EDM Main Conference Preliminary Schedule
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Workshops & Tutorials: Wednesday, June 29
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TimeWS1: The Capital RoomWS2: Oak Forest BWS3: Governor's Room IT1 SAS: Governor's Room IIT2 Scale: Willow Oak Room
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8:00 AMRegistration, light breakfast @ Hannover Ballroom
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9:00 AMWS-1: Computer-Supported Peer Review in Education (CSPRED-2016)WS-2: Writing Analytics, Data Mining, and Writing StudiesWS-3: Educational Data Analysis using LearnSphereTutorial 1: SAS Tools for Educational Data MiningTutorial 2: Massively Scalable EDM with Spark
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10:30 AMCoffee Break @ Hannover Ballroom
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11:00 AMWS1WS2WS3T1 by Jennifer Sabourin, Scott McQuiggan & Andre De Waal, SAS InstituteT2 by Tristan Nixon, Institute for Intelligent Systems, University of Memphis
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12:30 PMLunch @ Hannover Ballroom
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2:00 PMWS1WS2WS3T1T2
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3:30 PMBreak @ Hannover Ballroom
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4:00 PMWS1WS2WS3T1T2
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5:30 PMBreak (Poster setup in Hannover 5-6 pm)
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6:00 PMDinner, Dancing, & Poster Session I @ Sheraton Hannover Ballroom 6:00-9 pm; Posters 6:30 pm; Dance Lesson 8-9 pm
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Conf Day 1: Thurs, Jun 30
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TimeRoom A: Oak Forest ARoom B: Oak Forest BRoom G: Governor's Room I&II
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8:00 AMRegistration, light breakfast @ Hannover Ballroom
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9:00 AMKeynote: Rakesh Agrawal Data-Driven Education: Some opportunities and Challenges Host: Tiffany Barnes
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10:00 AMCoffee Break @ Hannover Ballroom
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Session 11A: Modeling learning processes and sequential patterns (Anna Rafferty)1B: Multi-modal & affect (John Stamper)1G: MOOCs (Min Chi)
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10:30 AM 87**-How to Model Implicit Knowledge? Similarity Learning Methods to Assess Perceptions of Visual Representations Martina Rau, Blake Mason and Robert Nowak (FULL: 25/5 min) (Exemplary & Best Paper Nominee) 126- {ENTER}ing the Time Series {SPACE}: Uncovering the Writing Process through Keystroke Analyses Laura Allen, Matthew Jacovina, Mihai Dascalu, Rod Roscoe, Kevin Kent, Aaron Likens and Danielle McNamara (FULL: 25/5 min) 164-Sequence Matters, But How Exactly? A Methodology for Evaluating Activity Sequences from Data Shayan Doroudi, Kenneth Holstein, Vincent Aleven and Emma Brunskill (FULL: 25/5 min) 76*-Riding an emotional roller-coaster: A multimodal study of young child's math problem solving activities Lujie Chen, Xin Li, Zhuyun Xia, Zhanmei Song, Louis-Philippe Morency and Artur Dubrawski (FULL: 25/5 Min) (Exemplary Paper) 77*-The Affective Impact of Tutor Questions: Predicting Frustration and Engagement Alexandria Vail, Joseph Wiggins, Joseph Grafsgaard, Kristy Boyer, Eric Wiebe and James Lester (FULL: 25/5 Min) (Exemplary Paper) 139-Beyond Log Files: Using Multi-Modal Data Streams Towards Data-Driven KC Model Improvement Ran Liu, Jodi Davenport and John Stamper (SHORT: 15/5 Min) J303-Exploring the Effect of Student Confusion in Massive Open Online Courses Diyi Yang, Robert Kraut, Carolyn P. Rose (JEDM: 25/5 Min) 63-Gauging MOOC Learners' Adherence to the Designed Learning Path Daniel Davis, Guanliang Chen, Claudia Hauff and Geert-Jan Houben (FULL: 25/5 Min) 112-Semi-Markov model for simulating MOOC students Louis Faucon, Łukasz Kidziński and Pierre Dillenbourg (SHORT: 15/5 Min)
