Author Description

<p>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.</p> <p>The 23 chapters in this edited collection track the paradigmatic shifts of AIED in STEM education, discussing <i>how</i> and <i>why</i> the paradigms have shifted, explaining <i>how</i> and <i>in what</i> ways AI techniques have ensured the shifts, and envisioning <i>what</i> 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.</p> <p>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.</p>