| Vol-2592 urn:nbn:de:0074-2592-2 Copyright © 2020 for the individual papers by the papers' authors. Copyright © 2020 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

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

### Joint Proceedings of the Workshops of the 12th International Conference on Educational Data Mining
co-located with the 12th International Conference on Educational Data Mining (EDM 2019)

### Montréal, Canada, July 2-5, 2019.

Edited by

### Luc Paquette *
Cristobal Romero **

* University of Illinois at Urbana-Champaign, Curriculum & Instruction, USA
** University of Cordoba, Computer Science, Spain

## 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

2020-04-09: submitted by Luc Paquette, metadata incl. bibliographic data published under Creative Commons CC0
2020-04-11: published on CEUR-WS.org |valid HTML5|