EDM-Workshops-2019
Workshops of the 12th International Conference on Educational Data Mining 2019

Table of Contents

• Preface
  
  

Workshop 1: Learning Analytics: Building Bridges Between the Education and the Computing Communities

Organized by Sébastien Béland, Iris Bourgault Bouthillier, Michel Desmarais, Nathalie Loye and Guillaume Loignon

• Enhancing a Web-based Language Tutoring System with Learning Analytics 1-7
  Björn Rudzewitz, Ramon Ziai, Florian Nuxoll, Kordula De Kuthy, Detmar Meurers
• Analyzing Student Performance with Personalized Study Path and Learning Trouble Ratio 8-16
  James Shing Chun Yip, Raymond Chi-Wing Wong
• Differentiating between Educational Data Mining and Learning Analytics: A Bibliometric Approach 17-22
  Stevens Dormezil, Taghi Khoshgoftaar, Federica Robinson-Bryant
• Student Behavioral Embeddings and Their Relationship to Outcomes in a Collaborative Online Course 23-29
  Renzhe Yu, Zachary Pardos, John Scott

Workshop 2: Workshop on EDM & Games: Leveling Up Engaged Learning with Data-Rich Analytics

Organized by Jonathan Rowe, Bradford Mott, Luc Paquette and Seung Lee

• Exploring Expertise through Visualizing Agent Policies and Human Strategies in Open-Ended Games 30-37
  Steven Moore, John Stamper
• Comparison of Off the Shelf Data Mining Methodologies in Educational Game Analytics 38-43
  David J. Gagnon, Erik Harpstead, Stefan Slater
• Sensor-based Data Fusion for Multimodal Affect Detection in Game-based Learning Environments 44-50
  Nathan L. Henderson, Jonathan P. Rowe, Bradford W. Mott, James C. Lester
• Predicting Challenge Outcomes for Students in a Digital Game for Learning Genetics 51-59
  Ziwei Wu, Bradford Mott, Wookhee Min, Robert Taylor, Danielle Boulden, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric Wiebe, James Lester
• How Long is Enough? Predicting Student Outcomes with Same-Day Gameplay Data in an Educational Math Game 60-68
  Rachel Harred, Christa Cody, Mehak Maniktala, Preya Shabrina, Tiffany Barnes, Collin Lynch

Workshop 3: Reinforcement Learning for Educational Data Mining

Organized by Hamoon Azizsoltani, Min Chi, Joseph Jay Williams, Tiffany Barnes, Anna Rafferty, Markel Sanz Ausin and Yeo Jin Kim

• Importance Sampling to Identify Empirically Valid Policies and their Critical Decisions 69-78
  Song Ju, Shitian Shen, Hamoon Azizsoltani, Tiffany Barnes, Min Chi