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

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|

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)