$3 million collaborative project to enhance AI in science education
Advancements in technology have transformed a range of fields throughout the 21st century.
To continue this momentum and support middle school science teachers, the University of Georgia will use a $3 million grant from the National Science Foundation to enhance artificial intelligence (AI) and machine learning-based assessments to help science teachers make instructional decisions based on automatically generated student reports.
Xiaoming Zhai, the principal investigator of the study and an assistant professor in the Mary Frances Early College of Education’s Department of Mathematics, Science, and Social Studies Education, will collaborate with Joseph Krajcik, CREATE for STEM Institute director and professor at Michigan State University; Gary Weiser, a research associate at WestEd; and Yue Yin, a professor at the University of Illinois at Chicago.
“The goal for this project is to forward machine learning and AI in the classroom to allow teachers to use the technology and increment assessment work in their classrooms,” Zhai said. “Using machine learning, we are trying to develop algorithms to allow timely feedback to teachers.”