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12:00 PM"State of the Industry" Panel & Lunch @ Hannover Ballroom
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Session 22A: Deep learning (Neil Heffernan)2B: Peer grading & assessment (Danielle McNamara)2G: CS education (Sharon Hsiao)
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1:00 PM 64*-LIVELINET: A Multimodal Deep Recurrent Neural Network to Predict Liveliness in Educational Videos Arjun Sharma, Arijit Biswas, Ankit Gandhi, Sonal Patil and Om Deshmukh (FULL: 25/5 Min) (Exemplary Paper) 144**-How Deep is Knowledge Tracing? Mohammad Khajah, Robert Lindsey and Michael Mozer (FULL: 25/5 Min) (Exemplary & Best Paper Nominee) 133-Going Deeper with Deep Knowledge Tracing Xiaolu Xiong, Siyuan Zhao, Eric Vaninwegen and Joseph Beck (SHORT: 15/5 Min) 158**-Calibrated Self-Assessment Igor Labutov and Christoph Studer. (FULL: 25/5 Min) (Exemplary & Best Paper Nominee) 23-Dynamics of Peer Grading: An Empirical Study Luca de Alfaro and Michael Shavlovsky. (FULL: 25/5 Min) 43-Automatic Assessment of Constructed Response Data in a Chemistry Tutor Scott Crossley, Kris Kyle, Jodi Davenport and Danielle McNamara (SHORT: 15/5 Min) 17*-Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming Benjamin Paaßen, Joris Jensen and Barbara Hammer (FULL: 25/5 Min) (Exemplary Paper) 33*-Generating Data-driven Hints for Open-ended Programming Thomas Price, Yihuan Dong and Tiffany Barnes (FULL: 25/5 Min) (Exemplary Paper) 151-Seeking Programming-related Information from Large Scaled Discussion Forums, Help or Harm? Yihan Lu and Sharon Hsiao (SHORT: 15/5 Min)
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2:20 PMTransition between sessions
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Session 33A: Modeling skills; generation of skill models (Kristy Boyer)3B: NLP for EDM (Agathe Merceron)3G: Educational audio, videos and games: (Martina Rau)
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2:30 PM 134- Boosted Decision Tree for Q-matrix Refinement Peng Xu and Michel Desmarais (SHORT: 15/5 Min) 149-Data-driven Automated Induction of Prerequisite Structure Graphs Devendra Singh Chaplot, Yiming Yang, Jaime Carbonell and Kenneth R. Koedinger (SHORT: 15/5 Min) 150-Tensor Factorization for Student Modeling and Performance Prediction in Unstructured Domain Shaghayegh Sahebi, Yu-Ru Lin and Peter Brusilovsky (SHORT: 15/5 Min) 61-Deep Learning + Student Modeling + Clustering: a Recipe for Effective Automatic Answer Grading Yuan Zhang, Rajat Shah and Min Chi (SHORT: 15/5 Min) 67-Document Segmentation for Labeling with Academic Learning Objectives Divyanshu Bhartiya, Danish Contractor, Sovan Biswas, Bikram Sengupta and Mukesh Mohania (SHORT: 15/5 Min) 109-Topic-wise Classification of MOOC Discussions: A Visual Analytics Approach Thushari Atapattu, Katrina Falkner and Hamid Tarmazdi (SHORT: 15/5 Min) 104-Modeling Visitor Behavior in a Game-Based Engineering Museum Exhibit with Hidden Markov Models Mike Tissenbaum, Matthew Berland and Vishesh Kumar (SHORT: 15/5 Min) 51-Classifying behavior to elucidate elegant problem solving in an educational game Laura Malkiewich, Ryan S. Baker, Valerie Shute, Shimin Kai and Luc Paquette (SHORT: 15/5 Min) 54-Automatic Detection of Teacher Questions from Audio in Live Classrooms Nathaniel Blanchard, Patrick Donnelly, Andrew Olney, Borhan Samei, Sean Kelly, Xiaoyi Sun, Brooke Ward, Martin Nystrand and Sidney D'Mello (SHORT: 15/5 Min)
