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Artificial Intelligence Accelerates ...
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Artificial Intelligence Accelerates Human Learning = Discussion Data Analytics /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Artificial Intelligence Accelerates Human Learning/ by Katashi Nagao.
Reminder of title:
Discussion Data Analytics /
Author:
Nagao, Katashi.
Description:
XI, 151 p. 90 illus., 76 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Education—Data processing. -
Online resource:
https://doi.org/10.1007/978-981-13-6175-3
ISBN:
9789811361753
Artificial Intelligence Accelerates Human Learning = Discussion Data Analytics /
Nagao, Katashi.
Artificial Intelligence Accelerates Human Learning
Discussion Data Analytics /[electronic resource] :by Katashi Nagao. - 1st ed. 2019. - XI, 151 p. 90 illus., 76 illus. in color.online resource.
1. Artificial Intelligence in Education -- 2. Discussion Data Analytics -- 3. Creative Meeting Support -- 4. Discussion Skills Evaluation and Training -- 5. Smart Learning Environments -- 6. Human-AI Symbiosis.
Focusing on students’ presentations and discussions in laboratory seminars, this book presents case studies on evidence-based education using artificial intelligence (AI) technologies. It proposes a system to help users complete research activities, and a machine-learning method that makes the system suitable for long-term operation by performing data mining for discussions and automatically extracting essential tasks. By illustrating the complete process – proposal, implementation, and operation – of applying machine learning techniques to real-world situations, the book will inspire researchers and professionals to develop innovative new applications for education. The book is divided into six chapters, the first of which provides an overview of AI research and practice in education. In turn, Chapter 2 describes a mechanism for applying data analytics to student discussions and utilizing the results for knowledge creation activities such as research. Based on discussion data analytics, Chapter 3 describes a creative activity support system that effectively utilizes the analytical results of the discussion for subsequent activities. Chapter 4 discusses the incorporation of a gamification method to evaluate and improve discussion skills while maintaining the motivation to participate in the discussion. Chapters 5 and 6 describe an advanced learning environment for honing students’ discussion and presentation skills. Two important systems proposed here are a presentation training system using virtual reality technologies, and an interactive presentation/discussion training system using a humanoid robot. In the former, the virtual space is constructed by measuring the three-dimensional shape of the actual auditorium, presentations are performed in the same way as in the real world, and the AI as audience automatically evaluates the presentation and provides feedback. In the latter, a humanoid robot makes some remarks on and asks questions about students’ presentations, and the students practice responding to it.
ISBN: 9789811361753
Standard No.: 10.1007/978-981-13-6175-3doiSubjects--Topical Terms:
1253610
Education—Data processing.
LC Class. No.: LB1028.43-1028.75
Dewey Class. No.: 374.26
Artificial Intelligence Accelerates Human Learning = Discussion Data Analytics /
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Focusing on students’ presentations and discussions in laboratory seminars, this book presents case studies on evidence-based education using artificial intelligence (AI) technologies. It proposes a system to help users complete research activities, and a machine-learning method that makes the system suitable for long-term operation by performing data mining for discussions and automatically extracting essential tasks. By illustrating the complete process – proposal, implementation, and operation – of applying machine learning techniques to real-world situations, the book will inspire researchers and professionals to develop innovative new applications for education. The book is divided into six chapters, the first of which provides an overview of AI research and practice in education. In turn, Chapter 2 describes a mechanism for applying data analytics to student discussions and utilizing the results for knowledge creation activities such as research. Based on discussion data analytics, Chapter 3 describes a creative activity support system that effectively utilizes the analytical results of the discussion for subsequent activities. Chapter 4 discusses the incorporation of a gamification method to evaluate and improve discussion skills while maintaining the motivation to participate in the discussion. Chapters 5 and 6 describe an advanced learning environment for honing students’ discussion and presentation skills. Two important systems proposed here are a presentation training system using virtual reality technologies, and an interactive presentation/discussion training system using a humanoid robot. In the former, the virtual space is constructed by measuring the three-dimensional shape of the actual auditorium, presentations are performed in the same way as in the real world, and the AI as audience automatically evaluates the presentation and provides feedback. In the latter, a humanoid robot makes some remarks on and asks questions about students’ presentations, and the students practice responding to it.
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