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Organized by the International Educational Data Mining Society (IEDMS).

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Proceedings

This page holds the proceedings for the 9th International Conference on Educational Data Mining. The conference will be held on June 29 - July 2, 2016, in Raleigh, North Carolina, USA.

Main Proceedings

Citation Information:

Tiffany Barnes, Min Chi and Mingyu Feng (eds.) Proceedings of the 9th International Conference on Educational Data Mining.

Workshop Proceedings

Citation Information:

Jonathan Rowe and Erica Snow (eds.) Proceedings of the EDM 2016 Workshops and Tutorials co-located with the 9th International Conference on Educational Data Mining.

Paper awards

Congratulations to the winners of the paper awards!

Best paper

How Deep is Knowledge Tracing?
Mohammad Khajah, Robert Lindsey and Michael Mozer

Best student paper

Calibrated Self-Assessment
Igor Labutov and Christoph Studer

Best paper nominees

LIVELINET: A Multimodal Deep Recurrent Neural Network to Predict Liveliness in Educational Videos
Arjun Sharma, Arijit Biswas, Ankit Gandhi, Sonal Patil and Om Deshmukh

How to Model Implicit Knowledge? Similarity Learning Methods to Assess Perceptions of Visual Representations
Martina Rau, Blake Mason and Robert Nowak

Measuring Gameplay Affordances of User-Generated Content in an Educational Game
Andrew Hicks, Zhongxiu Liu and Tiffany Barnes

Individual papers

Invited Talks

Data-Driven Education: Some opportunities and Challenges2016/06/299th International Conference on Educational Data Mining22http://www.educationaldatamining.org/EDM2016/proceedings/paper_401.pdf
Rakesh Agrawal

WISE Ways to Strengthen Inquiry Science Learning2016/06/299th International Conference on Educational Data Mining33http://www.educationaldatamining.org/EDM2016/proceedings/paper_402.pdf
Marcia Linn (presentation)

Enabling people to harness and control EDM for lifelong, life-wide learning2016/06/299th International Conference on Educational Data Mining44http://www.educationaldatamining.org/EDM2016/proceedings/paper_403.pdf
Judy Kay

JEDM Track Journal Papers

Toward Data-Driven Design of Educational Courses: A Feasibility Study2016/06/299th International Conference on Educational Data Mining66http://www.educationaldatamining.org/EDM2016/proceedings/paper_301.pdf
Rakesh Agrawal, Behzad Golshan and Evangelos Papalexakis

Next-Term Student Performance Prediction: A Recommender Systems Approach2016/06/299th International Conference on Educational Data Mining77http://www.educationaldatamining.org/EDM2016/proceedings/paper_302.pdf
Mack Sweeney, Jaime Lester, Huzefa Rangwala and Aditya Johri

Exploring the Effect of Student Confusion in Massive Open Online Courses2016/06/299th International Conference on Educational Data Mining88http://www.educationaldatamining.org/EDM2016/proceedings/paper_303.pdf
Diyi Yang, Robert Kraut, and Carolyn Rosé

Invited Paper

Enabling people to harness and control EDM for lifelong, life-wide learning2016/06/299th International Conference on Educational Data Mining1020http://www.educationaldatamining.org/EDM2016/proceedings/paper_500.pdf
Judy Kay

Full Papers

{ENTER}ing the Time Series {SPACE}: Uncovering the Writing Process through Keystroke Analyses2016/06/299th International Conference on Educational Data Mining2229http://www.educationaldatamining.org/EDM2016/proceedings/paper_126.pdf
Laura Allen, Matthew Jacovina, Mihai Dascalu, Rod Roscoe, Kevin Kent, Aaron Likens and Danielle McNamara (presentation)

Automatic Gaze-Based Detection of Mind Wandering during Film Viewing2016/06/299th International Conference on Educational Data Mining3037http://www.educationaldatamining.org/EDM2016/proceedings/paper_143.pdf
Caitlin Mills, Robert Bixler, Xinyi Wang and Sidney D'Mello

Riding an emotional roller-coaster: A multimodal study of young child's math problem solving activities2016/06/299th International Conference on Educational Data Mining3845http://www.educationaldatamining.org/EDM2016/proceedings/paper_76.pdf
Lujie Chen, Xin Li, Zhuyun Xia, Zhanmei Song, Louis-Philippe Morency and Artur Dubrawski (presentation)

Joint Discovery of Skill Prerequisite Graphs and Student Models2016/06/299th International Conference on Educational Data Mining4653http://www.educationaldatamining.org/EDM2016/proceedings/paper_89.pdf
Yetian Chen, José González-Brenes and Jin Tian

Gauging MOOC Learners' Adherence to the Designed Learning Path2016/06/299th International Conference on Educational Data Mining5461http://www.educationaldatamining.org/EDM2016/proceedings/paper_63.pdf
Daniel Davis, Guanliang Chen, Claudia Hauff and Geert-Jan Houben (presentation)

Dynamics of Peer Grading: An Empirical Study2016/06/299th International Conference on Educational Data Mining6269http://www.educationaldatamining.org/EDM2016/proceedings/paper_23.pdf
Luca de Alfaro and Michael Shavlovsky

Sequence Matters, But How Exactly? A Method for Evaluating Activity Sequences from Data2016/06/299th International Conference on Educational Data Mining7077http://www.educationaldatamining.org/EDM2016/proceedings/paper_164.pdf
Shayan Doroudi, Kenneth Holstein, Vincent Aleven and Emma Brunskill

Measuring Gameplay Affordances of User-Generated Content in an Educational Game2016/06/299th International Conference on Educational Data Mining7885http://www.educationaldatamining.org/EDM2016/proceedings/paper_100.pdf
Andrew Hicks, Zhongxiu Liu, Michael Eagle and Tiffany Barnes (presentation)

