Workshops and Tutorials

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