AI for the Complexities of Learning

Filter activities

or

AI for the Complexities of Learning
A talk by Kylie Peppler
Discussion
14 Oct 2024
A

AI that Understands the Complexities of the Learning Environment

The integration of AI into learning environments is filled with promise and, yet, is still in its infancy. For AI to enact transformative change for education, it is essential that we use leading theories of learning when designing new AI technologies. Kylie Peppler will present several new research designs that leverage AI, which take a cross-sector, co-design method of research and development to encourage the design of new AI that allows for the complexities of the learning environment. Findings from a recent co-design and initial testing of Symphony Classroom—an AI hub, remote control, and AI software platform built for educational settings—led to significant reductions in teacher technostress (i.e., stress related to technology use), and significant increases in time for teaching and learning. This is representative of how we can reshape our design process as well as use insights derived from the learning sciences to transform the educational landscape at scale.

About the speaker

An artist by training, Dr. Peppler is a professor of Informatics & Education at University of California, Irvine who engages in research that focuses on the intersection of arts, computational technologies and interest-driven learning. She holds a Ph.D. in Urban Schooling from UCLA, where she was part of the NSF-sponsored team that designed and studied the Scratch platform, which garnered her a Dissertation Research Award from the Spencer Foundation. After serving as a UC Presidential Postdoctoral Scholar at UC Irvine, Dr. Peppler joined the Learning Sciences faculty at Indiana University-Bloomington in 2008. Upon joining the UC Irvine faculty in 2018, Dr. Peppler brought her research group, the Creativity Labs, to be a part of UCI’s Connected Learning Lab, where she brings together educators, designers, artists, and learning theorists interested in supporting learning by leveraging youths' interests in digital culture, design, and making.

In cooperation with

TL;DR

Kylie Peppler will present several new research designs that leverage AI, which take a cross-sector, co-design method of research and development to encourage the design of new AI that allows for the complexities of the learning environment.