As AI reshapes science, technology, engineering, and mathematics (STEM) education, educators design programs that cultivate critical thinking and competence. Through AI-based STEM programs, learners can engage with intelligent systems, solve complex problems, and develop reasoning skills. Examining real-world implementations highlights the strategies, challenges, and outcomes associated with integrating AI tools into curricula, emphasizing how students think. Such analyses may further reveal how AI can foster deeper inquiry, creativity, and informed decision-making in the next generation of STEM learners. Cases on Fostering Critical Thinking and Competence in AI-Based STEM Programs explores how AI-driven technologies enhance teaching and learning processes, improve student engagement, and foster critical thinking and creativity. It examines the benefits of AI in educational contexts, practical applications for learning processes and administration support, and ethical considerations. This book covers topics such as instructional design, mathematical thinking, and algorithms, and is a useful resource for educators, engineers, academicians, researchers, and scientists.
