Machine Learning in the History Classroom: Using Artificial Intelligence for a Student-led Inquiry into Redlining
This project takes the first step toward adopting artificial intelligence (AI) as a teaching tool in high school history classrooms. We use AI modeling software as the basis of a social studies unit on redlining. This allows students to investigate patterns across primary source texts and gain a deeper understanding of the systemic nature of historical discrimination. Using AI software, students investigate a large set of primary source texts—rather than an individual text—and pull out historical patterns that are normally impossible for them to access within the constraints of a social studies classroom. Finally, this project offers the opportunity to leverage educational technologies to teach histories of discrimination.
Catalyst Grants Support K-12 Students and Teachers For More Personalized, Equitable and Engaged Learning
Researchers presented their work during the fourth annual Catalyst Grant Research Symposium, hosted Sept. 27.
2021-2022 Catalyst Grant Winners Announced
Three Catalyst Grants were awarded this week by the Friday Institute for Educational Innovation and the NC State College of Education.
The purpose of the Catalyst Grant program is to increase research collaborations among faculty and staff in the College of Education departments and those located at the Friday Institute. A...