraei B., Zachary Pardos, Neil Heffernan and Ryan Baker.

Conditions for effectively deriving a Q-Matrix from data with Non-negative Matrix Factorization
Michel Desmarais.

Analysing frequent sequential patterns of collaborative learning activity around an interactive tabletop
Roberto Martinez Maldonado, Kalina Yacef, Judy Kay, Ahmed Kharrufa and Ammar Al-Qaraghuli.

Acquiring Item Difficulty Estimates: a Collaborative Effort of Data and Judgment
Kelly Wauters, Piet Desmet and Wim Van Den Noortgate.

Items, skills, and transfer models: which really matters for student modeling?
Yue Gong and Joseph Beck.

A Machine Learning Approach for Automatic Student Model Discovery
Nan Li, William Cohen, Kenneth R. Koedinger and Noboru Matsuda.

Spectral Clustering in Educational Data Mining
Shubhendu Trivedi, Zachary Pardos, Gábor Sárközy and Neil Heffernan.

Does Time Matter? Modeling the Effect of Time with Bayesian Knowledge Tracing
Yumeng Qiu, Yingmei Qi, Hanyuan Lu, Zachary Pardos and Neil Heffernan.

Fair Blame Assignment in Student Modeling
Kenneth Koedinger, Philip I. Pavlik Jr., John Stamper, Tristan Nixon and Steven Ritter.

Factorization Models for Forecasting Student Performance
Nguyen Thai-Nghe, Tomáš Horváth and Lars Schmidt-Thieme.

Learning classifiers from a relational database of tutor logs
Jack Mostow, José González-Brenes and Bao Hong Tan.

Analyzing Participation of Students in Online Courses Using Social Network Analysis Techniques
Reihaneh Rabbany Khorasgani, Mansoureh Takaffoli and Osmar Zaïane.

A Framework for Capturing Distinguishing User Interaction Behaviors in Novel Interfaces
Samad Kardan and Cristina Conati.

How to Classify Tutorial Dialogue? Comparing Feature Vectors vs. Sequences
José González-Brenes, Jack Mostow and Weisi Duan.

Instructional Factors Analysis: A Cognitive Model For Multiple Instructional Interventions
Min Chi, Kenneth Koedinger, Geoff Gordon, Pamela Jordan and Kurt Vanlehn.

The Simple Location Heuristic is Better at Predicting Students’ Changes in Error Rate Over Time Compared to the Simple Temporal Heuristic
Adaeze Nwaigwe and Kenneth Koedinger.

Automatically Detecting a Student’s Preparation for Future Learning: Help Use is Key
Ryan S.J.D. Baker, Sujith Gowda and Albert Corbett.

Ensembling Predictions of Student Post-Test Scores for an Intelligent Tutoring System
Zachary Pardos, Sujith Gowda, Ryan S.J.D. Baker and Neil Heffernan.

Improving Models of Slipping, Guessing, and Moment-By-Moment Learning with Estimates of Skill Difficulty
Sujith M. Gowda, Jonathan P. Rowe, Ryan S.J.D. Baker, Min Chi and Kenneth R. Koedinger.

Short Papers

Using Logistic Regression to Trace Multiple Subskills in a Dynamic Bayes Net
Yanbo Xu and Jack Mostow.

A Method for Finding Prerequisites Within a Curriculum
Annalies Vuong, Tristan Nixon and Brendon Towle.

Estimating Prerequisite Structure From Noisy Data
Emma Brunskill.

Monitoring Learners’ Proficiency: Weight Adaptation in the Elo Rating System
Kelly Wauters, Piet Desmet and Wim Van Den Noortgate.

Modeling students’ activity in online discussion forums: a strategy based on time series and agglomerative hierarchical clustering
Germán Cobo, David García-Solórzano, Eugènia Santamaría, Jose Antonio Morán, Javier Melenchón and Carlos Monzo.

Prediction of Perceived Disorientation in Online Learning Environment with Random Forest Regression
Gökhan Akçapınar, Erdal Coşgun and Arif Altun.

What can closed sets of students and their marks say?
Dmitry Ignatov, Serafima Mamedova and Nikita Romashkin.

Analysing Student Spatial Deployment in a Computer Laboratory
Vladimir Ivančević, Milan Čeliković and Ivan Luković.

Predicting School Failure Using Data Mining
Carlos Marquez-Vera, Cristobal Romero and Sebastián Ventura.

A Dynamical System Model of Microgenetic Changes in Performance, Efficacy, Strategy Use and Value during Vocabulary Learning
Philip I. Pavlik Jr. and Sue-Mei Wu.

How university entrants are choosing their department? Mining of university admission process with FCA taxonomies.
Nikita Romashkin, Dmitry Ignatov and Elena Kolotova.

Desperately Seeking Subscripts: Towards Automated Model Parameterization
Jack Mostow, Yanbo Xu and Mdahaduzzaman Munna.

