Designing Technology to Support Hospital Education
Hospital teachers are specialized educators who provide instruction to children in grades K-12 while they are hospitalized. Before the advent of generative AI, these teachers would spend countless hours developing individualized and accessible lesson plans for the diverse range of students admitted to the hospital. Developing engaging lessons for the diversity of students in the hospital setting can be challenging and overwhelming, adding to the already stressful career of a hospital teacher.
However, with the onset of generative AI tools like ChatGPT, education can be reimagined to support these teachers in creating custom lesson plans using generative AI technology. Our goal is to explore and develop AI tools that can assist hospital teachers in developing K-12 lesson plans that are tailored to the specific needs of their students.
Team Members
Ihudiya Finda Williams (Computer Science) brings her expertise in the areas of human-computer interaction (HCI) and learning sciences. She is an assistant professor in the Department of Computer Science, where she conducts research using community-engaged principles in computer science.
Sweta Baniya (English) is an assistant professor of rhetoric and professional and technical writing, where she focuses her research and teaching on supporting vulnerable and marginalized communities within Blacksburg and beyond.