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Can I read Artificial Intelligence in STEM Education : The Paradigmatic Shifts in Research, Education, and Technology on EtoBox?

Artificial Intelligence in STEM Education : The Paradigmatic Shifts in Research, Education, and Technology by Fan Ouyang; Pengcheng Jiao; Bruce M. McLaren; Amir H. Alavi is a nonfiction available to read on EtoBox.

What is Artificial Intelligence in STEM Education : The Paradigmatic Shifts in Research, Education, and Technology about?

Artificial intelligence (AI) opens new opportunities for STEM education in K-12, higher education, and professional education contexts. This book summarizes AI in education (AIED) with a particular focus on the research, practice, and technological paradigmatic shifts of AIED in recent years. The 23 chapters in this edited collection track the paradigmatic shifts of AIED in STEM education, discussing how and why the paradigms have shifted, explaining how and in what ways AI techniques have ensured the shifts, and envisioning what directions next-generation AIED is heading in the new era. As a whole, the book illuminates the main paradigms of AI in STEM education, summarizes the AI-enhanced techniques and applications used to enable the paradigms, and discusses AI-enhanced teaching, learning, and design in STEM education. It provides an adapted educational policy so that practitioners can better facilitate the application of AI in STEM education. This book is a must-read for researchers, educators, students, designers, and engineers who are interested in the opportunities and challenges of AI in STEM education.

Who reads Artificial Intelligence in STEM Education : The Paradigmatic Shifts in Research, Education, and Technology?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Fan Ouyang; Pengcheng Jiao; Bruce M. McLaren; Amir H. Alavi
Publisher
CRC Press
Published
2022
Language
EN
ISBN
9781032019604
Category
nonfiction
Subjects
Mathematics, Engineering, Computer Science

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