CEISMC and STEM@GTRI launched an innovative Computer Science for Rural Georgia High Schools Pilot Program. Through this project, participating rural high schools in Georgia have access to computer science modules based on unique programs/resources at Georgia Tech, developed and led by Georgia Tech faculty. This pioneering initiative aims to bridge the digital divide by offering these interactive modules in critical areas such as coding, cybersecurity, artificial intelligence, sensors, and data visualization. Through this collaboration, Georgia Tech is empowering the next generation of tech-savvy leaders, fostering interest in STEM fields, and opening doors to exciting career opportunities.
Program Goals:
- Increase awareness and knowledge in key areas in the field of computer science among high school students.
- Increase the students’ intent to persist in the study of computer science.
- Create a community of learning among the participating educators.
- Increase the capacity of rural school districts to offer innovative computer science content.
During the pilot year (2022-2023), participants included Cartersville City Schools and Chattooga, Effingham, Fayette, Gordon, Haralson, Liberty, and Walker counties.
Questions: Email marissagardner@gatech.edu.
In the News
- August 28, 2024 - Rural Georgia High Schools Computer Science Program Reaches New Heights
- June 27, 2024 - Scientist Spotlight: Teaching technical topics to high schools
- March 29, 2024 - IPaT hosts high school computer science teachers
- February 4, 2024 – Stephens County High School partners with Georgia Tech in computer science
- January 11, 2024 – Georgia Tech outreach prepares students for technology jobs and future STEM education
- Fall 2023 CEISMC Impact Magazine – Computer science pilot program connects rural area students and teachers to emerging high-tech opportunities
- April 6, 2023 – GTRI, Georgia Tech launch computer science pilot program for rural Georgia high schools
- January 17, 2023 – Georgia Tech pilot program focuses on computer science