The ExploreSTEM Summer Camps 2023 were designed to deliver inclusive STEM education to students aged 14 to 22 years with disabilities. This paper presents a thorough examination of the 2023 camp program, emphasizing the pivotal role of inclusive STEM education in potentially shaping students' personal and academic trajectories. The curriculum encompassed four weeklong fundamental STEM domains: Internet of Things (IoT), Computational Engineering, Artificial Intelligence (AI), and Augmented and Virtual Reality (AR/VR). Within Camp 1, students actively engaged with Dash robots, employing dedicated programming environments to command actions and gather sensor data, fostering interactions with the IoT platform and facilitating seamless data transmission. Camp 2 was dedicated to acquainting students with foundational computational engineering principles, establishing a robust framework for comprehending intricate engineering concepts. Camp 3 commenced with insightful presentations elucidating AI applications across multifaceted industries, including engineering, healthcare, and education, illuminating AI's pervasive influence on contemporary society. The primary aim of Camp 4 was to introduce students to the immersive domains of AR and VR, showcasing their applications beyond conventional STEM disciplines into everyday life experiences. The amalgamation of informative presentations, interactive activities, and a nurturing learning environment cultivated an engaging and enriching experience for all participants. By embracing inclusivity and harnessing innovative pedagogical approaches, the ExploreSTEM Summer Camps empowered students to explore, innovate, and excel within the dynamic realm of STEM education.
https://arxiv.org/pdf/2409.12251

This paper presents a novel framework called Teacher-Guided Collaborative Dialogue Generation (TGCDG) that enables robots to assist in classroom instruction by engaging students through natural, context-aware dialogue. While the study does not focus specifically on IDD, its approach has strong implications for inclusive education. The TGCDG framework is designed to adaptively generate educational dialogues that align with teacher intent and classroom dynamics, using large language models guided by teacher feedback. Such a system can be tailored to support students with IDD by offering personalized, simplified explanations, repetition, and multimodal cues, which are essential accommodations in special education. Robots equipped with TGCDG can also reduce social anxiety and enhance focus for students with developmental disabilities by delivering instructions in a consistent, non-judgmental, and interactive manner. The framework’s ability to include scaffolding strategies and teacher-directed interventions makes it a valuable tool for creating supportive, differentiated learning environments where students with IDD can participate more fully in collaborative, dialogic learning activities .