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Virtual Poster Session

Browse the 2022 NSF ITEST PI Meeting Posters.

Online Program

Everyday AI (EdAI) for Youth


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Everyday AI 2022 ITEST PI Meeting Poster
EdAI investigates how best to prepare teachers to implement the Developing AI Literacy (or DAILy) curriculum in regular school day classrooms. We seek to understand what supports and teaching practices are effective and necessary for middle school teachers to implement the curriculum and positively..

Everyday AI for Youth: Investigating Middle School Teacher Education, Classroom Implementation, and the Associated Student Learning Outcomes of an Innovative AI Curriculum

Award Number
2048746
Project Status
Expired
Principal Investigator(s)
Irene Lee

Baltimore Online Algebra for Students in Technology (BOAST) Poster


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Baltimore Online Algebra for Students in Technology
BOAST is an out-of-school time online engineering program to support Baltimore City high school students develop concrete goals of becoming engineers by supporting foundational math skills and math self-efficacy through hands-on design and application.

Baltimore Online Algebra for High School Students in Technology

Award Number
2005790
Project Status
Expired
Principal Investigator(s)
Michael Falk

Using AI to Focus Teacher-Student Troubleshooting in Classroom Robotics


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FACILITATE Logo
We are investigating a “convening AI” that brings together teachers and students to troubleshoot around machine-selected excerpts of student work-in-progress. Our initial domain is middle school virtual robot programming.

Using AI to Focus Teacher-Student Troubleshooting in Classroom Robotics

Award Number
2118883
Project Status
Active
Principal Investigator(s)
Ross Higashi

Connected Spaces: A Technological Framework for Fostering Collaboration by Linking Novice Makers with Mentors and Peers


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Student interacting with a mentor through a video screen while making
The Connected Spaces (C/S) (DRL #2048852) project is researching and developing a technological toolkit and design framework to connect youth makers with peers, mentors, and technical assistance. Makers tinker, design, create, and invent, often working with peers in makerspaces equipped with..

Connected Spaces: A Technological Framework for Fostering Collaboration by Linking Novice Makers with Mentors and Peers

Award Number
2048833
Project Status
Active
Principal Investigator(s)
Michael Tissenbaum

Role Models in Elementary Engineering Education (RMEE)


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Role Models in Elementary Engineering Education
The Role Models in Elementary Engineering Education has been studying the interactions between elementary students and outreach ambassadors (undergraduate engineering students) in informal outreach setting. The project used surveys, interviews and classroom video recordings to expand our..

Role Models in Elementary Engineering Education

Award Number
1657519, 1657509
Project Status
Expired
Principal Investigator(s)
Adam Maltese
Merredith Portsmore

World Smarts STEM Challenge


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US American students and teacher in the classroom interacting with students and teacher in Ghana during a virtual binational team meeting.
The World Smarts STEM Challenge is a virtual exchange that supports STEM (science, technology, engineering, and math) education in the United States and Ghana. Middle and high school students from Washington, DC, and senior secondary school students from across Ghana come together virtually to solve..

Exploring Key Predictors of STEM/ICT Career-related Outcomes Using the World Smarts STEM Challenge Model that Incorporates Global Engagement and Mentorship

Award Number
2048417
Project Status
Expired
Principal Investigator(s)
Sarah Bever

Synthesis: Impact of integrating innovative technologies in STEM classrooms on K-12 students' STEM career outcomes


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Cover Page for ITEST Synthesis Project: Impact of Impact of integrating innovative technologies in STEM classrooms on K-12 students' STEM career outcomes, by the Discovery Center of Evaluation, Research, and Professional Learning, Miami University, Oxford, Ohio
This Synthesis project uses meta-analysis and qualitative synthesis to examine the effects of integrating innovative technologies into K-12 STEM education on students’ STEM career-related outcomes, and if and in what ways intervention characteristics and educational settings moderate these effects..

Synthesis: Impact of integrating innovative technologies in STEM classrooms on K-12 students' STEM career outcomes

Award Number
1949437
Project Status
Expired
Principal Investigator(s)
Yue Li

Pathways to Science/Caminos a la Ciencia


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Pathways to Science 2022
A project designed to identify strategies to recruit, train, and retain Latinas into post-graduate education, STEM majors, and STEM careers.

Caminos a la Ciencia/Pathways to Science: A Program Designed to Recruit, Retain, and Develop Latinas in STEM Disciplines

Award Number
1850405
Project Status
Expired
Principal Investigator(s)
April Marchetti

Covid-Inspired Data Science Education through Epidemiology


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Data Detectives clubs logo
The ongoing COVID-19 pandemic provides a starting point for empowering young people to understand uses of data science through epidemiology. Through this program, 650 plus underserved youth nationwide have engaged in a 20-hour out-of-school multimedia "Data Detectives Clubs" centered on a project..

COVID-Inspired Data Science Education through Epidemiology

Award Number
2048463
Project Status
Expired
Principal Investigator(s)
Janice Mokros

Data Science Learning Experiences for Middle School-aged Girls in Informal Gaming Clubs


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Concept art for the project's Isles of Ilkmaar data science game
Our project aims to promote middle school-aged girls' data science learning and interests through informal gameplay. We are designing a data-rich, multiplayer virtual world to support players in working with their own gameplay data as a resource for pursuing personally meaningful goals.

Data Science Learning Experiences for Middle School-aged Girls in Informal Gaming Clubs

Award Number
2214516
Project Status
Active
Principal Investigator(s)
Lisa Hardy

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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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