Over 2.5 million children in the US are medically homebound. They are socially isolated, physically segregated, and current educational practices largely exclude them from their school communities. Telepresence robots have emerged as a possible means to support these children to return to their local schools, however, it is not yet understood how homebound children can effectively use these robots for optimal learning and social development experiences.

Students with Autism Spectrum Disorder (ASD) are less likely to start or graduate from a postsecondary educational training program than their peers. Additionally, they are routinely unemployed (or underemployed) as young adults. Consequently, there is an urgent need to create workforce development models that advance ASD students toward viable education and career paths. This project is a three-year project that will motivate and prepare high school students with ASD to enter postsecondary educational training programs and careers in geospatial and data science sectors.

This project will introduce young children to computational thinking, which involves breaking down complex problems into manageable pieces, identifying steps and sequences to solve the problem, and generalizing a solution to solve similar problems. Problem-solving skills are foundational and cut across science, technology, engineering, and mathematics (STEM) domains and disciplines. The project will research and develop an innovative mixed reality (MR) learning environment combining visual displays and a robot with programmable movement.

To compete in a continually changing and increasingly technology-focused career landscape, students will need a deep, conceptual, and applied understanding of science, technology, engineering, and mathematics (STEM). Yet, many students, especially students from underrepresented populations, perceive  STEM to be disconnected from their interests and career aspirations. New curricular approaches are needed, especially in mathematics, that increase students’ career interest and engagement in STEM, while also supporting the learning of rich and targeted STEM content.

This project will advance efforts to better understand and promote practices that broaden access to and interest in regionally relevant science, technology, engineering, and math (STEM) occupations for underrepresented youth in the state of Maine. This project will engage students in investigations of local marine ecosystems through the construction and revision of computational models of those systems.

The development of spatial orientation (SO) skills – the ability to identify the position of objects in space – is a strong predictor of math skills and later school success and academic achievement. However, even with the increasing evidence in the importance of SO skills for children, they are rarely included in kindergarten and primary school curriculum. This puts children at a severe learning disadvantage; children who lag behind their peers in school-entry mathematical skills are at high risk to continue to do so.

This project will advance efforts of the Innovative Technology Experiences for Students and Teachers (ITEST) program to better understand and promote practices that increase student motivations and capacities to pursue careers in fields of science, technology, engineering, or mathematics (STEM). For these students with visual impairments (VI), the possibility of a future in astronomy, or any science, technology, engineering, and mathematics (STEM) field, seems daunting.

This project will teach foundational computational thinking (CT) concepts to preschoolers by  creating a series of mobile apps to guide families through sequenced sets of videos and  hands-on activities.  To support families at home it would also develop a new library model to build librarians? computational thinking  content knowledge and self-efficacy so they can support parents? efforts with their children.

The scientific careers of the future increasingly require advanced understandings and applications of computer programming and mathematics. This project is designed to broaden participation in these career pathways and careers by iteratively developing and testing bilingual computer programming curricula in middle school mathematics classes attended primarily by multilingual Latinx students.

Artificial intelligence (AI) technology applied to images and video is transforming society with broad applications to many social and economic sectors. To develop a citizenry that will participate in this technological revolution, it is essential to develop learning experiences for K-12 learners on the foundations of AI literacy in order to adequately prepare the workforce of the future. Supporting the teaching of AI concepts in the K-12 curriculum requires integrating knowledge from multiple disciplines.