Project Grant 2241787

Award Date 3/1/23
Completion Date 2/28/27
Dollars Obligated $298K
Federal Grant Program
47.076
Assistance Type
Project Grant
Place of Performance
Rochester, NY 14623, USA
Similar Awards
This $667,156 Project Grant from the National Science Foundation's Division of Research on Learning in Formal and Informal Settings will fund the development of a Data Sensing Learning Environment (DASLET) to advance middle school students' computational thinking skills and engagement with STEM careers in the construction industry. Under the NSF's STEM Education program (CFDA #47.076), which supports the development of the Nation's STEM education enterprise, Texas A&M University will...
This $334,245 Project Grant from the National Science Foundation's Division of Research on Learning in Formal and Informal Settings will support the development of a Data Sensing Learning Environment (DASLET) at Virginia Polytechnic Institute & State University. DASLET aims to enhance middle school students' computational thinking skills and engagement with science, technology, engineering, and mathematics careers related to the construction industry through embodied interaction with data...
The National Science Foundation awarded $295,563 under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to the University of Rochester. This two-year Project Grant will support the development of a novel programming-free and visual-based machine learning environment to enable high school students and teachers with limited data skills to discover complex scientific phenomena through pattern analysis of real-world data. Key activities include creating the...
This Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) will provide $1,762,686 to the Rochester Institute of Technology (RIT) from July 2024 to June 2029 to collaboratively develop and disseminate a platform of hosted, experiential computing education labs focused on inclusivity and accessibility. The project aims to expand the body of knowledge on experiential and inclusive approaches to computing education, while providing students across various...
This $348,706 Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) aims to develop and implement a curricular program for middle-school students in community-based settings. The program will focus on building data visualization skills to help students become critical consumers and interpreters of data. The research goals are to provide empirical evidence of middle school students building data visualization practices through learning technologies and to...
This $160,000 National Science Foundation project grant supports the development of an immersive virtual reality-based learning environment at Virginia Polytechnic Institute and State University to advance construction robotics education. Funded under the NSF's STEM Education program (CFDA 47.076), the three-year project aims to investigate how such an environment can cultivate students' experiential skills for safely interacting with robots in the construction industry. Specifically,...
The National Science Foundation Division of Research on Learning in Formal and Informal Settings awarded Northern Illinois University a $642,621 project grant to support the development of mixed reality technology to advance early learning of computational thinking skills. The grant was awarded on September 1, 2021 under the federal STEM Education program (CFDA 47.076) and will support work through August 31, 2024. The NSF's STEM Education program aims to ensure the vitality of the nation's...
This $162,814 project grant from the National Science Foundation's STEM Education program (CFDA 47.076) supports the development of conceptual models to improve student learning outcomes in computer science theory courses at the University of Rochester from July 2022 through June 2025. The award aims to study the impact of teaching students to create their own conceptual models of theoretical computing concepts. Researchers will analyze qualitative and quantitative data from student surveys,...
The Rochester Institute of Technology was awarded a $671,070 project grant from the National Science Foundation under the federal STEM Education program (CFDA 47.076) to develop online laboratories for computer science students. The three-year grant, awarded October 1, 2021 and set to be completed by September 30, 2024, will support the collaborative research project titled "Developing Online Laboratories for Computer Science Students to Learn How to Build Accessible Software and to Use...
The University of Rochester received a $732,923 National Science Foundation Project Grant under the STEM Education (formerly Education and Human Resources) federal grant program (CFDA 47.076) to develop embodied learning technologies for K-12 machine learning education. The five-year project beginning July 2023 aims to provide hands-on, collaborative learning experiences using 3D and tangible interaction technologies to help students understand abstract machine learning concepts. A pedagogical...

This $298,351 project grant from the National Science Foundation's Division of Research on Learning in Formal and Informal Settings, under the STEM Education program (CFDA 47.076), will fund the development of a data sensing learning environment called DASLET to enhance middle school students' computational thinking skills. Over the four-year period from March 1, 2023 to February 28, 2027, the Rochester Institute of Technology will create an immersive virtual reality environment allowing approximately 40 teachers and 120 students tangible interactions with data sensing technologies. This aims to equip students with skills for addressing construction industry challenges and improve engagement with STEM careers in the built environment. Specifically, students will learn to work safely with sensors, translate sensor data into computational rules to extract meaningful information for decision-making on virtual construction sites. The grantee will develop curriculum and teacher strategies, then evaluate the program's impact on students' computational abilities, engagement with data sensing, and interest in STEM/construction fields.

Generated 1/7/24, 1:07 AM