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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Integrating Artificial Intelligence with Smart Engineering and English Language Arts in Upper Elementary Education

2021 - 2024

This project will develop upper elementary school students’ abilities to work with Artificial intelligence (AI) in future careers. AI will be a critical tool for influencing and increasing productivity in the future of work. As such, it is increasingly important to introduce K-12 students to basic AI knowledge and skills, build familiarity with AI technologies, and train students to be competitive in the workforce. Through this project, a team of robotics and education researchers at Tufts University in Massachusetts and Maryville University in St.

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A Workshop to Synthesize Findings from Education Research Conducted During the Pandemic: Emerging Lessons From COVID-19

2021 - 2022

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.

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Robot-Mediated Learning: Exploring School-Deployed Collaborative Robots for Homebound Children

2020 - 2023
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a child tele-operating a robot and walking with friends

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.

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Engaging Native American Students in STEM Career Development Through a Culturally-Responsive After-School Program Using Virtual Environments and 3-D Printing

2021 - 2025

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.

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Supporting Early Learning of Computational Thinking Using Mixed Reality Technology

2021 - 2024

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.

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Innovative Science, Technology Engineering, and Mathematics Work Force Development Project

2020 - 2023

The Morehouse College's Innovative Science, Technology, Engineering, and Mathematics Work Force Development Project will engage minority male students in an active, inclusive learning community to enhance their interest in science and mathematics education and careers. The objective of the project is to shift from passive learning to active learning within the context of real-life problem-solving scenarios in order to promote academic success in middle school and high school and prepare students academically to attend a college or university.

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An Embodied, Augmented Reality Coding Platform for Pair Programming

2020 - 2023

Augmented reality (AR) allows the real world to be enhanced, or augmented, by computer-generated objects that are “added” to the real world. For example, a clothing store may use AR to allow a customer to “see” how clothes would look on them before they are purchased. This project at University of California San Diego will use AR to create an environment in which students can practice pair programming in an AR environment. Pair programming is a software development technique in which two programmers work together at one workstation, on the same piece of code.

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