SIASUN(SZ:300024) 3 6 Ke·2025-10-23 03:19Core Insights - Over the past decade, educational robots have evolved from novelty items in classrooms to essential components of educational systems, impacting various areas such as programming education, STEM labs, vocational training, and special education [1][2][3] Group 1: Evolution of Educational Robots - In 2015, educational robots were primarily used as teaching aids, with only 13 academic papers published on the topic, focusing on children's attention and basic skills [2] - By 2018, the number of publications surged to 64, driven by the proliferation of STEM education policies, decreasing hardware costs, and advancements in AI and voice recognition technologies [2] - From 2019 to 2021, research output increased to 225 papers, with a shift in focus from whether robots could aid learning to how they could collaborate with teachers and stimulate computational thinking [2][3] Group 2: System Integration Phase - Post-2022, educational robots have entered a phase of systemic integration, becoming part of human-machine collaborative teaching systems that can adapt to students' learning states and emotional responses [3] - The focus of research has shifted towards equity and sustainability, addressing how to implement low-cost robotic teaching solutions and evaluate the quality of learning post-technology integration [3] Group 3: Keyword Evolution - The evolution of keywords in educational robot research reflects a shift from "robotics" and "programming" (2015-2017) to "AI," "emotion," and "human-robot interaction" (2021-2024), indicating a transition from operational tools to cognitive partners in education [5][6] - This change highlights the growing importance of collaborative learning and emotional recognition in educational settings [5] Group 4: Contribution to Sustainable Development Goals (SDGs) - More than half of the 1120 papers reviewed directly correspond to UN SDG 4, emphasizing quality education through interactive and practical learning experiences [7] - Educational robots are also making strides in health and employment sectors, with applications in social training for children with autism and vocational education that enhances job readiness [7][8] - Initiatives like "cloud-based robot classrooms" aim to reduce educational inequality by providing rural students access to urban teaching resources [8] Group 5: Future Directions - Future research will focus on personalized and humanized learning experiences, where robots act as data assistants and collaborative partners for teachers [10] - Ethical considerations regarding algorithm fairness and privacy protection will become critical as robots are integrated into more educational contexts [10] Group 6: Conclusion - The next decade is expected to see educational robots transition from experimental tools to necessary components of educational systems, emphasizing their role in enhancing feedback mechanisms and structural organization within education [11][12]