Book

Calculus remains one of the most challenging gatekeeper courses in STEM education, with high failure rates and persistent student disengagement. AI and GeoGebra for Calculus Learning offers a transformative solution by integrating cutting-edge Artificial Intelligence, dynamic visualization through GeoGebra, and Project-Based Learning (PjBL) to create engaging, personalized, and effective learning experiences. Authored by Torang Siregar, S.Pd., Gr., M.Pd. , this comprehensive guide bridges the gap between educational theory and classroom practice. It systematically explores how AI-powered tools—including intelligent tutoring systems, adaptive learning platforms, and generative AI like ChatGPT—can provide personalized feedback, scaffold conceptual understanding, and support independent learning. The book demonstrates how GeoGebra's dynamic visualization capabilities make abstract calculus concepts tangible, enabling students to explore limits, derivatives, integrals, and optimization through interactive simulations and real-time manipulation. Drawing on extensive research and practical classroom experience, this volume presents a complete framework for designing AI-based calculus learning media, from instructional design and media development to implementation and evaluation. It addresses the critical challenges of the AI era, including the homework-exam performance gap, synthetic fluency, and ethical considerations, while offering concrete strategies for fostering higher-order thinking skills. Whether you are a university lecturer, mathematics educator, instructional designer, or graduate student, this book equips you with the knowledge, tools, and inspiration to transform calculus instruction for the digital age. The future of mathematics education depends on our ability to harness technology thoughtfully—and this book shows you how.