The Eyes Have It: Gaze-based Detection of Mind Wandering during Learning with an Intelligent Tutoring System2016/06/299th International Conference on Educational Data Mining8693http://www.educationaldatamining.org/EDM2016/proceedings/paper_78.pdf
Stephen Hutt, Caitlin Mills, Shelby White, Patrick J. Donnelly and Sidney K. D'Mello

How Deep is Knowledge Tracing?2016/06/299th International Conference on Educational Data Mining94101http://www.educationaldatamining.org/EDM2016/proceedings/paper_144.pdf
Mohammad Khajah, Robert Lindsey and Michael Mozer

Temporally Coherent Clustering of Student Data2016/06/299th International Conference on Educational Data Mining102109http://www.educationaldatamining.org/EDM2016/proceedings/paper_11.pdf
Severin Klingler, Tanja Käser, Barbara Solenthaler and Markus Gross (presentation)

Web as a textbook: Curating Targeted Learning Paths through the Heterogeneous Learning Resources on the Web2016/06/299th International Conference on Educational Data Mining110118http://www.educationaldatamining.org/EDM2016/proceedings/paper_159.pdf
Igor Labutov and Hod Lipson

Calibrated Self-Assessment2016/06/299th International Conference on Educational Data Mining119126http://www.educationaldatamining.org/EDM2016/proceedings/paper_158.pdf
Igor Labutov and Christoph Studer

MOOC Learner Behaviors by Country and Culture; an Exploratory Analysis2016/06/299th International Conference on Educational Data Mining127134http://www.educationaldatamining.org/EDM2016/proceedings/paper_121.pdf
Zhongxiu Liu, Rebecca Brown, Collin Lynch, Tiffany Barnes, Ryan Baker, Yoav Bergner and Danielle Mcnamara (presentation)

Effect of student ability and question difficulty on duration2016/06/299th International Conference on Educational Data Mining135142http://www.educationaldatamining.org/EDM2016/proceedings/paper_46.pdf
Yijun Ma, Lalitha Agnihotri, Ryan Baker and Shirin Mojarad

Modeling the Influence of Format and Depth during Effortful Retrieval Practice2016/06/299th International Conference on Educational Data Mining143150http://www.educationaldatamining.org/EDM2016/proceedings/paper_92.pdf
Jaclyn K. Maass and Philip I. Pavlik Jr. (presentation)

The Apprentice Learner architecture: Closing the loop between learning theory and educational data2016/06/299th International Conference on Educational Data Mining151158http://www.educationaldatamining.org/EDM2016/proceedings/paper_118.pdf
Christopher Maclellan, Erik Harpstead, Rony Patel and Kenneth Koedinger

Mining behaviors of students in autograding submission system logs2016/06/299th International Conference on Educational Data Mining159166http://www.educationaldatamining.org/EDM2016/proceedings/paper_172.pdf
Jessica McBroom, Bryn Jeffries, Irena Koprinska and Kalina Yacef

Modelling the way: Using action sequence archetypes to differentiate learning pathways from learning outcomes2016/06/299th International Conference on Educational Data Mining167174http://www.educationaldatamining.org/EDM2016/proceedings/paper_154.pdf
Kelvin H. R. Ng, Kevin Hartman, Kai Liu and Andy W H Khong (presentation)

A Coupled User Clustering Algorithm for Web-based Learning Systems2016/06/299th International Conference on Educational Data Mining175182http://www.educationaldatamining.org/EDM2016/proceedings/paper_42.pdf
Ke Niu, Zhendong Niu, Xiangyu Zhao, Can Wang, Kai Kang and Min Ye (presentation)

Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming2016/06/299th International Conference on Educational Data Mining183190http://www.educationaldatamining.org/EDM2016/proceedings/paper_17.pdf
Benjamin Paaßen, Joris Jensen and Barbara Hammer (presentation)

Generating Data-driven Hints for Open-ended Programming2016/06/299th International Conference on Educational Data Mining191198http://www.educationaldatamining.org/EDM2016/proceedings/paper_33.pdf
Thomas Price, Yihuan Dong and Tiffany Barnes (presentation)

How to Model Implicit Knowledge? Similarity Learning Methods to Assess Perceptions of Visual Representations2016/06/299th International Conference on Educational Data Mining199206http://www.educationaldatamining.org/EDM2016/proceedings/paper_87.pdf
Martina Rau, Blake Mason and Robert Nowak

Student Usage Predicts Treatment Effect Heterogeneity in the Cognitive Tutor Algebra I Program2016/06/299th International Conference on Educational Data Mining207214http://www.educationaldatamining.org/EDM2016/proceedings/paper_75.pdf
Adam Sales, Asa Wilks and John Pane (presentation)

LIVELINET: A Multimodal Deep Recurrent Neural Network to Predict Liveliness in Educational Videos2016/06/299th International Conference on Educational Data Mining215222http://www.educationaldatamining.org/EDM2016/proceedings/paper_64.pdf
Arjun Sharma, Arijit Biswas, Ankit Gandhi, Sonal Patil and Om Deshmukh

Semantic Features of Math Problems: Relationships to Student Learning and Engagement2016/06/299th International Conference on Educational Data Mining223230http://www.educationaldatamining.org/EDM2016/proceedings/paper_140.pdf
Stefan Slater, Jaclyn Ocumpaugh, Ryan Baker, Peter Scupelli, Paul Salvador Inventado and Neil Heffernan

