Full-day 14th Jul 2024
WS1: 8th Educational Data Mining in Computer Science Education (CSEDM) Workshop
Organizers: Yang Shi, Peter Brusilovsky, Bita Akram, Thomas W. Price, Juho Leinonen, Kenneth R. Koedinger, and Andrew Lan
Link: https://sites.google.com/view/csedm-workshop-edm24/home
WS2: Human-Centric eXplainable AI in Education (HEXED) Workshop
Organizers: Juan Pinto, Luc Paquette, Vinitra Swamy, Tanja Käser, Qianhui Liu and Lea Cohausz
Link: https://hexed-workshop.github.io
WS4: Leveraging Large Language Models for Next-Generation Educational Technologies
Organizers: Neil Heffernan, Rose Wang, Christopher MacLellan, Arto Hellas, Chenglu Li, Candace Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore, Adish Singla, Zach Pardos, Maciej Pankiewicz, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew Lan, Lan Jiang, Mingyu Feng, Tanja Kaser and Eamon Worden
Link: https://sites.google.com/view/llmworkshopedm/home
TUT/WS: Educational Data Mining in Writing and Literacy Instruction
Organizers: Collin Lynch, Paul Deane, Piotr Mitros, Zhikai Gao and Damilola Babalola
Link: https://events.learning-observer.org/EDM_2024_Workshop
Half-Day Workshop and Tutorials
14th Jul 2024, Morning Slot
TUT1: Logistic Knowledge Tracing Tutorial: Practical Educational Applications
Organizers: Philip I. Pavlik Jr., Luke G. Eglington, Meng Cao, and Wei Chu
Link: http://optimallearning.org/logistic-knowledge-tracing-lkt-tutorial.html
TUT2: Promoting Open Science in Educational Data Mining: An Interactive Tutorial on Licensing, Data, and Containers
Organizers: Aaron Haim, Stephen Hutt, Stacy T. Shaw, and Neil T. Heffernan
Link: https://edm2024-tutorial.howtoopenscience.com/
TUT3: Thinking Causally in EDM: A Hands-On Tutorial for Causal Modeling Using DAGs
Organizers: Lea Cohausz
Link: https://lea-cohausz.github.io/thinking-causally/
14th Jul 2024, Afternoon Slot
TUT4: Beyond Tutor Logs: Utilizing sensor data for measuring student behavior
Organizers: David Cooper
Link: https://www.cs.wcupa.edu/dcooper/edm2024/Tutorial_Beyond_Tutor_logs_II.html
TUT5: Tools for Planning and Analyzing Randomized Controlled Trials and A/B Tests
Organizers: Adam Sales, Johann Gagnon-Bartsch and Duy Pham
Link: https://sites.google.com/g.ucla.edu/edm2024tutorial/home
WS3: Causal Inference in Educational Data Mining
Organizers: Anthony F. Botelho, Avery Closser, Adam Sales, Neil Heffernan and Kirk Vanacore
Link: https://sites.google.com/view/edm2024causalinference/home
Workshop & Tutorial Chairs
Bita Akram (she/her) – North Carolina State University, USA
Sergey Sosnovsky – Utrecht University, Netherlands