van der Schaar Lab

Personalized education explored in new paper and panel discussion

A paper recently accepted for publication and an upcoming panel discussion both focus on the topic of personalized education using machine learning and AI tools—one of the van der Schaar Lab’s ongoing areas of research.

Just as the lab’s approach to healthcare is premised on the fact that all patients are different, our approach to education reflects the incredible heterogeneity between students in terms of abilities, backgrounds, interests, goals, needs and priorities. Since a one-size-fits-all model for education will seldom yield optimal results for any given student, we are particularly interested in the application of machine learning and AI tools to deliver truly personalized education.

This is the focus of a recent paper co-authored by Mihaela van der Schaar, entitled “Personalized Education in the AI Era: What to Expect Next?” In this paper, Mihaela and co-authors Setareh Maghsudi, Andrew Lan, and Jie Xu provide a brief review of state-of-the-art research, investigate the challenges of machine learning/AI-based personalized education, and discuss potential solutions. The paper was recently accepted for publication in the IEEE Signal Processing Magazine (editor-in-chief: Christian Jutten).

Personalized Education in the AI Era: What to Expect Next?

Setareh Maghsudi, Andrew Lan, Jie Xu, Mihaela van der Schaar

Abstract

Mihaela will also discuss the latest developments related to AI and machine learning tools for personalized education at a virtual panel hosted by ODSC, which will take place on February 23.

To see our previous work in the area of personalized education, click here.

Nick Maxfield

From 2020 to 2022, Nick oversaw the van der Schaar Lab’s communications, including media relations, content creation, and maintenance of the lab’s online presence.