An Ensemble Method to Predict Student Performance in an Online Math Learning Environment2016/06/299th International Conference on Educational Data Mining231238http://www.educationaldatamining.org/EDM2016/proceedings/paper_62.pdf
Martin Stapel, Zhilin Zheng and Niels Pinkwart

Predicting Post-Test Performance from Student Behavior: A High School MOOC Case Study2016/06/299th International Conference on Educational Data Mining239246http://www.educationaldatamining.org/EDM2016/proceedings/paper_123.pdf
Sabina Tomkins, Arti Ramesh and Lise Getoor

The Affective Impact of Tutor Questions: Predicting Frustration and Engagement2016/06/299th International Conference on Educational Data Mining247254http://www.educationaldatamining.org/EDM2016/proceedings/paper_77.pdf
Alexandria Vail, Joseph Wiggins, Joseph Grafsgaard, Kristy Boyer, Eric Wiebe and James Lester (presentation)

Unnatural Feature Engineering: Evolving Augmented Graph Grammars for Argument Diagrams2016/06/299th International Conference on Educational Data Mining255262http://www.educationaldatamining.org/EDM2016/proceedings/paper_137.pdf
Linting Xue, Collin Lynch and Min Chi

Short Papers

Investigating Swarm Intelligence for Performance Prediction2016/06/299th International Conference on Educational Data Mining264269http://www.educationaldatamining.org/EDM2016/proceedings/paper_69.pdf
Mohammad Majid Al-Rifaie, Matthew Yee-King and Mark d'Inverno

Predicting Student Progress from Peer-Assessment Data2016/06/299th International Conference on Educational Data Mining270275http://www.educationaldatamining.org/EDM2016/proceedings/paper_26.pdf
Michael Mogessie Ashenafi, Marco Ronchetti and Giuseppe Riccardi (presentation)

Topic-wise Classification of MOOC Discussions: A Visual Analytics Approach2016/06/299th International Conference on Educational Data Mining276281http://www.educationaldatamining.org/EDM2016/proceedings/paper_109.pdf
Thushari Atapattu, Katrina Falkner and Hamid Tarmazdi

Document Segmentation for Labeling with Academic Learning Objectives2016/06/299th International Conference on Educational Data Mining282287http://www.educationaldatamining.org/EDM2016/proceedings/paper_67.pdf
Divyanshu Bhartiya, Danish Contractor, Sovan Biswas, Bikram Sengupta and Mukesh Mohania

Semi-Automatic Detection of Teacher Questions from Human-Transcripts of Audio in Live Classrooms2016/06/299th International Conference on Educational Data Mining288291http://www.educationaldatamining.org/EDM2016/proceedings/paper_54.pdf
Nathaniel Blanchard, Patrick Donnelly, Andrew Olney, Borhan Samei, Sean Kelly, Xiaoyi Sun, Brooke Ward, Martin Nystrand and Sidney D'Mello

Modeling Interactions Across Skills: A Method to Construct and Compare Models Predicting the Existence of Skill Relationships2016/06/299th International Conference on Educational Data Mining292297http://www.educationaldatamining.org/EDM2016/proceedings/paper_167.pdf
Anthony F. Botelho, Seth Adjei and Neil Heffernan

Robust Predictive Models on MOOCs : Transferring Knowledge across Courses2016/06/299th International Conference on Educational Data Mining298305http://www.educationaldatamining.org/EDM2016/proceedings/paper_146.pdf
Sebastien Boyer and Kalyan Veeramachaneni

A Comparative Analysis of Techniques for Predicting Student Performance2016/06/299th International Conference on Educational Data Mining306311http://www.educationaldatamining.org/EDM2016/proceedings/paper_40.pdf
Hana Bydžovská

Course Enrollment Recommender System2016/06/299th International Conference on Educational Data Mining312317http://www.educationaldatamining.org/EDM2016/proceedings/paper_83.pdf
Hana Bydžovská

Data-driven Automated Induction of Prerequisite Structure Graphs2016/06/299th International Conference on Educational Data Mining318323http://www.educationaldatamining.org/EDM2016/proceedings/paper_149.pdf
Devendra Singh Chaplot, Yiming Yang, Jaime Carbonell and Kenneth R. Koedinger

Exploring Learning Management System Interaction Data: Combining Data-driven and Theory-driven Approaches2016/06/299th International Conference on Educational Data Mining324329http://www.educationaldatamining.org/EDM2016/proceedings/paper_101.pdf
Hongkyu Choi, Ji Eun Lee, Won-Joon Hong, Kyumin Lee, Mimi Recker and Andy Walker

A Comparison of Automatic Teaching Strategies for Heterogeneous Student Populations2016/06/299th International Conference on Educational Data Mining330335http://www.educationaldatamining.org/EDM2016/proceedings/paper_27.pdf
Benjamin Clement, Pierre-Yves Oudeyer and Manuel Lopes

Automatic Assessment of Constructed Response Data in a Chemistry Tutor2016/06/299th International Conference on Educational Data Mining336340http://www.educationaldatamining.org/EDM2016/proceedings/paper_43.pdf
Scott Crossley, Kris Kyle, Jodi Davenport and Danielle McNamara

Choosing versus Receiving Feedback: The Impact of Feedback Valence on Learning in an Assessment Game2016/06/299th International Conference on Educational Data Mining341346http://www.educationaldatamining.org/EDM2016/proceedings/paper_131.pdf
Maria Cutumisu and Daniel L. Schwartz

Course Content Analysis: An Initiative Step toward Learning Object Recommendation Systems for MOOC Learners2016/06/299th International Conference on Educational Data Mining347352http://www.educationaldatamining.org/EDM2016/proceedings/paper_169.pdf
Yiling Dai, Yasuhito Asano and Masatoshi Yoshikawa (presentation)

