This three-year project address the ongoing marginalization of Indigenous communities in informal science learning spaces by developing and studying a model that strengthens rightful presence: the idea that visitors will experience a sense of belonging and respect. 

This project responds to the growing recognition that learners of all ages should have the opportunity to engage with and learn about artificial intelligence (AI). Of AI's many subfields, natural language processing (NLP) is one of the fastest growing. NLP focuses on how to automatically understand spoken or textual data, and billions of these textual or spoken exchanges are recorded online every day.

Exciting young children's interest in science, technology, engineering, and mathematics (STEM) is an essential way to attract more students to STEM course work and STEM careers. This project will use a variety of tools to engage four- to eight-year-old children and their families. First, the project will create a five-episode STEM media series for the Public Broadcasting System. The series will include diverse STEM professionals, including astronauts and engineers, reading STEM picture books from space, Earth, and sea.

Advances in artificial intelligence (AI) are fundamentally reshaping the workplace of the future and accelerating the demand for creating and sustaining an AI-literate workforce. This growing demand has highlighted the importance for all K-12 students to develop an understanding of AI to prepare them for future careers. Middle school years are crucial in shaping youth dispositions toward STEM.

This project will host a workshop in order to identify and synthesize research findings from NSF awards that addressed the unanticipated effects of the COVID-19 pandemic on STEM teaching and learning. The interruptions from the pandemic had dramatic, widespread effects in education. Across the nation, teachers, students, parents, staff, and school administrators experienced extended school closures and a rapid and unexpected shift to virtual instruction.

The project will develop and research an after-school program that is designed to increase the STEM career interests and motivations of Native American middle-school students.  Students will use digital technologies, including virtual reality (VR), augmented reality (AR), and 3D printing, to solve spatial design problems presented through the project’s culturally responsive, problem-based learning education modules.

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.