OPEA Workshop 2025: International Workshop on Optimizing Personalized Education with AI

In the era of “AI in Everywhere”, integrating advanced AI techniques into the educational environment has become a central issue for the continuous development of modern education systems. The main objective of this workshop is to discuss and share the latest academic efforts in applying optimization and machine learning to these crucial scenarios. Recent advances reveal that an AI-based approach can significantly enhance manual analysis and decision-making processes. For instance, machine learning can unravel the complex influences on student motivation, while combinatorial optimization techniques are proven to be highly effective in assembling personalized and adaptive tests. The main objective of this workshop is to discuss and share the latest academic efforts in applying optimization and machine learning to automate and improve these crucial educational scenarios. We aim to bring together researchers from optimization, machine learning, and educational technology to explore cutting-edge solutions and forge a path toward truly optimized, personalized learning environments.

The event’s areas of interest encompass the following topics, without limitation: affective computing, automated test assembly, academic motivation/attribution/engagement and cognitive diagnosis models.