Peabody Researchers Receive Funding to Launch Data Science Challenges to Improve Education
This article was originally published by Vanderbilt University.
ChatGPT is here to stay and educators need to adapt to their students using it — at least, that is what news headlines have suggested for almost a year following ChatGPT’s unveiling. Much of the coverage has given voice to worries about the possibility that AI will hinder learning by doing students’ work for them. But the AI revolution has just begun, and some experts are seizing on AI’s positive potential to augment teaching and learning.
A growing number of those experts are faculty at Vanderbilt Peabody College of Education and Human Development, including Scott Crossley, professor of special education, Bethany Rittle-Johnson, professor of psychology and human development, and Kelley Durkin, research assistant professor of teaching and learning. They have teamed up to launch data science challenges that will leverage the power of AI to advance K-12 education in writing and math. Supported by several private foundations, they will lead two challenges focused on improving student writing and one challenge to model students’ math misconceptions. Teams will compete to integrate AI models into automatic writing evaluation systems to better provide feedback to students. The math challenge aims to provide teachers and students with early feedback on probable misconceptions.