Principle investigator
Xiaoming Zhai, PI, director of AI4STM Education Center, and associate professor of science education and artificial intelligence at UGA, has extensive experience in applying AI and machines to facilitate science teaching and learning. He is PI and co-PI of several NSF, NIH, and NAEd/Spencer projects. He is a recipient of the Humboldt Research Fellowship (Germany), Sarah H. Moss Fellowship, and AERA SIG Early Career Scholar Award. He is the founding chair of the research interest group of NARST, Research in AI-involved Science Education (RAISE), he chaired the International Conference of AI-Based Assessment in STEM, and edited the “Special Issue: Applying Machine Learning in Science Assessment.” He will oversee the project and co-edit the conference proceeding book
