Developing Hands-on Virtual Reality Science Laboratory Experiences

2019 - 2024

This project addresses our nation's urgent need for an agile and diverse science and technology workforce by innovating cost-effective and scalable hands-on chemistry and biochemistry laboratory training using virtual reality (VR) and mixed reality (MR) educational technologies. Learning is optimized when theory and practice are seamlessly integrated and when multiple senses (sight, sound, and touch) reinforce each other to promote long-term knowledge retention.

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SCC-IRG Track 1: Qoyangnuptu: Smart, Connected, and Culturally-centered System to Support the Well-being of Hopi/Tewa Youth

2022 - 2026

Across the nation, behavioral health concerns for youth are on the rise. In this context, American Indian and Alaska Native (AIAN) youth experience behavioral health disparities at some of the highest rates in the United States. Even as behavioral health services are becoming more available through mobile health and telehealth interventions, the lack of ubiquitous, high-speed Internet connectivity in rural tribal communities prevents many AIAN youths from accessing these critical services.

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Bolstering STEM Pathways for Students in Rural New England Through a Comprehensive, Multi-Year Learning Community

2022 - 2026
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This project addresses access to STEM educational experiences for rural students. Students from rural areas and small towns make up about 30% of the U.S. secondary school population but often lack inspirational STEM educational opportunities and experiences. This makes them less likely to pursue STEM majors in college, which is a potential loss of human talent in STEM innovation.

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Integrating AI Machine Learning into the Teaching of Paleontology Using Fossil Shark Teeth in Middle Schools

2022 - 2025

 

Sharks have ruled the Earth’s oceans for 400 million years, leaving behind a widespread fossil record. Inspired by the extinct 65-foot-long predator Megalodon, fossil shark teeth can spark student interest and curiosity in STEM (Science, Technology, Engineering, and Mathematics). Machine Learning (ML), a branch of Artificial Intelligence (AI), is used in a variety of fields today and is broadly applicable for developing predictive models that drive research and development.

 

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Promoting learning and interest in mathematics for urban Black and Latinx children through culturally relevant daily robot coding activities

2022 - 2026

This Developing and Testing Innovations project will advance efforts of the Innovative Technology Experiences for Students and Teachers (ITEST) program to better understand and promote practices that increase students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers. Specifically, the project will increase the interest and improve achievement in mathematics of New York City Black and Latinx students in 1st - 3rd grades.

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Integrating AI Learning into Middle School Science through Natural Language Processing

2022 - 2025

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.

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Engaging Rural Students in Artificial Intelligence to Develop Pathways for Innovative Computing Careers

2022 - 2025

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.

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A Model Program to Engage Students in Authentic, Technology-Infused Coastal Research and Monitoring: Building Student Data Literacy and Career Competency through Partnership

2022 - 2026

The project will introduce and investigate an innovative model for using authentic community-relevant research to deepen students' STEM knowledge and skills, while building strong community connections between Maine's coastal school districts and their communities. The project will involve teachers and administrators, STEM and STEM education faculty, and business leaders and other community members in a research practice partnership.

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Co-Robots to Enhance Motivation and Self-efficacy in Formal STEM Education

2021 - 2024

Rehabilitation and assistive robots are becoming more prevalent as the population is aging. Healthcare technologies are rapidly evolving and becoming increasingly high-tech and reliant on sensors for biological data collection and human-robot interactions to augment human capabilities. Not only is the field changing, but the demand for a highly skilled workforce is growing rapidly.

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Preparing Secondary Teachers and Students for Quantum Information Science

2021 - 2024

Quantum information science (QIS) is imperative to economic and national security, commerce, and technology.  Development of a "quantum smart" workforce needs to begin before college. The logical venue for exposure to quantum might be a physics course, but numerous K-12 students attend schools where physics is not offered. Since most students will not major in physics, it is vital to expose K-12 students to quantum concepts that are relevant to everyday experiences with credit card security, phones, computers, and basic technology.

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