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Virtual Poster Session

Browse the 2022 NSF ITEST PI Meeting Posters.

Online Program

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


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NHAS logo
The New Hampshire Academy of Science ITEST grant began Sept. 1, 2022 and will enable wrap-around programming to provide underrepresented students in underserved rural communities with scientific research experiences along with mentorship and college prep throughout high school, starting at each..

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

Award Number
2148345
Project Status
Active
Principal Investigator(s)
Markus Testorf

Teachers and Researchers Advancing Integrated Lessons in STEM


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TRAILS 2.0
Project Overview: The TRAILS 2.0 SEI will expand, scale, and innovate a tested model of integrative STEM instruction and teacher professional development to enhance rural students’ STEM learning while generating interest in STEM careers. To reach underserved and underrepresented rural populations..

Teachers and Researchers Advancing Integrated Lessons in STEM

Award Number
2148782, 2148781
Project Status
Active
Principal Investigator(s)
Pauline W.U. Chinn
Todd Kelley

Enhancing Programming and Machine Learning Education for Students with Visual Impairments through the Use of Compilers, AI and Cloud Technologies


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JuypterVox Project Poster
Our goal is to provide a cloud-based programming environment for students with blindness and visual impairments (BVI) to learning computer programming and machine learning. This programming environment includes a novel screen reader that can read programming statements in more comprehensible styles..

Enhancing Programming and Machine Learning Education for Students with Visual Impairments through the Use of Compilers, AI and Cloud Technologies

Award Number
2202632
Project Status
Active
Principal Investigator(s)
Wei Wang

Integrating Computational Thinking and Creative Scientific Problem Solving


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ComputerCraft programming with an editor and Lua code showing
The goal of this project is to investigate best ways to prepare the youth to confront future science and engineering problems. A team of educational researchers, science teachers, and scientists investigate the design of educational digital environments to promote engagement, interest, and learning..

Cultivating Creativity to Integrate Computation and Science Problem Solving in Informal Learning

Award Number
1934087
Project Status
Expired
Principal Investigator(s)
H Chad Lane

Preparing Secondary Teachers and Students for Quantum Information Science


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QuantumforAll
This project provides opportunities for high school teachers to learn how to integrate QIS into their STEM classrooms. Educators attend professional development and then teach what they have learned to students at STEM camps. The learn and practice approach will hopefully allow teachers to be more..

Preparing Secondary Teachers and Students for Quantum Information Science

Award Number
2048691
Project Status
Expired
Principal Investigator(s)
Karen Matsler

Seeding the Future of STEM researchers through emerging agricultural technologies


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Students making transparent soil
This one page summary presents the work over the past year as we have transitioned from home-based instructional settings back to in-person and hybrid-settings in the context of engaging our partner youth in learnign about coding, transparent soil, and novel technologies.

Seeding the Future of STEM researchers through emerging agricultural technologies

Award Number
1759152
Project Status
Expired
Principal Investigator(s)
Mike Barnett

Middle School Teachers' and Students' Experiences with Artificial Intelligence via Computational Cameras


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ImageSTEAM logo
ImageSTEAM is a National Science Foundation (NSF) funded program designed to help introduce AI and computer vision concepts to middle school students through the development of innovative learning activities in visual media. Our focus is on encouraging students to pursue careers and interests in..

Middle School Teacher and Student's Experiences with Artificial Intelligence via Computational Cameras

Award Number
1949493, 1949384
Project Status
Expired
Principal Investigator(s)
Ramana Pidaparti
Suren Jayasuriya

Integrating Computational Science with Environmental Sciences Associated with Habitat Restoration and Education in New York Harbor, CCERS Phase III


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student on boat
This project aims to advance science-based STEM+C education and teacher training models with the addition of location-based curriculum for teachers and students in computer science topics and STEM+C career exploration.

Integrating Computational Science with Environmental Sciences Associated with Habitat Restoration and Education in New York Harbor

Award Number
1839656
Project Status
Active
Principal Investigator(s)
Lauren Birney

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


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Hexagonal robot head with two antennae and blue glasses shaped like a game control over, over AI written in black and PLAY written in blue
The AI Play project is investigating how to introduce AI concepts via digital game design activities to middle grades students and teachers through workshops, camps, and school-based programs in rural communities of North Carolina.

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

Award Number
2148680
Project Status
Active
Principal Investigator(s)
Bradford Mott

The Climate Empowerment Learning Initiative


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A CELI climate science class at Cesar Chavez Middle School
CELI uses a networked improvement community (NIC) approach to school-wide transformation, teacher, agency, and minoritized students’ climate science and belonging in two low-income public schools (a middle school and a high school) receiving all of the District’s new-immigrant students in Hayward..

A Networked Improvement Community Approach to School-wide Transformation, Teacher Agency, and Minoritized Students’ Climate Science Learning and Belonging

Award Number
2049130
Project Status
Active
Principal Investigator(s)
Karina Garbesi

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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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