PRISM — Preparing EducatoRs to Infuse Statistics, Mathematics, and Artificial Intelligence into TK–12 STEM education — is a professional learning initiative designed to strengthen future and current educators’ data science and AI literacy.
The program supports preservice teachers, current clssroom teachers, and college faculty in learning how to thoughtfully integrate statistics, mathematics, and artificial intelligence into STEM classrooms.
PRISM is supported through funding from Google.org and is hosted by California State University, Fullerton.
Program Goals
The PRISM initiative aims to help educators:
Develop foundational knowledge of data science and artificial intelligence
Understand how AI technologies work and impact society
Explore ethical and responsible uses of AI in education
Design AI-integrated STEM learning activities
Collaborate with fellow educators and faculty mentors
Prepare students for a future shaped by data and AI technologies
The PRISM professional learning program includes six days of professional development across two phases:
A three-day in-person June workshop that introduces participants to:
Core concepts in statistics and data science
Foundations of artificial intelligence
Hands-on activities for classroom use
Strategies for teaching AI concepts in STEM subjects
Three follow-up clinics during the academic year where participants will:
Refine and develop AI-focused lesson plans
Share classroom experiences and teaching strategies
Collaborate with peers and faculty mentors
Receive guidance on integrating AI into curriculum
Who Should Participate
PRISM is designed for:
Credentialed TK–12 classroom teachers
Pre-service teachers at CSUF
Teacher preparation faculty at CSUF
Participants will gain tools, resources, and collaborative support to help students better understand the role of data, statistics, and artificial intelligence in modern society.
Acknowledgments: This work is made possible through the generous support of Google.org, which provided a gift to California State University, Fullerton. The views and opinions expressed here are those of the authors and do not necessarily reflect those of Google.org.