Enhancing Classroom Dialogue Productiveness

Yu Song has attained her bachelor’s degree from Peking University and accomplished MPhil and PhD studies at the University of Cambridge. She works as an associate professor in South China Normal University and a visiting scholar in Peking University. Her research interests include classroom dialogue, intelligent teaching assessment, teacher professional development, and artificial intelligence. She is well-known in the intersection between artificial intelligence and dialogic education.

• 1. Understanding Classroom dialogue: An Overview 2. Educational use of artificial intelligence 3. Automatic assessment of classroom dialogue using machine learning technique 4. Exploring the collective process of classroom dialogue using sequential pattern mining technique 5. Enhancing dialogue productiveness using generative artificial intelligence 6. Applying AI technique to improve teachers’ professional capabilities in dialogic pedagogy