TY - GEN
T1 - Solar Weather, Simulation, and AI in Middle School
T2 - 55th ACM Technical Symposium on Computer Science Education, SIGCSE 2024
AU - Douglass, Esther
AU - Herbert, Katherine G.
AU - Anu, Vaibhav
AU - Marlowe, Thomas J.
AU - Hagiwara, Sumi
N1 - Publisher Copyright:
© 2024 Owner/Author.
PY - 2024/3/14
Y1 - 2024/3/14
N2 - In today's rapidly changing technological landscape, it is becoming increasingly evident that solar weather, simulations, and artificial intelligence (AI) are topics that can be and should be integrated into middle school education. Solar weather events can create massive problems with climate, communication, and technology, problems that can be alleviated by prediction. These events generate massive amounts of data that AI can use for such prediction. These topics can be introduced through simulations. How can we integrate solar weather data and simulations with AI-driven models to create interactive and educational software? This paper reviews lessons and pedagogical approaches used to teach about solar weather, AI and incorporate simulations to integrate CS concepts into other middle school subject areas. The research supports year one of a three-year project. The length of the project allows time to develop a progression to introduce CS concepts and the development of a simulation that can be used in a variety of middle school classrooms.
AB - In today's rapidly changing technological landscape, it is becoming increasingly evident that solar weather, simulations, and artificial intelligence (AI) are topics that can be and should be integrated into middle school education. Solar weather events can create massive problems with climate, communication, and technology, problems that can be alleviated by prediction. These events generate massive amounts of data that AI can use for such prediction. These topics can be introduced through simulations. How can we integrate solar weather data and simulations with AI-driven models to create interactive and educational software? This paper reviews lessons and pedagogical approaches used to teach about solar weather, AI and incorporate simulations to integrate CS concepts into other middle school subject areas. The research supports year one of a three-year project. The length of the project allows time to develop a progression to introduce CS concepts and the development of a simulation that can be used in a variety of middle school classrooms.
KW - artificial intelligence
KW - data science
KW - k-12 cs education
KW - machine learning
KW - neural networks
KW - solar weather
UR - http://www.scopus.com/inward/record.url?scp=85189160920&partnerID=8YFLogxK
U2 - 10.1145/3626253.3635555
DO - 10.1145/3626253.3635555
M3 - Conference contribution
AN - SCOPUS:85189160920
T3 - SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education
SP - 1630
EP - 1631
BT - SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education
PB - Association for Computing Machinery, Inc
Y2 - 20 March 2024 through 23 March 2024
ER -