Proceedings
Paper awards
Congratulations to the winners of the paper awards!
Best paper
Understanding Student Procrastination via Mixture Models
Jihyun Park, Renzhe Yu, Fernando Rodriguez, Rachel Baker, Padhraic Smyth and Mark Warschauer
Best student paper
Studying Affect Dynamics and Chronometry Using Sensor-Free Detectors
Anthony F. Botelho, Ryan Baker, Jaclyn Ocumpaugh and Neil Heffernan
Best paper nominees
Predicting Quitting in Students Playing a Learning Game
Shamya Karumbaiah, Ryan S Baker, and Valerie Shute
An Open Vocabulary Approach for Estimating Teacher Use of Authentic Questions in Classroom Discourse
Connor Cook, Andrew Olney, Sean Kelly and Sidney D’Mello
Impact of Corpus Size and Dimensionality of LSA Spaces from Wikipedia Articles on AutoTutor Answer Evaluation
Zhiqiang Cai, Art Graesser, Leah Windsor, Qinyu Cheng, David Shaffer and Xiangen Hu
Full papers
Studying Affect Dynamics and Chronometry Using Sensor-Free Detectors
Anthony F. Botelho, Ryan Baker, Jaclyn Ocumpaugh and Neil Heffernan
Understanding Student Procrastination via Mixture Models
Jihyun Park, Renzhe Yu, Fernando Rodriguez, Rachel Baker, Padhraic Smyth and Mark Warschauer
Modeling Math Identity and Math Success through Sentiment Analysis and Linguistic Features
Scott Crossley, Jaclyn Ocumpaugh, Matt Labrum, Franklin Bradfield, Mihai Dascalu and Ryan Baker
Student Performance Prediction by Discovering Inter-Activity Relations
Shaghayegh Sahebi and Peter Brusilovsky
Machine Beats Human at Sequencing Visuals for Perceptual-Fluency Practice
Ayon Sen, Purav Patel, Martina A. Rau, Blake Mason, Robert Nowak, Timothy T. Rogers and Xiaojin Zhu
Mining User Trajectories in Electronic Text Books
Ahcène Boubekki, Shailee Jain and Ulf Brefeld
Filtered Time Series Analyses of Student Problem-Solving Behaviors in Game-based Learning
Robert Sawyer, Jonathan Rowe, Roger Azevedo and James Lester
Who they are and what they want: Understanding the reasons for MOOC enrollment
R Wes Crues, Nigel Bosch, Carolyn Anderson, Michelle Perry, Suma Bhat and Najmuddin Shaik
Knowledge Tracing Using the Brain
David Halpern, Shannon Tubridy, Hong Yu Wang, Camille Gasser, Pamela Osborn Popp, Lila Davachi and Todd Gureckis
Principles for Assessing Adaptive Online Courses
Weiyu Chen, Carlee Joe-Wong, Christopher Brinton, Liang Zheng and Da Cao
How many friends can you make in a week?: evolving social relationships in MOOCs over time
Yiqiao Xu, Collin Lynch and Tiffany Barnes
A Comparison of Features for the Automatic Labeling of Student answers to Open-ended Questions
Jesus Gerardo Alvarado Mantecon, Hadi Abdi Ghavidel, Amal Zouaq, Jelena Jovanovic and Jenny McDonald
QuanTyler : Apportioning Credit for Student Forum Participation
Ankita Bihani and Andreas Paepcke
Job Description Mining to Understand Work-Integrated Learning
Shivangi Chopra and Lukasz Golab
Behavioral Analysis at Scale: Learning Course Prerequisite Structures from Learner Clickstreams
Weiyu Chen, Andrew Lan, Da Cao, Christopher Brinton and Mung Chiang
Gender Differences in Undergraduate Engineering Applicants: A Text Mining Approach
Shivangi Chopra, Hannah Gautreau, Abeer Khan, Melicaalsadat Mirsafian and Lukasz Golab
Impact of Corpus Size and Dimensionality of LSA Spaces from Wikipedia Articles on AutoTutor Answer Evaluation
Zhiqiang Cai, Art Graesser, Leah Windsor, Qinyu Cheng, David Shaffer and Xiangen Hu
An Open Vocabulary Approach for Estimating Teacher Use of Authentic Questions in Classroom Discourse
Connor Cook, Andrew Olney, Sean Kelly and Sidney D’Mello
Modeling Hint-Taking Behavior and Knowledge State of Students with Multi-Task Learning
Harvineet Singh, Shiv Kumar Saini, Ritwick Chaudhry and Pradeep Dogga
Intelligent Instructional Hand Offs
Stephen Fancsali, Michael Yudelson, Susan Berman and Steven Ritter
Improving Stealth Assessment in Game-based Learning with LSTM-based Analytics
