Menu:

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

Sponsors

To discover more about sponsorship contact David Lindrum

Presentations

Invited talks

WISE Ways to Strengthen Inquiry Science Learning (paper)

Full papers

11 - Temporally Coherent Clustering of Student Data (paper)

17 - Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming (paper)

33 - Generating Data-driven Hints for Open-ended Programming (paper)

42 - A Coupled User Clustering Algorithm for Web-based Learning Systems (paper)

63 - Gauging MOOC Learners' Adherence to the Designed Learning Path (paper)

75 - Student Usage Predicts Treatment Effect Heterogeneity in the Cognitive Tutor Algebra I Program (paper)

76 - Riding an emotional roller-coaster: A multimodal study of young child's math problem solving activities (paper)

77 - The Affective Impact of Tutor Questions: Predicting Frustration and Engagement (paper)

92 - Modeling the Influence of Format and Depth during Effortful Retrieval Practice (paper)

100 - Measuring Gameplay Affordances of User-Generated Content in an Educational Game (paper)

121 - MOOC Learner Behaviors by Country and Culture; an Exploratory Analysis (paper)

126 - {ENTER}ing the Time Series {SPACE}: Uncovering the Writing Process through Keystroke Analyses (paper)

154 - Modelling the way: Using action sequence archetypes to differentiate learning pathways from learning outcomes (paper)

Short papers

12 - On Competition for Undergraduate Co-op Placements: A Graph Mining Approach (paper)

13 - Properties and Applications of Wrong Answers in Online Educational Systems (paper)

21 - Using Inverse Planning for Personalized Feedback (paper)

22 - Predicting Performance on MOOC Assessments using Multi-Regression Models (paper)

26 - Predicting Student Progress from Peer-Assessment Data (paper)

31 - Investigating Difficult Topics in a Data Structures Course Using Item Response Theory and Logged Data Analysis (paper)

52 - Individualizing Bayesian Knowledge Tracing. Are Skill Parameters More Important Than Student Parameters? (paper)

56 - A Nonlinear State Space Model for Identifying At-Risk Students in Open Online Courses (paper)

84 - Learning Curves for Problems with Multiple Knowledge Components (paper)

152 - Closing the Loop with Quantitative Cognitive Task Analysis (paper)

169 - Course Content Analysis: An Initiative Step toward Learning Object Recommendation Systems for MOOC Learners (paper)

Industry track - Short papers

15 - A Scalable Learning Analytics Platform for Automated Writing Feedback (paper)