From AI Conversations to Agent Collaboration: Practice and Reflections on AI-Assisted Teaching

Opening slide of the presentation

Abstract

This talk traces a progression from manually authored slides to web-based AI conversations and collaboration with Codex. Examples from university physics and quantum optics illustrate how AI can support teaching materials while the teacher remains responsible for learning objectives, content selection, and quality. Lessons from preparation and classroom use become reusable skills that improve through iteration.

Date
Sep 30, 2026
Event
University Physics Teaching Experience Sharing
Location
Lecture Hall 101, School of Physics, Xiaoxiang Campus, Central South University

The presentation is in Chinese. It includes interactive web examples, excerpts from teaching slides, and conversations from the authoring process.

The central principle is teacher-led use of AI: the teacher determines learning objectives, selects content, checks quality, and turns experience into reusable skills that improve with each iteration.

The AI-assisted teaching talk in progress, with the speaker presenting slides to the audience
At the talk · September 30, 2026

Browse the online edition from left to right, with examples included in sequence. A desktop browser is recommended. The downloaded edition opens directly in a modern browser; Bilibili videos and external links still require an internet connection.

Zi-Min Li
Zi-Min Li
Associate Professor and Master’s Supervisor

My research spans ultrastrong light-matter coupling, non-Hermitian physics and open quantum systems, quantum chaos and entanglement dynamics, and quantum batteries and quantum energy control.