Student Emotion, Co-occurrence, and Dropout in a MOOC Context2016/06/299th International Conference on Educational Data Mining353357http://www.educationaldatamining.org/EDM2016/proceedings/paper_142.pdf
John Dillon, Nigel Bosch, Malolan Chetlur, Nirandika Wanigasekara, G. Alex Ambrose, Bikram Sengupta and Sidney D'Mello

Semi-Markov model for simulating MOOC students2016/06/299th International Conference on Educational Data Mining358363http://www.educationaldatamining.org/EDM2016/proceedings/paper_112.pdf
Louis Faucon, Łukasz Kidziński and Pierre Dillenbourg

Investigating Gender Difference on Homework in Middle School Mathematics2016/06/299th International Conference on Educational Data Mining364369http://www.educationaldatamining.org/EDM2016/proceedings/paper_90.pdf
Mingyu Feng, Jeremy Roschelle, Craig Mason and Ruchi Bhanot

Investigating Difficult Topics in a Data Structures Course Using Item Response Theory and Logged Data Analysis2016/06/299th International Conference on Educational Data Mining370375http://www.educationaldatamining.org/EDM2016/proceedings/paper_31.pdf
Eric Fouh, Mohammed F. Farghally, Sally Hamouda, Kyu Han Koh and Clifford A. Shaffer (presentation)

Acting the Same Differently: A Cross-Course Comparison of User Behavior in MOOCs2016/06/299th International Conference on Educational Data Mining376381http://www.educationaldatamining.org/EDM2016/proceedings/paper_136.pdf
Ben Gelman, Matt Revelle, Carlotta Domeniconi, Kalyan Veeramachaneni and Aditya Johri

Collaborative Problem Solving Skills versus Collaboration Outcomes: Findings from Statistical Analysis and Data Mining2016/06/299th International Conference on Educational Data Mining382387http://www.educationaldatamining.org/EDM2016/proceedings/paper_20.pdf
Jiangang Hao, Lei Liu, Alina von Davier, Patrick Kyllonen and Christopher Kitchen

Hint Availability Slows Completion Times in Summer Work2016/06/299th International Conference on Educational Data Mining388393http://www.educationaldatamining.org/EDM2016/proceedings/paper_166.pdf
Paul Salvador Inventado, Peter Scupelli, Eric Van Inwegen, Korinn Ostrow, Neil Heffernan III, Jaclyn Ocumpaugh, Ryan Baker, Stefan Slater and Mia Almeda

On Competition for Undergraduate Co-op Placements: A Graph Mining Approach2016/06/299th International Conference on Educational Data Mining394399http://www.educationaldatamining.org/EDM2016/proceedings/paper_12.pdf
Yuheng Jiang and Lukasz Golab (presentation)

Expediting Support for Social Learning with Behavior Modeling2016/06/299th International Conference on Educational Data Mining400405http://www.educationaldatamining.org/EDM2016/proceedings/paper_70.pdf
Yohan Jo, Gaurav Singh Tomar, Oliver Ferschke, Carolyn Rose and Dragan Gasevic

On generalizability of MOOC models2016/06/299th International Conference on Educational Data Mining406411http://www.educationaldatamining.org/EDM2016/proceedings/paper_85.pdf
Łukasz Kidziński, Kshitij Sharma, Mina Shirvani Boroujeni and Pierre Dillenbourg

Closing the Loop with Quantitative Cognitive Task Analysis2016/06/299th International Conference on Educational Data Mining412417http://www.educationaldatamining.org/EDM2016/proceedings/paper_152.pdf
Kenneth Koedinger and Elizabeth McLaughlin (presentation)

Does a Peer Recommender Foster Students' Engagement in MOOCs?2016/06/299th International Conference on Educational Data Mining418423http://www.educationaldatamining.org/EDM2016/proceedings/paper_171.pdf
Hugues Labarthe, François Bouchet, Remi Bachelet and Kalina Yacef

A Contextual Bandits Framework for Personalized Learning Action Selection2016/06/299th International Conference on Educational Data Mining424429http://www.educationaldatamining.org/EDM2016/proceedings/paper_18.pdf
Andrew Lan and Richard Baraniuk

How Good Is Popularity? Summary Grading in Crowdsourcing2016/06/299th International Conference on Educational Data Mining430435http://www.educationaldatamining.org/EDM2016/proceedings/paper_173.pdf
Haiying Li, Zhiqiang Cai and Art Graesser

Beyond Log Files: Using Multi-Modal Data Streams Towards Data-Driven KC Model Improvement2016/06/299th International Conference on Educational Data Mining436441http://www.educationaldatamining.org/EDM2016/proceedings/paper_139.pdf
Ran Liu, Jodi Davenport and John Stamper

Seeking Programming-related Information from Large Scaled Discussion Forums, Help or Harm?2016/06/299th International Conference on Educational Data Mining442447http://www.educationaldatamining.org/EDM2016/proceedings/paper_151.pdf
Yihan Lu and Sharon Hsiao

Classifying behavior to elucidate elegant problem solving in an educational game2016/06/299th International Conference on Educational Data Mining448453http://www.educationaldatamining.org/EDM2016/proceedings/paper_51.pdf
Laura Malkiewich, Ryan S. Baker, Valerie Shute, Shimin Kai and Luc Paquette

Predicting Dialogue Acts for Intelligent Virtual Agents with Multimodal Student Interaction Data2016/06/299th International Conference on Educational Data Mining454459http://www.educationaldatamining.org/EDM2016/proceedings/paper_110.pdf
Wookhee Min, Joseph Wiggins, Lydia Pezzullo, Alexandria Vail, Kristy Elizabeth Boyer, Bradford Mott, Megan Frankosky, Eric Wiebe and James Lester

