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