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Synthetic Intelligence in Education introduces the groundbreaking concept of synthetic intelligence, referring to a harmonious blend of human and artificial intelligence. Yufeng Qian explores how today's generative AI and future systems can create a progressive learning environment where human cognition and AI capabilities work together, fostering co-learning experiences that surpass the possibilities of previous technological eras.
Arriving at a critical moment, this volume addresses the urgent need for a fundamental shift in mindset, pedagogical vision, and professional practice. As AI becomes increasingly integrated into educational tools and practices, many educators and learners still rely on outdated methods and lack the frameworks to engage with AI meaningfully. Synthetic Intelligence in Education provides a clear and accessible roadmap for educators, researchers, and policymakers to navigate the evolving landscape of AI in education.
The book examines the theoretical foundations of synthetic intelligence, emphasizing the cognitive and pedagogical principles that support meaningful human–AI collaboration. Through practical examples and actionable strategies, it shows how synthetic intelligence can be applied across diverse educational contexts.
Yufeng Qian holds a doctoral degree in Educational Technology from Lehigh University in the United States. She is the lead faculty for the graduate programs in Educational Technology at Louisiana State University. Dr. Qian has published numerous articles and four books on 3D multi-user virtual environments for learning, computer simulations, technology leadership for innovation in higher education, and tech-enhanced educational research. Her research centers on artificial intelligence, prompt engineering, prompt literacy, and emerging technology and pedagogy, with a focus on their influence on educational practices and teacher development.
Chapter 1. Introduction: The Synthetic Dawn
Chapter 2. Human Intelligence and Artificial Intelligence
Chapter 3. In Search of a Learning Theory for Synthetic Intelligence
Chapter 4. A Dialogic Framework for Synthetic Intelligence
Chapter 5. Rethinking Learning Assessment in the AI Era
Chapter 6. Beyond the Horizon: “From Words to Worlds”