


default search action
12th 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

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.


Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID














