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Puffins: Exploring how narrative, data science, and artificial intelligence enhance the study of ecology in middle school

2023 - 2025
The study of puffins can provide a fascinating subject area for the integrated learning of data and ecosystems. Once hunted to local extinction, puffins have made a dramatic yet fragile comeback and been re-established to historic nesting islands in mid-coast Maine. This project combines a
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Embodied Interactive Environment for Advancing Data Sensing and Computational Thinking Skills in the Built Environment

2023 - 2027
As the construction industry gears toward adopting data sensing technologies, there is a demand for creating and sustaining a workforce with skills for implementing the technologies and analyzing the resulting data to support decision-making. It is also essential to improve awareness of this Science
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Employing Peer Mentoring to Empower Youth to Become 21st Century Energy Leaders

2022 - 2025

Cities and states, clean energy businesses, labor organizations and engaged citizens are increasingly addressing climate change by exploring how to transition to renewable energy. Those who do the least to cause climate change are often the most vulnerable to its impacts, so it is important to

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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

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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

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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

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STEM Tales: Investigating the effect of media read-alouds on young children's STEM and literacy learning and interest in STEM careers

2022 - 2024

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

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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

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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

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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

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This material is based upon work supported by the National Science Foundation under Grant Nos. DRL-1312022, 1614697 and 1949200. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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