Bita Akram, Wookhee Min, Eric Wiebe, Bradford Mott, Kristy Boyer and James Lester
Document Chunking and Learning Objective Generation for Instruction Design
Khoi-Nguyen Tran, Jey Han Lau, Danish Contractor, Utkarsh Gupta, Bikram Sengupta, Christopher Butler and Mukesh Mohania
Predicting Quitting in Students Playing a Learning Game
Shamya Karumbaiah, Ryan S Baker and Valerie Shute
Short papers
Analyzing the relative learning benefits of completing required activities and optional readings in online courses
Paulo Carvalho, Min Gao, Benjamin Motz and Ken Koedinger
Predicting Learning by Analyzing Eye-Gaze Data of Reading Behavior
Ramkumar Rajendran, Anurag Kumar, Kelly E. Carter, Daniel T. Levin and Gautam Biswas
Identifying Profiles of Collaborative Problem Solvers in an Online Electronics Environment
Jessica Andrews-Todd, Carol Forsyth, Jonathan Steinberg and André Rupp
Accurate Measurement of Lexical Sophistication in ESL with Reference to Learner Data
Ben Naismith, Na-Rae Han, Alan Juffs, Brianna Hill and Daniel Zheng
What can we learn from college students’ network transactions? Constructing useful features for student success prediction.
Ian Pytlarz, Shi Pu, Monal Patel and Rajini Prabhu
Standard error considerations on AFM parameters
Guillaume Durand, Cyril Goutte and Serge Léger
An Empirical Research on Identifiability and Q-matrix Design for DINA model
Peng Xu and Michel Desmarais
Who are they looking at? Automatic Eye Gaze Following for Classroom Observation Video Analysis
Arkar Min Aung, Anand Ramakrishnan and Jacob Whitehill
Using Student Logs to Build Bayesian Models of Student Knowledge and Skills
Huy Nguyen and Chun Wai Liew
Prediction of Academic Achievement Based on Digital Campus
Zheng Wang, Xinning Zhu, Junfei Huang, Xiang Li and Yang Ji
Understanding Learners’ Opinion about Participation Certificates in Online Courses using Topic Modeling
Gaurav Nanda, Nathan M. Hicks, David R. Waller, Kerrie Douglas and Dan Goldwasser
Finding Topics in Enrollment Data
Benjamin Motz, Thomas Busey, Martin Rickert and David Landy
Does Deep Knowledge Tracing Model Interactions Among Skills?
Shirly Montero, Akshit Arora, Sean Kelly, Brent Milne and Michael Mozer
A Hybrid Multi-Criteria approach using a Genetic Algorithm for Recommending Courses to University Students
Aurora Esteban, Amelia Zafra Gómez and Cristobal Romero
Your Actions or Your Associates? Predicting Certification and Dropout in MOOCs with Behavioral and Social Features
Niki Gitinabard, Farzaneh Khoshnevisan, Collin Lynch and Elle Yuan Wang
ELBA: Exceptional Learning Behavior Analysis
Xin Du, Wouter Duivesteijn and Mykola Pechenizkiy
Identifying User Engagement Patterns in an Online Video Discussion Platform
Seung Yeon Lee, Hui Soo Chae and Gary Natriello
Data-Driven Approach Towards a Personalized Curriculum
Michael Backenköhler, Felix Scherzinger, Adish Singla and Verena Wolf
Towards a Model-Free Estimate of the Limits to Student Modeling Accuracy
Binglin Chen, Matthew West and Craig Zilles
Modeling the Effects of Students’ Interactions with Immersive Simulations using Markov Switching Systems
Nicholas Hoernle, Ya’Akov Gal, Barbara Grosz, Pavlos Protopapas and Andee Rubin
Textbook annotations as an early predictor of student learning
Adam Winchell, Michael Mozer, Andrew Lan, Philip Grimaldi and Harold Pashler
Automated Speech Act Categorization of Chat Utterances in Virtual Internships
Dipesh Gautam, Nabin Maharjan, Art Graesser and Vasile Rus
Predicting Student Performance Based on Online Study Habits: A Study of Blended Courses
Adithya Sheshadri, Niki Gitinabard, Collin Lynch, Tiffany Barnes and Sarah Heckman
Exploring Collaboration Using Motion Sensors and Multi-Modal Learning Analytics
Joseph Reilly, Milan Ravenell and Bertrand Schneider
Is the Doer Effect Robust Across Multiple Data Sets?
