Innovative research initiatives exploring the intersection of artificial intelligence and education
Designing an accessible, scalable remote platform to support hands-on hardware security education. The platform integrates physical development boards with a user-friendly software interface, enabling students—from novice to advanced—to conduct real-time experiments remotely. The project aims to enhance cybersecurity education by bridging theoretical learning with applied, practice-based experiences and expanding opportunities for underrepresented learners.
Lead PI: Dr. Robert Karam (USF)
Co-PIs: Dr. Ilene Berson (USF), Dr. Michael Berson (USF)
Collaborators: Dr. Tamzidul Hoque (University of Kansas), Dr. Venkata Yanambaka (Texas Woman's University)
Agency: U.S. National Science Foundation (NSF)
Program: Secure and Trustworthy Cyberspace (SaTC) – Education Track
Award: $267,999
Grant #: NSF-2432708
University of South Florida (Lead Institution), University of Kansas Center for Research Inc., Texas Woman's University
This project supports home–school partnerships through inclusive, play-based historical inquiry in early childhood education. Grounded in wonder and guided by developmentally appropriate practice, the initiative curates community-based primary sources from the Library of Congress and the Tampa Bay History Center into interdisciplinary activity sets aligned with Florida's Early Learning and Developmental Standards. Innovative AI-powered tools are being piloted to extend children's creative engagement with cultural heritage.
PI: Dr. Ilene Berson (University of South Florida)
Co-PI: Dr. Michael Berson (University of South Florida)
Agency: Library of Congress
Program: Professional Learning & Outreach Initiatives
Award: $354,907
Grant Period: 2021–2025
Tampa Bay History Center, Early Learning Coalitions of Hillsborough, Pinellas, Pasco, and Hernando Counties, Tampa Bay Preschool Centers
Co-PI: Dr. Michael Berson (University of South Florida)
Advisor: Dr. Ilene Berson (University of South Florida)
Funding Agency: U.S. National Science Foundation (NSF)
Program: Discovery Research PreK–12 (DRK-12)
Award Amount: $2,990,460 | Grant Number: NSF-2010256
This project developed and evaluated an interdisciplinary model for integrating computer science into rural middle school classrooms. By fostering collaboration among teachers across subjects and providing targeted professional development, the initiative aimed to build local capacity, increase access to computer science education, and support sustainable implementation in under-resourced rural communities.
Collaboration: CodeVA, TERC, and Virginia Rural Middle Schools
PI: Dr. Ilene Berson (University of South Florida)
Co-PI: Dr. Michael Berson (University of South Florida)
Funding Agency: University of South Florida
Program: Nexus Faculty Global Collaboration Initiative
Award Amount: $10,500
This project examined how tangible coding technologies (TCTs) can serve as foundational platforms for introducing AI-related thinking in early childhood education across diverse international contexts. Through play-based inquiry, young children engaged with early concepts such as sequencing, logic, and debugging—core elements of computational thinking that support emerging understandings of AI systems.
Collaboration: USF Preschool for Creative Learning
PI: Dr. Ilene Berson (University of South Florida)
Co-PI: Dr. Michael Berson (University of South Florida)
Funding Agency: University of South Florida
Program: College of Education Seed Funding
Award Amount: $25,589
This seed-funded study laid the groundwork for integrating AI-aligned learning tools into early childhood classrooms. Using programmable robots, the project investigated how young children engage in foundational computational tasks that mirror essential AI concepts, including pattern recognition, decision-making, and adaptive behavior. The research also focused on supporting early childhood educators in designing inquiry-based experiences with digital tools that nurture persistence, creativity, and symbolic reasoning—key dispositions for future engagement with AI and emerging technologies in education.