Exploring the Impact of Data-driven Tutoring Methods on Students' Demonstrative Knowledge in Logic Problem Solving2016/06/299th International Conference on Educational Data Mining460465http://www.educationaldatamining.org/EDM2016/proceedings/paper_125.pdf
Behrooz Mostafavi and Tiffany Barnes

Properties and Applications of Wrong Answers in Online Educational Systems2016/06/299th International Conference on Educational Data Mining466471http://www.educationaldatamining.org/EDM2016/proceedings/paper_13.pdf
Radek Pelánek and Jiří Řihák (presentation)

Using Inverse Planning for Personalized Feedback2016/06/299th International Conference on Educational Data Mining472477http://www.educationaldatamining.org/EDM2016/proceedings/paper_21.pdf
Anna Rafferty, Rachel Jansen and Thomas Griffiths (presentation)

Pattern mining uncovers social prompts of conceptual learning with physical and virtual representations2016/06/299th International Conference on Educational Data Mining478483http://www.educationaldatamining.org/EDM2016/proceedings/paper_32.pdf
Martina Rau

Predicting Performance on MOOC Assessments using Multi-Regression Models2016/06/299th International Conference on Educational Data Mining484489http://www.educationaldatamining.org/EDM2016/proceedings/paper_22.pdf
Zhiyun Ren, Huzefa Rangwala and Aditya Johri (presentation)

Validating Game-based Measures of Implicit Science Learning 2016/06/299th International Conference on Educational Data Mining490495http://www.educationaldatamining.org/EDM2016/proceedings/paper_53.pdf
Elizabeth Rowe, Jodi Asbell-Clarke, Michael Eagle, Andrew Hicks, Tiffany Barnes, Rebecca Brown and Teon Edwards

Assessing Student-Generated Design Justifications in Virtual Engineering Internships2016/06/299th International Conference on Educational Data Mining496501http://www.educationaldatamining.org/EDM2016/proceedings/paper_113.pdf
Vasile Rus, Dipesh Gautam, Zach Swiecki, David Shaffer and Art Graesser

Tensor Factorization for Student Modeling and Performance Prediction in Unstructured Domain2016/06/299th International Conference on Educational Data Mining502506http://www.educationaldatamining.org/EDM2016/proceedings/paper_150.pdf
Shaghayegh Sahebi, Yu-Ru Lin and Peter Brusilovsky

Aim Low: Correlation-based Feature Selection for Model-based Reinforcement Learning2016/06/299th International Conference on Educational Data Mining507512http://www.educationaldatamining.org/EDM2016/proceedings/paper_135.pdf
Shitian Shen and Min Chi

Personalization of Learning Paths in Online Communities of Creators2016/06/299th International Conference on Educational Data Mining513516http://www.educationaldatamining.org/EDM2016/proceedings/paper_175.pdf
Mingxuan Sun and Seungwon Yang

Modeling Visitor Behavior in a Game-Based Engineering Museum Exhibit with Hidden Markov Models 2016/06/299th International Conference on Educational Data Mining517522http://www.educationaldatamining.org/EDM2016/proceedings/paper_104.pdf
Mike Tissenbaum, Matthew Berland and Vishesh Kumar

Learning Curves for Problems with Multiple Knowledge Components2016/06/299th International Conference on Educational Data Mining523526http://www.educationaldatamining.org/EDM2016/proceedings/paper_84.pdf
Brett van de Sande (presentation)

A Nonlinear State Space Model for Identifying At-Risk Students in Open Online Courses2016/06/299th International Conference on Educational Data Mining527532http://www.educationaldatamining.org/EDM2016/proceedings/paper_56.pdf
Feng Wang and Li Chen (presentation)

Transactivity as a Predictor of Future Collaborative Knowledge Integration in Team-Based Learning in Online Courses2016/06/299th International Conference on Educational Data Mining533538http://www.educationaldatamining.org/EDM2016/proceedings/paper_48.pdf
Miaomiao Wen, Keith Maki, Xu Wang, Steven Dow, James Herbsleb and Carolyn Rose

Back to the basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation2016/06/299th International Conference on Educational Data Mining539544http://www.educationaldatamining.org/EDM2016/proceedings/paper_145.pdf
Kevin Wilson, Yan Karklin, Bojian Han and Chaitanya Ekanadham

Going Deeper with Deep Knowledge Tracing2016/06/299th International Conference on Educational Data Mining545550http://www.educationaldatamining.org/EDM2016/proceedings/paper_133.pdf
Xiaolu Xiong, Siyuan Zhao, Eric Vaninwegen and Joseph Beck

Boosted Decision Tree for Q-matrix Refinement2016/06/299th International Conference on Educational Data Mining551555http://www.educationaldatamining.org/EDM2016/proceedings/paper_134.pdf
Peng Xu and Michel Desmarais

Individualizing Bayesian Knowledge Tracing. Are Skill Parameters More Important Than Student Parameters?2016/06/299th International Conference on Educational Data Mining556561http://www.educationaldatamining.org/EDM2016/proceedings/paper_52.pdf
Michael Yudelson (presentation)

Deep Learning + Student Modeling + Clustering: a Recipe for Effective Automatic Short Answer Grading2016/06/299th International Conference on Educational Data Mining562567http://www.educationaldatamining.org/EDM2016/proceedings/paper_61.pdf
Yuan Zhang, Rajat Shah and Min Chi

Posters and Demo

Redefining "What" in Analyses of Who Does What in MOOCs2016/06/299th International Conference on Educational Data Mining569570http://www.educationaldatamining.org/EDM2016/proceedings/paper_128.pdf
Alok Baikadi, Carrie Demmans Epp, Yanjin Long and Christian Schunn (poster)