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3:30 PMCoffee Break @ Hannover Ballroom
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Session 44A: Industry (Piotr Mitros)4B: DC I (Sidney D'Mello) 4G: DC II (Mingyu Feng)
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4:00 PM15-A Scalable Learning Analytics Platform for Automated Writing Feedback. Jacqueline Feild, Nicolas Lewkow, Neil Zimmerman, Mark Riedesel and Alfred Essa. (INDUSTRY: 15/5 Min) 41-Analysing and Refining Pilot Training. Bruno Emond, Scott Buffett, Cyril Goutte and Jaff Guo. (INDUSTRY: 15/5 Min) 79-An Automated Test of Motor Skills for Job Selection and Feedback Bhanu Pratap Singh Rawat and Varun Aggarwal (INDUSTRY: 15/5 Min) 179-Towards the Understanding of Gestures and Vocalization Coordination in Teaching Context Roghayeh Barmaki (DC: 10/10 Min) 201-Designing Interactive and Personalized Concept Mapping Learning Environments Shang Wang (DC: 10/10 Min) 199-Using Case-Based Reasoning to Automatically Generate High-Quality Feedback for Programming Exercises Angelo Kyrilov (DC: 10/10 Min) 196-Towards Modeling Chunks in a Knowledge Tracing Framework for Students’ Deep Learning Yun Huang and Peter Brusilovsky (DC: 10/10 Min) 192-Predicting Off-task Behaviors for Adaptive Vocabulary Learning System (DC) Sungjin Nam (DC: 10/10 Min) 197-Estimation of prerequisite skills model from large scale assessment data using semantic data mining Bruno Penteado (DC: 10/10 Min)
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5:10 PMDinner on your own - "Pickin' in the Plaza" Concert just in front of hotel https://www.facebook.com/events/879920838784884/, https://www.pinecone.org/series/pinecone-presents-pickin-plaza
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Conf Day 2: Fri, July 1
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StartRoom A: Oak Forest ARoom B: Oak Forest BRoom G: Governor's Room I&II
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8:00 AMRegistration, light breakfast @ Hannover Ballroom
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9:00 AMKeynote: Marcia Linn WISE Ways to Strengthen Inquiry Science Learning @ Hannover Ballroom Host: Mingyu Feng
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10:00 AMCoffee Break @ Hannover Ballroom
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Session 55A: Factors Affecting Progress and Behavior (Michael Yudelson)5B: Clustering
(April Galyardt)
5G: MOOCs (Noboru Matsuda)
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10:30 AM 172-Mining behaviors of students in autograding submission system logs Jessica McBroom, Bryn Jeffries, Irena Koprinska and Kalina Yacef (FULL: 25/5 Min) 154-Tracing Students’ Online Learning Strategies: Do Students Always Use The Same Tactics? Kelvin H. R. Ng, Kevin Hartman, Kai Liu and Andy W H Khong. (FULL: 25/5 Min) 90-Investigating Gender Difference on Homework in Middle School Mathematics Mingyu Feng, Jeremy Roschelle, Craig Mason and Ruchi Bhanot (SHORT: 15/5 Min) 11* -Temporally Coherent Clustering of Student Data Severin Klingler, Tanja Käser, Barbara Solenthaler and Markus Gross. (FULL: 25/5 Min) (Exemplary Paper) 42- A Coupled User Clustering Algorithm for Web-based Learning Systems Ke Niu, Zhendong Niu, Xiangyu Zhao, Can Wang, Kai Kang and Min Ye. (FULL: 25/5 Min) 32-Association rules uncover social triggers of conceptual learning with physical and virtual representations Martina Rau. (SHORT: 15/5 Min) 13-Properties and Applications of Wrong Answers in Online Educational Systems Radek Pelánek and Jiří Řihák. (SHORT: 15/5 Min) 56-A Nonlinear State Space Model for Identifying At-Risk Students in Open Online Courses Feng Wang and Li Chen. (SHORT: 15/5 Min) 85-On generalizability of MOOC research Łukasz Kidziński, Kshitij Sharma, Mina Shirvani Boroujeni and Pierre Dillenbourg. (SHORT: 15/5 Min) 142-Student Emotion, Co-occurrence, and Dropout in a MOOC Context John Dillon, Nigel Bosch, Malolan Chetlur, Nirandika Wanigasekara, G. Alex Ambrose, Bikram Sengupta and Sidney D'Mello. (SHORT: 15/5 Min)
