In this session, we will explore together how AI drives systemic change and enhances teaching and learning through implementing AI to innovate pedagogy and dynamic collaborations across campus.
Extended Abstract
In this session, we will explore together how AI drives systemic change and enhances teaching and learning through implementing AI to innovate pedagogy and dynamic collaborations across campus. This session will highlight successful AI initiatives, and their impacts, demonstrating the potential for these projects to transcend campus boundaries, and discussing how these projects can extend beyond campus boundaries to influence broader educational practices. Participate in discussions on evidence-based practices and explore actionable strategies for leading AI-driven innovation at your institution and beyond.
Presenting Speakers
Yingjie Liu Ph.D.
Lead Instructional Designer at San Jose State University
Dr. Yingjie Liu is the Lead Instructional Designer at San Jose State University. With over a decade of experience in instructional design and educational technology, she empowers faculty through innovative course development and technology integration. Dr. Liu leads various emerging technology initiatives, including the XR+AI Learning Institute and campus-wide AI initiatives. She is also part of the California Education Learning Lab's AI Faculty-Innovators-in-Residence Strategy Team, working to develop AI resources and programming to support teaching and learning across public higher education in California.
Leading with AI: Advanced Strategies for Developing and Expanding Educational AI Ecosystems