Text Classification of Student Self-Explanations in College Physics Questions2016/06/299th International Conference on Educational Data Mining571572http://www.educationaldatamining.org/EDM2016/proceedings/paper_156.pdf
Sameer Bhatnagar, Michel Desmarais, Nathaniel Lasry and Elizabeth Charles

Automated Feedback on the Quality of Collaborative Processes: An Experience Report2016/06/299th International Conference on Educational Data Mining573574http://www.educationaldatamining.org/EDM2016/proceedings/paper_95.pdf
Marcela Borge and Carolyn Rosé (poster)

Mining Sequences of Gameplay for Embedded Assessment in Collaborative Learning2016/06/299th International Conference on Educational Data Mining575576http://www.educationaldatamining.org/EDM2016/proceedings/paper_96.pdf
Philip Buffum, Megan Frankosky, Kristy Boyer, Eric Wiebe, Bradford Mott and James Lester

Can Word Probabilities from LDA be Simply Added up to Represent Documents? 2016/06/299th International Conference on Educational Data Mining577578http://www.educationaldatamining.org/EDM2016/proceedings/paper_124.pdf
Zhiqiang Cai, Haiying Li, Xiangen Hu and Art Graesser (poster)

Examining the necessity of problem diagrams using MOOC AB experiments2016/06/299th International Conference on Educational Data Mining579580http://www.educationaldatamining.org/EDM2016/proceedings/paper_193.pdf
Zhongzhou Chen, Neset Demirci and David Pritchard (poster)

Identifying relevant user behavior and predicting learning and persistence in an ITS-based afterschool program 2016/06/299th International Conference on Educational Data Mining581582http://www.educationaldatamining.org/EDM2016/proceedings/paper_102.pdf
Scotty Craig, Xudong Huang, Jun Xie, Ying Fang and Xiangen Hu (poster)

Extracting Measures of Active Learning and Student Self-Regulated Learning Strategies from MOOC Data2016/06/299th International Conference on Educational Data Mining583584http://www.educationaldatamining.org/EDM2016/proceedings/paper_37.pdf
Nicholas Diana, Michael Eagle, John Stamper and Kenneth Koedinger

Exploring Social Influence on the Usage of Resources in an Online Learning Community2016/06/299th International Conference on Educational Data Mining585586http://www.educationaldatamining.org/EDM2016/proceedings/paper_105.pdf
Ogheneovo Dibie, Tamara Sumner, Keith Maull and David Quigley

Time Series Cross Section method for monitoring students' page views of course materials and improving classroom teaching2016/06/299th International Conference on Educational Data Mining587588http://www.educationaldatamining.org/EDM2016/proceedings/paper_93.pdf
Konomu Dobashi

Predicting STEM Achievement with Learning Management System Data: Prediction Modeling and a Test of an Early Warning System2016/06/299th International Conference on Educational Data Mining589590http://www.educationaldatamining.org/EDM2016/proceedings/paper_47.pdf
Michelle Dominguez, Matthew Bernacki and Merlin Uesbeck (poster)

Comparison of Selection Criteria for Multi-Feature Hierarchical Activity Mining in Open Ended Learning Environments2016/06/299th International Conference on Educational Data Mining591592http://www.educationaldatamining.org/EDM2016/proceedings/paper_115.pdf
Yi Dong, John S. Kinnebrew and Gautam Biswas (poster)

A Data-Driven Framework of Modeling Skill Combinations for Deeper Knowledge Tracing2016/06/299th International Conference on Educational Data Mining593594http://www.educationaldatamining.org/EDM2016/proceedings/paper_163.pdf
Yun Huang, Julio Guerra and Peter Brusilovsky (poster)

Generating Semantic Concept Map for MOOCs2016/06/299th International Conference on Educational Data Mining595596http://www.educationaldatamining.org/EDM2016/proceedings/paper_14.pdf
Zhuoxuan Jiang, Peng Li, Yan Zhang and Xiaoming Li (poster)

How to Judge Learning on Online Learning: Minimum Learning Judgment System2016/06/299th International Conference on Educational Data Mining597598http://www.educationaldatamining.org/EDM2016/proceedings/paper_185.pdf
Jaechoon Jo and Heuiseok Lim (poster)

Guiding Students Towards Frequent High-Utility Paths in an Ill-Defined Domain2016/06/299th International Conference on Educational Data Mining599600http://www.educationaldatamining.org/EDM2016/proceedings/paper_168.pdf
Igor Jugo, Božidar Kovačić and Vanja Slavuj (poster)

Portrait of an Indexer - Computing Pointers Into Instructional Videos2016/06/299th International Conference on Educational Data Mining601602http://www.educationaldatamining.org/EDM2016/proceedings/paper_71.pdf
Andrew Lamb, Jose Hernandez, Jeffrey Ullman and Andreas Paepcke

Hierarchical Cluster Analysis Heatmaps and Pattern Analysis: An Approach for Visualizing Learning Management System Interaction Data2016/06/299th International Conference on Educational Data Mining603604http://www.educationaldatamining.org/EDM2016/proceedings/paper_34.pdf
Ji Eun Lee, Mimi Recker, Alex Bowers and Min Yuan (poster)

Understanding Engagement in MOOCs2016/06/299th International Conference on Educational Data Mining605606http://www.educationaldatamining.org/EDM2016/proceedings/paper_181.pdf
Qiujie Li and Rachel Baker (poster)

How quickly can wheel spinning be detected?2016/06/299th International Conference on Educational Data Mining607608http://www.educationaldatamining.org/EDM2016/proceedings/paper_66.pdf
Noboru Matsuda, Sanjay Chandrasekaran and John Stamper (poster)

