Yu Song – författare

This book demonstrates how artificial intelligence (AI) can be used to uncover the patterns of classroom dialogue and increase the productiveness 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 an understanding of AI use and pedagogical development.

This book makes original contributions to the field of classroom dialogue and technology, and it will encourage scholars making similar attempts at technological infusion for pedagogical improvement.

This book demonstrates how artificial intelligence (AI) can be used to uncover the patterns of classroom dialogue and increase the productiveness 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 an understanding of AI use and pedagogical development.

This book makes original contributions to the field of classroom dialogue and technology, and it will encourage scholars making similar attempts at technological infusion for pedagogical improvement.

Presents a thorough summary of recent advances in microelectronic systems and their applications for personalized healthcare

Integrated Smart Micro-Systems Towards Personalized Healthcare provides up-to-date coverage of developments in smart microelectronics and their applications in health-related areas such as sports safety, remote diagnosis, and closed-loop health management. Using a comprehensive approach to the rapidly growing field, this one-stop resource examines different methods, designs, materials, and applications of systems such as multi-modal sensing biomedical platforms and non-invasive health monitoring sensors.

The book’s five parts detail the core units of micro-systems, self-charging power units, self-driven monitor patches, self-powered sensing platforms, and integrated health monitoring systems. Succinct chapters address topics including multi-functional material optimization, multi-dimensional electrode preparation, multi-scene application display, and the use of multi-modal signal sensing to monitor physical and chemical indicators during exercise. Throughout the text, the authors offer key insights on device performance improvement, reliable fabrication processing, and compatible integration designs.

Integrated Smart Micro-Systems Towards Personalized Healthcare is an essential text for researchers, electronic engineers, entrepreneurs, and industry professionals working in material science, electronics, mechanical engineering, bioengineering, and sensor development.