Advancing the science of learning through machine intelligence and adaptive systems
The Optimizing Human Learning workshop brings together leading researchers, educators, and practitioners to explore cutting-edge approaches in machine learning, adaptive learning systems, and educational technology. Our goal is to bridge the gap between theoretical research and practical applications in personalized education.
This workshop is affiliated with the International Conference on Artificial Intelligence in Education (AIED) and focuses on leveraging AI and data science to enhance learning outcomes, improve student engagement, and create more effective educational experiences.
The 2020 edition focused on machine learning approaches for personalized education, adaptive testing, and intelligent tutoring systems. Featured talks from leading researchers in AI and education.
University of Edinburgh
Presented research on adaptive learning algorithms and their applications in educational technology.
View Researcher Profile →Inria & DeepMind
Discussed reinforcement learning approaches for optimizing educational interventions and personalized learning paths.
View Researcher Profile →The inaugural workshop explored foundational topics in adaptive learning, knowledge tracing, and the application of machine learning to educational assessment and feedback systems.
Explore how adaptive algorithms personalize educational content in real-time.
Discover machine learning applications for educational assessment and feedback.
Learn about AI-powered tutoring systems that adapt to individual learning needs.
Browse our collection of academic publications on learning optimization.
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