Exploring and Following Students' Strategies When Completing Their Weekly Tasks2016/06/299th International Conference on Educational Data Mining609610http://www.educationaldatamining.org/EDM2016/proceedings/paper_195.pdf
Jessica McBroom, Bryn Jeffries, Irena Koprinska and Kalina Yacef (poster)

Identifying Student Behaviors Early in the Term for Improving Online Course Performance2016/06/299th International Conference on Educational Data Mining611612http://www.educationaldatamining.org/EDM2016/proceedings/paper_141.pdf
Makoto Mori and Philip Chan (poster)

Time Series Analysis of VLE Activity Data2016/06/299th International Conference on Educational Data Mining613614http://www.educationaldatamining.org/EDM2016/proceedings/paper_72.pdf
Ewa Młynarska, Pádraig Cunningham and Derek Greene (poster)

Massively Scalable EDM with Spark2016/06/299th International Conference on Educational Data Mining615615http://www.educationaldatamining.org/EDM2016/proceedings/paper_194.pdf
Tristan Nixon

Study on Automatic Scoring of Descriptive Type Tests using Text Similarity Calculations2016/06/299th International Conference on Educational Data Mining616617http://www.educationaldatamining.org/EDM2016/proceedings/paper_184.pdf
Izuru Nogaito, Keiji Yasuda and Hiroaki Kimura (poster)

Equity of Learning Opportunities in the Chicago City of Learning Program2016/06/299th International Conference on Educational Data Mining618619http://www.educationaldatamining.org/EDM2016/proceedings/paper_74.pdf
David Quigley, Ogheneovo Dibie, Arafat Sultan, Katie Van Horne, William R. Penuel, Tamara Sumner, Ugochi Acholonu and Nichole Pinkard

Novel features for capturing cooccurrence behavior in dyadic collaborative problem solving tasks2016/06/299th International Conference on Educational Data Mining620621http://www.educationaldatamining.org/EDM2016/proceedings/paper_81.pdf
Vikram Ramanarayanan and Saad Khan

Adding eye-tracking AOI data to models of representation skills does not improve prediction accuracy2016/06/299th International Conference on Educational Data Mining622623http://www.educationaldatamining.org/EDM2016/proceedings/paper_165.pdf
Martina Rau and Zach Pardos

MATHia X: The Next Generation Cognitive Tutor2016/06/299th International Conference on Educational Data Mining624625http://www.educationaldatamining.org/EDM2016/proceedings/paper_187.pdf
Steven Ritter and Stephen Fancsali

Towards Integrating Human and Automated Tutoring Systems2016/06/299th International Conference on Educational Data Mining626627http://www.educationaldatamining.org/EDM2016/proceedings/paper_189.pdf
Steven Ritter, Michael Yudelson, Stephen Fancsali and Susan Berman

Toward Revision-Sensitive Feedback in Automated Writing Evaluation2016/06/299th International Conference on Educational Data Mining628629http://www.educationaldatamining.org/EDM2016/proceedings/paper_80.pdf
Rod Roscoe, Matthew Jacovina, Laura Allen, Adam Johnson and Danielle McNamara

Preliminary Results On Dialogue Act and Subact Classification in Chat-based Online Tutorial Dialogues2016/06/299th International Conference on Educational Data Mining630631http://www.educationaldatamining.org/EDM2016/proceedings/paper_186.pdf
Vasile Rus, Rajendra Banjade, Nabin Maharjan, Donald Morrison, Steve Ritter and Michael Yudelson (poster)

SAS Tools for Educational Data Mining2016/06/299th International Conference on Educational Data Mining632633http://www.educationaldatamining.org/EDM2016/proceedings/paper_180.pdf
Jennifer Sabourin, Scott Mcquiggan and André De Waal

Applicability of Educational Data Mining in Afghanistan: Opportunities and Challenges2016/06/299th International Conference on Educational Data Mining634635http://www.educationaldatamining.org/EDM2016/proceedings/paper_1.pdf
Abdul Rahman Sherzad (poster)

Browsing-Pattern Mining from e-Book Logs with Non-negative Matrix Factorization2016/06/299th International Conference on Educational Data Mining636637http://www.educationaldatamining.org/EDM2016/proceedings/paper_183.pdf
Atsushi Shimada, Fumiya Okubo and Hiroaki Ogata (poster)

How employment constrains participation in MOOCs?2016/06/299th International Conference on Educational Data Mining638639http://www.educationaldatamining.org/EDM2016/proceedings/paper_94.pdf
Mina Shirvani Boroujeni, Łukasz Kidziński and Pierre Dillenbourg (poster)

Quantifying How Students Use an Online Learning System: A Focus on Transitions and Performance2016/06/299th International Conference on Educational Data Mining640641http://www.educationaldatamining.org/EDM2016/proceedings/paper_190.pdf
Erica Snow, Andrew Krumm, Timothy Podkul, Mingyu Feng and Alex Bowers

A Platform for Integrating and Analyzing Data to Evaluate the Impacts of Educational Technologies2016/06/299th International Conference on Educational Data Mining642643http://www.educationaldatamining.org/EDM2016/proceedings/paper_202.pdf
Daniel Stanhope and Karl Rectanus

Educational Technology: What 49 Schools Discovered about Usage when the Data were Uncovered 2016/06/299th International Conference on Educational Data Mining644645http://www.educationaldatamining.org/EDM2016/proceedings/paper_203.pdf
Daniel Stanhope and Karl Rectanus (poster)