Kenneth Koedinger, Richard Scheines and Peter Schaldenbrand
Predicting Student Enrollment based on Student and College Characteristics
Ahmad Slim, Don Hush, Tushar Ojha and Terry Babbitt
Predicting Individualized Learner Models Across Tutor Lessons
Michael Eagle, Albert Corbett, John Stamper and Bruce Mclaren
Re-designing the Structure of Online Courses to Empower Educational Data Mining
Zhongzhou Chen, Sunbok Lee and Geoffrey Garrido
Mining MOOC Lecture Transcripts to Construct Concept Dependency Graphs
Fareedah Alsaad, Assma Boughoula, Chase Geigle, Hari Sundaram and Chengxiang Zhai
Using a Common Sense Knowledge Base to Auto Generate Multi-Dimensional Vocabulary Assessments
Ruhi Sharma Mittal, Seema Nagar, Mourvi Sharma, Utkarsh Dwivedi, Prasenjit Dey and Ravi Kokku
Feature extraction for classifying students based on their academic performance
Agoritsa Polyzou and George Karypis
Tracking Behavioral Patterns among Students in an Online Educational System
Stephan Lorenzen, Niklas Hjuler and Stephen Alstrup
Clustering the Learning Patterns of Adults with Low Literacy Skills Interacting with an Intelligent Tutoring System
Ying Fang, Keith Shubeck, Anne Lippert, Qinyu Cheng, Genghu Shi, Shi Feng, Jessica Gatewood, Su Chen, Zhiqiang Cai, Philip Pavlik, Jan Frijters, Daphne Greenberg and Arthur Graesser
Mining Student Misconceptions from Pre- and Post-Testing Data
Ángel Pérez-Lemonche, Byron Drury and David Pritchard
Using Big Data to Sharpen Design-Based Inference in A/B Tests
Adam Sales, Anthony Botelho, Thanaporn Patikorn and Neil Heffernan
The influence of task activity and the learner’s personal characteristics on self-confidence during an online explanation activity with a conversational agent
Yugo Hayashi and Yugo Takeuchi
Estimating the Treatment Effect of New Device Deployment on Uruguayan Students’ Online Learning Activity
Cecilia Aguerrebere, Cristobal Cobo and Jacob Whitehill
Industry track papers
Forgetting curves and testing effect in an adaptive learning and assessment system
Jeffrey Matayoshi, Umberto Granziol, Christopher Doble, Hasan Uzun and Eric Cosyn
GritNet: Student Performance Prediction with Deep Learning
Byung-Hak Kim, Ethan Vizitei and Varun Ganapathi
Contextual Derivation of Stable BKT Parameters for Analysing Content Efficacy
Deepak Agarwal, Nishant Babel and Ryan Baker
LeCoRe: A Framework for Modeling Learner’s preference
Kumar Abhinav, Venkatesh Subramanian, Alpana Dubey, Padmaraj Bhat and Aditya Divakaruni Venkat
Constructing Cognitive Profiles for Simulation-Based Hiring Assessments
Rebecca Kantar, Keith Mcnulty, Erica Snow, Matthew Emery, Richard Wainess and Sonia Doshi
Predictive Student Modeling for Interventions in Online Classes
Michael Eagle, Ted Carmichael, Jessica Stokes, Mary Jean Blink, John Stamper and Jason Levin
