1st Edition
Enhancing Classroom Dialogue Productiveness Exploring the Potential of Artificial Intelligence
This book demonstrates how Artificial Intelligence (AI) can be used to uncover the patterns of classroom dialogue and increase the productivity of dialogue.
In this book, the author uses a range of data mining techniques to explore the productive features and sequential patterns of classroom dialogue. She analyses how the Large Language Model (LLM) as an AI technique can be adapted to enhance dialogue contributions. The book also includes valuable feedback and practical cases from teachers and their dialogue transcripts, facilitating understanding of AI use and pedagogical development.
This book makes original contributions to the field of classroom dialogue and technology, and will encourage scholars making similar attempts at technological infusion for pedagogical improvement.
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
Biography
Yu Song has attained her bachelor’s degree from Peking University and accomplished MPhil and PhD studies in University of Cambridge. 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.
