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This chapter explores the transformative potential of hands-on robotics projects in educational settings, emphasizing their role in cultivating critical thinking, problem-solving, and interdisciplinary learning. Drawing on foundational pedagogical frameworks such as constructivism, project-based learning, and design thinking, the chapter presents a structured approach to integrating robotics into STEM curricula. It outlines a progressive roadmap of project complexity, ranging from basic programming with Micro:BIT to advanced applications involving ROS, AI, and SLAM, while aligning tools and learning outcomes across cognitive domains. Case studies from global research are analyzed to extract insights on student engagement, tool efficacy, and common challenges, providing educators with comparative perspectives. The chapter also discusses how robotics serves as a bridge across disciplines like coding, electronics, mathematics, and engineering, fostering both technical proficiency and collaborative skills. Key barriers such as resource limitations and instructional gaps are critically examined, alongside strategies for scalable implementation. Ultimately, the chapter offers a practical, evidence based guide for educators and curriculum designers aiming to harness robotics as a catalyst for deeper learning and 21st century skill development. Readers will gain actionable insights and a research-backed framework to design impactful robotics learning experiences for learners at various levels.

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Robotics and Artificial Intelligence: Autonomous Learning in Education

  • 章节

  • 发表日期：

    2026年

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  • Norashikin M. Thamrin,
  • Addie Irawan,
  • Zurita Zulkifli,
  • Syed Abdul Mutalib Al Junid,
  • Megat Syahirul Amin Megat Ali,
  • Anwar P. P. Abdul Majeed

摘要

This chapter explores the transformative potential of hands-on robotics projects in educational settings, emphasizing their role in cultivating critical thinking, problem-solving, and interdisciplinary learning. Drawing on foundational pedagogical frameworks such as constructivism, project-based learning, and design thinking, the chapter presents a structured approach to integrating robotics into STEM curricula. It outlines a progressive roadmap of project complexity, ranging from basic programming with Micro:BIT to advanced applications involving ROS, AI, and SLAM, while aligning tools and learning outcomes across cognitive domains. Case studies from global research are analyzed to extract insights on student engagement, tool efficacy, and common challenges, providing educators with comparative perspectives. The chapter also discusses how robotics serves as a bridge across disciplines like coding, electronics, mathematics, and engineering, fostering both technical proficiency and collaborative skills. Key barriers such as resource limitations and instructional gaps are critically examined, alongside strategies for scalable implementation. Ultimately, the chapter offers a practical, evidence based guide for educators and curriculum designers aiming to harness robotics as a catalyst for deeper learning and 21st century skill development. Readers will gain actionable insights and a research-backed framework to design impactful robotics learning experiences for learners at various levels.