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12:00 PMSponsor Lunch @ Hannover Ballroom
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Session 66A: Student Modeling and Support (Mike Mozer)6B: EDM system & framework (Ken Koedinger)6G: Multi-modal & affect (Sidney D'Mello)
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1:00 PM 46*-Effect of student ability and question difficulty on duration Yijun Ma, Lalitha Agnihotri, Ryan Baker and Shirin Mojarad. (FULL: 25/5 Min) (Exemplary Paper) 89-Joint Discovery of Skill Prerequisite Graphs and Student Models Yetian Chen, José González-Brenes and Jin Tian. (FULL: 25/5 Min) 52- Individualizing Bayesian Knowledge Tracing Models. Are Skills More Important Than Students? Michael Yudelson. (SHORT: 15/5 Min) 118*-The Apprentice Learner Architecture: Closing the loop between learning theory and educational data Christopher Maclellan, Erik Harpstead, Rony Patel and Kenneth Koedinger (FULL: 25/5 Min) (Exemplary Paper) 159*-Web as a textbook: Curating Targeted Learning Paths through the Heterogeneous Learning Resources on the Web Igor Labutov and Hod Lipson (FULL: 25/5 Min) (Exemplary Paper) 18-A Contextual Bandits Framework for Personalized Learning Action Selection Andrew Lan and Richard Baraniuk (SHORT: 15/5 Min) 78*-The Eyes Have It: Gaze-based Detection of Mind Wandering during Learning with an Intelligent Tutoring System Stephen Hutt, Caitlin Mills, Shelby White, Patrick J. Donnelly and Sidney K. D'Mello. (FULL: 25/5 Min) (Exemplary Paper) 143-Automatic Gaze-Based Detection of Mind Wandering during Film Viewing Caitlin Mills, Robert Bixler, Xinyi Wang and Sidney D'Mello. (FULL: 25/5 Min) 110-Predicting Dialogue Acts for Intelligent Virtual Agents with Multimodal Student Interaction Data Wookhee Min, Joseph Wiggins, Lydia Pezzullo, Alexandria Vail, Kristy Elizabeth Boyer, Bradford Mott, Megan Frankosky, Eric Wiebe and James Lester. (SHORT: 15/5 Min)
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2:30 PMTransition between sessions
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Session 77A: Graph mining (Collin Lynch)7B: Item response theory (Phil Pavlik)7G: Collaborative learning (Bruce McLaren)
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2:40 PM12-On Competition for Undergraduate Co-op Placements: A Graph Mining Approach Yuheng Jiang and Lukasz Golab. (SHORT: 15/5 Min) 137-Unnatural Feature Engineering: Evolving Augmented Graph Grammars for Argument Diagrams Linting Xue, Collin Lynch and Min Chi. (FULL: 25/5 Min) 31-Investigating Difficult Topics in a Data Structures Course Using Item Response Theory and Logged Data Analysis , Eric Fouh, Mohammed F. Farghally, Sally Hamouda, Kyu Han Koh and Clifford A. Shaffer. (SHORT: 15/5 Min) 145-Back to the basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation Kevin Wilson, Yan Karklin, Bojian Han and Chaitanya Ekanadham. (SHORT: 15/5 Min) 20-Collaborative Problem Solving Skills versus Collaboration Outcomes: Findings from Statistical Analysis and Data Mining Jiangang Hao, Lei Liu, Alina von Davier, Patrick Kyllonen and Christopher Kitchen. (SHORT: 15/5 Min). 48-Transactivity as a Predictor of Future Collaborative Knowledge Integration in Team-Based Learning in Online Courses Miaomiao Wen, Keith Maki, Xu Wang and Carolyn Rose. (SHORT: 15/5 Min).
