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ORCID12th EDM 2019: Montréal, Canada - Workshops
- Luc Paquette, Cristóbal Romero:
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 Workshops, Montréal, Canada, July 2-5, 2019. CEUR Workshop Proceedings 2592, CEUR-WS.org 2020
Workshop 1: Learning Analytics: Building Bridges Between the Education and the Computing Communities
- Björn Rudzewitz, Ramon Ziai, Florian Nuxoll, Kordula De Kuthy, Detmar Meurers:
Enhancing a Web-based Language Tutoring System with Learning Analytics. 1-7 - James Shing Chun Yip, Raymond Chi-Wing Wong:
Analyzing Student Performance with Personalized Study Path and Learning Trouble Ratio. 8-16 - Stevens Dormezil, Taghi M. Khoshgoftaar, Federica Robinson-Bryant:
Differentiating between Educational Data Mining and Learning Analytics: A Bibliometric Approach. 17-22 - Renzhe Yu, Zachary A. Pardos, John Scott:
Student Behavioral Embeddings and Their Relationship to Outcomes in a Collaborative Online Course. 23-29
Workshop 2: Workshop on EDM & Games: Leveling Up Engaged Learning with Data-Rich Analytics
- Steven Moore, John C. Stamper:
Exploring Expertise through Visualizing Agent Policies and Human Strategies in Open-Ended Games. 30-37 - David J. Gagnon, Erik Harpstead, Stefan Slater:
Comparison of Off the Shelf Data Mining Methodologies in Educational Game Analytics. 38-43 - Nathan L. Henderson, Jonathan P. Rowe, Bradford W. Mott, James C. Lester:
Sensor-based Data Fusion for Multimodal Affect Detection in Game-based Learning Environments. 44-50 - Ziwei Wu, Bradford W. Mott, Wookhee Min, Robert Taylor, Danielle Boulden, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric N. Wiebe, James C. Lester:
Predicting Challenge Outcomes for Students in a Digital Game for Learning Genetics. 51-59 - Rachel Harred, Christa Cody, Mehak Maniktala, Preya Shabrina, Tiffany Barnes, Collin F. Lynch:
How Long is Enough? Predicting Student Outcomes with Same-Day Gameplay Data in an Educational Math Game. 60-68
Workshop 3: Reinforcement Learning for Educational Data Mining
- Song Ju, Shitian Shen, Hamoon Azizsoltani, Tiffany Barnes, Min Chi:
Importance Sampling to Identify Empirically Valid Policies and their Critical Decisions. 69-78
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