The National Science Foundation (NSF) awarded a $832,449 Project Grant under the Computer and Information Science and Engineering (CISE) program to Cornell University. The grant, with a performance period of October 1, 2023 to September 30, 2027, will fund collaborative research to leverage conversational AI to cultivate constructive "upstander" behaviors among teens on social media to combat cyberbullying. The project aims to develop AI technologies, including ChatGPT-3 and AI...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program grant to Lehigh University, awarded on October 1, 2023 for $159,332.00, aims to develop a conversational AI system to guide adolescents on using social media to stand up against cyberbullying in a safe and effective manner. The project will first conduct empirical studies to identify successful strategies for collaborative upstanding, where teens encourage each other to confront bullies online....
The Pennsylvania State University received a $276,069 National Science Foundation Project Grant under the federal STEM Education program (CFDA 47.076) to develop an AI-based conversational agent called Social Media Co-Pilot. The goal is to use this tool to educate teens on responsible and ethical online conduct through personalized feedback and guidance within an interactive social media learning environment. Penn State will employ natural language processing techniques to design Co-Pilot to...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) Project Grant award of $200,000, effective July 1, 2024 through June 30, 2027, will fund research conducted by the University of Southern California (USC) to understand the evolution of hate language use in online communities. The project will analyze large social media datasets using advanced artificial intelligence (AI) techniques to identify factors influencing participation in...
This $199,503 Project Grant awarded by the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program will fund a large-scale, mixed-methods study to understand perceptions and use of artificial intelligence (AI) technologies in K-12 education. The one-year project will survey a nationally representative sample of parents, teachers, and youth to identify opportunities, risks, and supports needed for integrating AI-driven learning tools. The study will employ both...
Cornell University received a $470,975 Project Grant award from the National Science Foundation Division of Research on Learning in Formal and Informal Settings under the STEM Education (formerly Education and Human Resources) federal grant program (CFDA 47.076). The grant will fund the development of an AI-based conversational agent called Social Media Co-Pilot to enhance teens' digital literacy and cyber safety education. Cornell will employ natural language processing techniques to create a...
This Project Grant award of $1,156,140.00 was provided by the National Science Foundation (NSF) through the STEM Education program (CFDA 47.076) to the University of Pittsburgh. The project focuses on developing learner-co-created social robots to support middle school girls from historically underrepresented backgrounds in developing AI and computing skills. The project will carry out three design-based research iterations with a total of 140 girls in collaboration with two community...
This $268,428 EAGER grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The University of Colorado (CU) will lead a project to engage interdisciplinary groups of college students in creating educational artificial intelligence (AI) content for social media. The goal is to improve public understanding of AI by leveraging students' knowledge and communication skills. Key project activities...
This Project Grant award of $199,995 from the National Science Foundation's STEM Education program (CFDA 47.076) aims to develop a framework and computational tools to understand how students and teachers are engaging with generative AI tools such as ChatGPT in K-12 education. The key objectives are to collect social media data to identify topics, trends, and insights on the enthusiasm, concerns, and responsible/ethical use of AI tools by both students and teachers. The data analysis will...
The National Science Foundation (NSF) awarded a $199,994 Project Grant through the STEM Education (CFDA 47.076) program to The Leland Stanford Junior University to explore how high school youth, particularly those from historically marginalized communities, interact with and learn about generative AI and machine learning tools. Over a one-year period, the researchers will pilot classroom and extracurricular activities, collect quantitative and qualitative data, and analyze findings to develop...