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3:30 PMCoffee Break @ Hannover Ballroom
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Session 88A: Interventions, policies, optimizing learning, & causal modeling (Ken Koedinger)8B: Educational games (Jon Rowe)8G: Recommender systems (Kalina Yacef)
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4:00 PM75-Student Usage Predicts Treatment Effect Heterogeneity in the Cognitive Tutor Algebra I Program Adam Sales, Asa Wilks and John Pane. (FULL: 25/5 Min). 21-Using Inverse Planning for Personalized Feedback Anna Rafferty, Rachel Jansen and Thomas Griffiths. (SHORT: 15/5 Min). 135-Aim Low: Correlation-based Feature Selection for Model-based Reinforcement Learning. Shitian Shen and Min Chi. (SHORT: 15/5 Min) 100**-Measuring Gameplay Affordances of User-Generated Content in an Educational Game Andrew Hicks, Zhongxiu Liu and Tiffany Barnes. (FULL: 25/5 Min) (Exemplary & Best Paper Nominee) 131-Choosing versus Receiving Feedback: The Impact of Feedback Valence on Learning in an Assessment Game Maria Cutumisu and Daniel L. Schwartz. (SHORT: 15/5 Min) 53-Validating Game-based Measures of Implicit Science Learning, Elizabeth Rowe, Jodi Asbell-Clarke, Michael Eagle, Andrew Hicks, Tiffany Barnes, Rebecca Brown and Teon Edwards. (SHORT: 15/5 Min) J302-Next-Term Student Performance Prediction: A Recommender Systems Approach Mack Sweeney, Jaime Lester, Huzefa Rangwala, Aditya Johri (JEDM: 25/5 Min) 83-Course Enrollment Recommender System Hana Bydžovská. (SHORT: 15/5 Min) 169-Course Content Analysis: An Initiative Step toward Learning Object Recommendation Systems for MOOC Learners Yiling Dai, Yasuhito Asano and Masatoshi Yoshikawa. (SHORT: 15/5 Min)
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5:20 PMBreak
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6:30 PMReception & Poster Session II @ NC Museum of Natural Science, 6:30-9:30 pm (Posters 6:30-7:30)
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6-9 pmCheck out Raleigh's First Friday Gallery Walk http://www.godowntownraleigh.com/first-friday-raleigh
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Conf Day 3: Sat, July 2
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StartRoom A: Oak Forest ARoom B: Oak Forest BRoom G: Governor's Room I&II
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8:00 AMRegistration, light breakfast @ Hannover Ballroom
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9:00 AMKeynote: Judy Kay Enabling people to harness and control EDM for lifelong, life-wide learning @ Hannover Ballroom Host: Min Chi
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10:00 AMCoffee Break @ Hannover Ballroom
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Session 99A: Explorative and predictive modeling (Neil Heffernan)9B: Evaluation of EDM (Phil Pavlik)9G: MOOCs (Noboru Matsuda)
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10:30 AM140*-Semantic Features of Math Problems: Relationships to Student Learning and Engagement. Stefan Slater, Jaclyn Ocumpaugh, Ryan Baker, Peter Scupelli, Paul Salvador Inventado and Neil Heffernan. (FULL: 25/5 Min) (Exemplary Paper) 62-An Ensemble Method to Predict Student Performance in an Online Math Learning Environment. Martin Stapel, Zhilin Zheng and Niels Pinkwart. (FULL: 25/5 Min) 125-Exploring the Impact of Data-driven Tutoring Methods on Students' Demonstrative Knowledge in Logic Problem Solving Behrooz Mostafavi and Tiffany Barnes. (SHORT: 15/5 Min)J301-Toward Data-Driven Design of Educational Courses: A Feasibility Study Rakesh Agrawal, Behzad Golshan, Evangelos Papalexakis (JEDM: 25/5 Min) 92*-Modeling the Influence of Format and Depth during Effortful