Automatic Generation of Proof Problems in Deductive Logic
Behrooz Mostafavi, Tiffany Barnes and Marvin Croy.

Establishing the value of dynamic assessment in an online tutoring system
Mingyu Feng, Neil Heffernan, Zachary Pardos and Cristina Heffernan.

Evaluating a Bayesian Student Model of Decimal Misconceptions
George Goguadze, Sergey Sosnovsky, Seiji Isotani and Bruce Mclaren.

Exploring user data from a game-like math tutor: a case study in causal modeling
Dovan Rai and Joseph Beck.

What’s an Expert? Using learning analytics to identify emergent markers of expertise through automated speech, sentiment and sketch analysis
Marcelo Worsley and Paulo Blikstein.

Posters

Goal Orientation and Changes of Carelessness over Consecutive Trials in Science Inquiry
Arnon Hershkovitz, Ryan S.J.D. Baker, Janice Gobert and Michael Wixon.

Towards improvements on domain-independent measurements for collaborative assessment
Antonio R. Anaya and Jesús G. Boticario.

A Java desktop tool for mining Moodle data
Rafael Pedraza Perez, Cristobal Romero and Sebastián Ventura.

Using data mining in a recommender system to search for learning objects in repositories
Alfredo Zapata Gonzalez, Victor Hugo Menéndez Domínguez, Manuel Prieto and Cristobal Romero.

E-learning Web Miner: A data mining application to help instructors involved in virtual courses
Marta Zorrilla and Diego García-Saiz.

Computerized Coding System for Life Narratives to Assess Students’ Personality Adaption
Qiwei He, Bernard Veldkamp and Gerben Westerhof.

Partially Observable Sequential Decision Making for Problem Selection in an Intelligent Tutoring System
Emma Brunskill and Stuart Russell.

Mining Teaching Behaviors from Pedagogical Surveys
Joana Barracosa and Claudia Antunes.

Variable Construction and Causal Modeling of Online Education Messaging Data: Initial Results
Stephen Fancsali.

The Hospital Classrooms Environments Challenge
Carina González and Pedro A. Toledo.

Combining study of complex network and text mining analysis to understand growth mechanism of communities on SNS
Osamu Yamakawa.

Logistic Regression in a Dynamic Bayes Net Models Multiple Subskills Better!
Yanbo Xu and Jack Mostow.

Studying the problem-solving strategies in the early stages of learning programming
Edgar Cambranes-Martinez and Judith Good.

Brick: Mining Pedagogically Interesting Sequential Patterns
Anjo Anjewierden, Hannie Gijlers, Nadira Saab and Robert De Hoog.

Intelligent evaluation of social knowledge building using conceptual maps with MLN
Lorenzo Moreno and Carina Gonzalez.

Identifying Influence Factors on Students Success by Subgroup Discovery
Florian Lemmerich, Marianus Ifland and Frank Puppe.

Analyzing University Data for Determining Student Profiles and Predicting Performance
Dorina Kabakchieva, Kamelia Stefanova and Valentin Kisimov.

The EDM Vis Tool
Matthew Johnson, Michael Eagle, Leena Joseph and Tiffany Barnes.

Towards Modeling Forgetting and Relearning in ITS: Preliminary Analysis of ARRS Data
Yutao Wang and Neil Heffernan.

Statistical Quality Control and Data Minining Tools in Monitoring Test Scores
Alina Von Davier.

eLAT: An Exploratory Learning Analytics Tool for Reflection and Iterative Improvement of Technology Enhanced Learning
Anna Lea Dyckhoff, Dennis Zielke, Mohamed Amine Chatti and Ulrik Schroeder.

Predicting graduate-level performance from undergraduate achievements
Judith Zimmermann, Kay H. Brodersen, Jean-Philippe Pellet, Elias August and Joachim M. Buhmann.

Mining Assessment and Teaching Evaluation Data of Regular and Advanced Stream Students
Irena Koprinska.

Investigating Usage of Resources in LMS with Specific Association Rules
Agathe Merceron.

Towards parameter-free data mining: Mining educational data with yacaree
Jose Balcazar, Diego García-Saiz and Marta Zorrilla.

Factors Impacting Novice Code Comprehension in a Tutor for Introductory Computer Science
Leigh Ann Sudol and Jonathan Steinhart.

Investigating the Transitions between Learning and Non-learning Activities as Students Learn Online
Paul Salvador Inventado, Roberto Legaspi, Merlin Suarez and Masayuki Numao.

Learning parameters for a knowledge diagnostic tools in orthopedic surgery
Sebastien Lalle and Vanda Luengo.

Problem Response Theory and its Application for Tutoring
Petr Jarušek and Radek Pelánek.

Learning Transfer Analysis Using Contextual Performance Additive Factors Model
Michael Yudelson, Philip I. Pavlik and Kennth R. Koedinger.