A hands-on workshop exploring the intersection of generative AI and synthetic data generation for privacy-preserving learning analytics research.
Our workshop is officially part of the LAK26 pre-conference schedule. View all workshops and register through the official conference portal.
View LAK26 Official ScheduleMorning Half-Day Session
3.5 Hours Workshop
LAK26 Conference Venue
Learning analytics research is often constrained by limited access to authentic educational data due to ethical, legal, and privacy concerns. Synthetic data has emerged as a promising approach to address these challenges by generating artificial datasets that preserve the statistical properties and utility of real data while protecting individual privacy.
The recent rise of Generative AI (GenAI), including large language models (LLMs), diffusion models, and generative adversarial networks (GANs), has significantly advanced the quality and scalability of synthetic data generation.
Generate synthetic educational datasets using CTGAN and advanced techniques
Create synthetic assignments, feedback, and dialogues using LLMs
Generate educational images and visualizations with diffusion models
Welcome, participant introductions, and workshop overview
Foundational perspectives on synthetic data in learning analytics
Short presentations from participants and Q&A sessions
Networking and refreshments
CTGAN, SDV frameworks, and evaluation metrics
LLMs for text generation and diffusion models for images
Community roadmap synthesis and closing remarks
We are preparing synthetic educational datasets that will be made available to workshop participants. These datasets will demonstrate various synthetic data generation techniques across different educational contexts.
Stay tuned for announcements about dataset availability and access instructions.
CTGAN, SDV, OpenAI APIs, Diffusion Models
Curated papers and resources on synthetic data
Jupyter notebooks and implementation guides
Registration for this workshop is handled through the LAK26 official registration process. Please visit the LAK26 conference website for registration details and deadlines.
For any questions about the workshop, lightning talk submissions, or to discuss potential topics, please contact the organizers:
Send your inquiries to any of our team members listed above
Share your research, use cases, or position papers
Technical questions, tool requirements, or participation details