Future Innovations and Evaluation Methods in Robotics Education
摘要
The integration of robotics with AI, VR, AR, and IoT has significantly transformed robotics education at all academic levels. These emerging technologies enhance engagement, personalise learning, and broaden access through immersive and adaptive instructional tools. Assessment methods have evolved to include data-driven and competency-based frameworks that evaluate technical, cognitive, and collaborative skills. Adaptive learning systems and real-time dashboards provide responsive feedback and support curriculum refinement. Longitudinal tracking demonstrates robotics education's impact on cognitive development and career readiness. The chapter further examines how robotics promotes inclusion, interdisciplinary learning, and equity in STEM pathways. Ongoing curriculum innovation, educator training, and industry university partnerships ensure sustained relevance. Globally, best practices highlight integrative pedagogy and blended learning strategies. Robotics education now stands as a cornerstone of future-proof, inclusive, and skills-driven education.