Learning curves versus problem difficulty: an analysis of the Knowledge Component picture for a given context2016/06/299th International Conference on Educational Data Mining646647http://www.educationaldatamining.org/EDM2016/proceedings/paper_127.pdf
Brett van de Sande

Validating Automated Triggers and Notifications @ Scale in Blackboard Learn2016/06/299th International Conference on Educational Data Mining648649http://www.educationaldatamining.org/EDM2016/proceedings/paper_188.pdf
John Whitmer, Aleksander Dietrichson and Bryan O'Haver

Discovering 'Tough Love' Interventions Despite Dropout2016/06/299th International Conference on Educational Data Mining650651http://www.educationaldatamining.org/EDM2016/proceedings/paper_130.pdf
Joseph Jay Williams, Anthony Botelho, Adam Sales, Neil Heffernan and Charles Lang (poster)

Stimulating collaborative activity in online social learning environments with Markov decision processes2016/06/299th International Conference on Educational Data Mining652653http://www.educationaldatamining.org/EDM2016/proceedings/paper_119.pdf
Matthew Yee-King and Mark D'Inverno (poster)

Predicting student grades from online, collaborative social learning metrics using K-NN2016/06/299th International Conference on Educational Data Mining654655http://www.educationaldatamining.org/EDM2016/proceedings/paper_120.pdf
Matthew Yee-King, Andreu Grimalt-Reynes and Mark D'Inverno (poster)

Meta-learning for predicting the best vote aggregation method: Case study in collaborative searching of LOs2016/06/299th International Conference on Educational Data Mining656657http://www.educationaldatamining.org/EDM2016/proceedings/paper_9.pdf
Alfredo Zapata González, Victor Menendez, Cristobal Romero and Manuel E. Prieto Méndez

Soft Clustering of Physics Misconceptions Using a Mixed Membership Model2016/06/299th International Conference on Educational Data Mining658659http://www.educationaldatamining.org/EDM2016/proceedings/paper_174.pdf
Guoguo Zheng, Seohyun Kim, Yanyan Tan and April Galyardt (poster)

Perfect Scores Indicate Good Students !? The Case of One Hundred Percenters in a Math Learning System2016/06/299th International Conference on Educational Data Mining660661http://www.educationaldatamining.org/EDM2016/proceedings/paper_116.pdf
Zhilin Zheng, Martin Stapel and Niels Pinkwart (poster)

Doctoral Consortium

Towards the Understanding of Gestures and Vocalization Coordination in Teaching Context2016/06/299th International Conference on Educational Data Mining663665http://www.educationaldatamining.org/EDM2016/proceedings/paper_179.pdf
Roghayeh Barmaki and Charles E. Hughes (poster)

Towards Modeling Chunks in a Knowledge Tracing Framework for Students' Deep Learning2016/06/299th International Conference on Educational Data Mining666668http://www.educationaldatamining.org/EDM2016/proceedings/paper_196.pdf
Yun Huang and Peter Brusilovsky (poster)

Using Case-Based Reasoning to Automatically Generate High-Quality Feedback for Programming Exercises2016/06/299th International Conference on Educational Data Mining669671http://www.educationaldatamining.org/EDM2016/proceedings/paper_199.pdf
Angelo Kyrilov (poster)

Predicting Off-task Behaviors for Adaptive Vocabulary Learning System2016/06/299th International Conference on Educational Data Mining672674http://www.educationaldatamining.org/EDM2016/proceedings/paper_192.pdf
Sungjin Nam (poster)

Estimation of prerequisite skills model from large scale assessment data using semantic data mining2016/06/299th International Conference on Educational Data Mining675677http://www.educationaldatamining.org/EDM2016/proceedings/paper_197.pdf
Bruno Penteado

Designing Interactive and Personalized Concept Mapping Learning Environments 2016/06/299th International Conference on Educational Data Mining678680http://www.educationaldatamining.org/EDM2016/proceedings/paper_201.pdf
Shang Wang (poster)

Industry Track - Short Papers

Analysing and Refining Pilot Training2016/06/299th International Conference on Educational Data Mining682687http://www.educationaldatamining.org/EDM2016/proceedings/paper_41.pdf
Bruno Emond, Scott Buffett, Cyril Goutte and Jaff Guo

A Scalable Learning Analytics Platform for Automated Writing Feedback2016/06/299th International Conference on Educational Data Mining688693http://www.educationaldatamining.org/EDM2016/proceedings/paper_15.pdf
Jacqueline Feild, Nicolas Lewkow, Neil Zimmerman, Mark Riedesel and Alfred Essa (presentation)

An Automated Test of Motor Skills for Job Selection and Feedback2016/06/299th International Conference on Educational Data Mining694699http://www.educationaldatamining.org/EDM2016/proceedings/paper_79.pdf
Bhanu Pratap Singh Rawat and Varun Aggarwal

Industry Track - Posters

Studying Assignment Size and Student Performance Using Propensity Score Matching2016/06/299th International Conference on Educational Data Mining701702http://www.educationaldatamining.org/EDM2016/proceedings/paper_82.pdf
Shirin Mojarad (poster)

Toward Automated Support for Teacher-Facilitated Formative Feedback on Student Writing2016/06/299th International Conference on Educational Data Mining703704http://www.educationaldatamining.org/EDM2016/proceedings/paper_98.pdf
Jennifer Sabourin, Lucy Kosturko, Kristin Hoffmann and Scott Mcquiggan

TutorSpace: Content-centric Platform for Enabling Blended Learning in Developing Countries2016/06/299th International Conference on Educational Data Mining705706http://www.educationaldatamining.org/EDM2016/proceedings/paper_103.pdf
Kuldeep Yadav, Kundan Shrivastava, Ranjeet Kumar, Saurabh Srivastava and Om Deshmukh