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Artificial Intelligence Accelerates Human Learning - Discussion Data Analytics (Hardcover, 1st ed. 2019)
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Artificial Intelligence Accelerates Human Learning - Discussion Data Analytics (Hardcover, 1st ed. 2019)
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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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