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Using drone technology, communal motivation, and strength-based approaches to engage middle school female students from rural areas in STEM
Bolstering STEM Pathways for Students in Rural New England Through a Comprehensive, Multi-Year Learning Community
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
SCC-IRG Track 1: Qoyangnuptu: Smart, Connected, and Culturally-centered System to Support the Well-being of Hopi/Tewa Youth
Integrating AI Machine Learning into the Teaching of Paleontology Using Fossil Shark Teeth in Middle Schools
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
A Learning Ecosystem for Teaching High School Students Machine Learning Concepts and Data Science Skills in Healthcare and Medicine
Engaging African American Young Women in STEM and Entrepreneurship Through Community-Centered Making
The project will develop and research a model for engaging high-school-aged African American women from low-income families in STEM-related making and entrepreneurship educational programs. Making is a culture that emphasizes interest-driven learning by doing within an informal, peer-led, and creative social environment.
Seeing Science: Using Computer Vision to Explore the Scientific Principles Behind Everyday Objects
Understanding science is critical for preparing students to make sense of the world around them, make informed decisions, and participate in civic society and in the workforce. However, for many youth, science is a mysterious body of knowledge that feels disconnected from their lives. This project
Engaging Rural Students in Artificial Intelligence to Develop Pathways for Innovative Computing Careers
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
Enhancing Programming and Machine Learning Education for Students with Visual Impairments through the Use of Compilers, AI and Cloud Technologies
Attractive high-paying and highly flexible Computer Science careers should be more readily accessible for people with blindness or visual impairments (BVI). Unfortunately, teaching the required computer programming and data science skills to students with BVI is extremely challenging due to two
Engaging Blind, Visually Impaired, and Sighted Students in STEM with Storytelling through Podcasts
This project will broaden participation in STEM for blind and visually impaired (BVI) and sighted upper elementary students through engagement with podcast technology. BVI individuals are significantly underrepresented in the STEM workforce. Research has shown that BVI students face many obstacles