Retrieval Practice Jaclyn K. Maass and Philip I. Pavlik Jr. (FULL: 25/5 Min) (Exemplary Paper) 101-Exploring Learning Management System Interaction Data: Combining Data-driven and Theory-driven Approaches. Hongkyu Choi, Ji Eun Lee, Won-Joon Hong, Kyumin Lee, Mimi Recker and Andy Walker. (SHORT: 15/5 Min)121-MOOC Learner Behaviors by Country and Culture; an Exploratory Analysis Zhongxiu Liu, Rebecca Brown, Collin Lynch, Tiffany Barnes, Ryan Baker, Yoav Bergner and Danielle Mcnamara (FULL: 25/5 Min) 123-Predicting Post-Test Performance from Student Behavior: A High School MOOC Case Study Sabina Tomkins, Arti Ramesh and Lise Getoor (FULL: 25/5 Min) 136-Acting the Same Differently: A Cross-Course Comparison of User Behavior in MOOCs Ben Gelman, Matt Revelle, Carlotta Domeniconi, Kalyan Veeramachaneni and Aditya Johri (SHORT: 15/5 Min)
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12:00 PMLunch & EDM Community Meeting @ Hannover Ballroom
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Session 1010A: Predicting student performance (Mingyu Feng)10B: Detecting behaviors/ Modeling behaviors (Luc Paquette)10G: Recomender systems (Kalina Yacef)
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1:00 PM69-Investigating Swarm Intelligence for Performance Prediction. Mohammad Majid Al-Rifaie, Matthew Yee-King and Mark d'Inverno. (SHORT: 15/5 Min) 22-Predicting Performance on MOOC Assessments using Multi-Regression Models. Zhiyun Ren, Huzefa Rangwala and Aditya Johri. (SHORT: 15/5 Min) 167-Modeling Interactions Across Skills: A Method to Construct and Compare Models Predicting the Existence of Skill Relationships Anthony F. Botelho, Seth Adjei and Neil Heffernan. (SHORT: 15/5 Min) (MOVED from Session 11A)70-Expediting Support for Social Learning with Behavior Modeling Yohan Jo, Gaurav Singh Tomar, Oliver Ferschke, Carolyn Rose and Dragan Gasevic. (SHORT: 15/5 Min). 166-Are Hints Linked to Procrastination? Paul Salvador Inventado, Peter Scupelli, Eric Van Inwegen, Korinn Ostrow, Neil Heffernan Iii, Ryan Baker, Stefan Slater, Mia Almeda and Jaclyn Ocumpaugh (SHORT: 15/5 Min) 113-Assessing Student-Generated Design Justifications in Virtual Engineering Internships Vasile Rus, Dipesh Gautam, Zach Swiecki, David Shaffer and Art Graesser (SHORT: 15/5 Min) (MOVED from Session 11A)27-A Comparison of Automatic Teaching Strategies for Heterogeneous Student Populations Benjamin Clement, Pierre-Yves Oudeyer and Manuel Lopes (SHORT: 15/5 Min) 171-Does a Peer Recommender Foster Students' Engagement in MOOCs? Hugues Labarthe, Francois Bouchet, Remi Bachelet and Kalina Yacef (SHORT: 15/5 Min) 175-Personalization of Learning Trajectories in Online Communities of Creators Mingxuan Sun and Seungwon Yang (SHORT: 15/5 Min)
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2:00 PMCoffee Break STARTS @ Hannover Ballroom
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Session 1111A: Modeling skills; generation of skill models (Ryan Baker)11B: Assessment/Peer grading (Collin Lynch)
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2:10 PM84-Learning Curves for Problems with Multiple Knowledge Components. Brett van de Sande. (SHORT: 15/5 Min) 152-Closing the Loop with Quantitative Cognitive Task Analysis. Kenneth Koedinger and Elizabeth Mclaughlin. (SHORT: 15/5 Min) 26-Predicting Student Progress from Peer-Assessment Data Michael Mogessie Ashenafi, Marco Ronchetti and Giuseppe Riccardi (SHORT: 15/5 Min) 173 -How Good Is Popularity? Summary Grading in Crowdsourcing Haiying Li, Zhiqiang Cai and Art Graesser. (SHORT: 15/5 Min)
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2:50 PMConference ends
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3 concurent sessions