Final Reflection:
Omni:
Despite the novelty of classroom robotics, the direction is clear: AI-driven robots are not a luxury, but an essential tool for inclusive learning. For learners with dyslexia, ADHD, and ASD, they offer something few educational models can provide, unwavering patience, repetition without judgment, and a neutral social presence. The value lies not in replacing educators, but in offering personalized, consistent, assistive support where traditional systems fall short. Still, inclusion must be intentional. Robots must be designed with empathy, accessibility, and neurodiversity in mind, not retrofitted for special needs as an afterthought. We must also critically examine the cultural and linguistic limitations of robotic systems: a robot trained in Western classrooms may not be suited for all bilingual environment. Lastly, while AI helps level the field, it also risks deepening divides if access is limited to well-funded schools. Moving forward, collaboration across developers, educators, and policymakers is crucial, not just to scale adoption, but to ensure that technology enhances human care, not replaces it.
Yinwen:
While robotics application in classroom is still a rather frontier topic with limited application as of now, studies have shown unique role and strong evidence of efficacy for robots' application to SEN learners. Robots improve engagement, communication, and emotional regulation in SEN learners Personalized learning via AI-driven adaptations (e.g., adjusting difficulty in real-time) addresses diverse needs. Rising autism diagnoses (1 in 36 children, CDC 2023) and government mandates (e.g., IDEA in the U.S., UK’s SEND reforms) drive adoption. Market is huge and still rising. EdTech investors are prioritizing assistive tech, with the educational robot market projected to hit $5.1B by 2030. High cost and funding remains critical challenges. We can promote leasing model and build up a community robot leasing system to effectively reduce the cost per usage. Government funding is requested. Training is required for SEN educators to properly use the robots. User data privacy issue remains a concern as robots can now save all the communication log with the vulnerable and provide accessibility to researchers, educators, supervisors etc. This stir up the ethical issue. Students may increase the reliance on robots and reduce the human interaction opportunity, which goes against the promotion of human interaction of autism kids for example. As for developers, focus on cost reduction and promote accessibility, while balance out long term ROI. For educators, human interaction /teaching is still required instead of fully rely on robots do the work. This posts higher requirement to SEN educators who requests training of frontier every-changing new EdTech while still need to lecture to balance out the reduction of social skill development.
References:
CDC. (2023). Autism Prevalence Increases to 1 in 36 Children.
Educational Research Review. (2021). Meta-Analysis on Robot-Assisted Learning for SEN.
Frontiers in Robotics and AI. (2022). Robot-Assisted Therapy for Autism.
Huijnen, C. et al. (2022). "How Social Robots Can Support Special Education: Teacher Perspectives on Engagement and Learning Outcomes." Frontiers in Robotics and AI, 9, 789402. [DOI: 10.3389/frobt.2022.789402]
Lee, L. H. (2024, October 3). Difficulties of ASD. In The University of Hong Kong School of Professional and Continuing Education. Lecture Notes 05.
Qin Yang, Huanghao Feng, Shengrong Gong (2023) Analyzing the potential of using social robots in autism classroom settings. https://www.shs-conferences.org/articles/shsconf/pdf/2023/23/shsconf_seaa2023_03023.pdf
Research and Markets. (2023). *Educational Robots Market Report 2023-2030*.
Ting, S. C. (2024, October 3). Assessment of ASD. In The University of Hong Kong School of Professional and Continuing Education. Lecture Notes 01.
U.S. Department of Education. (2023). IDEA Funding Allocation.