University of Nebraska Medical Center

Using Generative AI in Assignment Creation and Simulation

Presenter: Lynne Buchanan, PhD, APRN-NP, BC

Artificial intelligence (AI) is a type of scientific advancement which uses technology that is made possible because of the advances in computer science that allow large amounts of data to be used to train machines to do human work including for the education of students and classroom teaching. If applied appropriately and with best practices, AI technologies can expand teaching activities and individualize learning. Chat bots (ChatGPT and CoPilot) and other generative AI models are disrupting how students learn. The use of natural language processing is a type of AI technology that enables computers to understand words as humans do and generative AI machines use a blend of supervised and unsupervised machine learning to create new content that is in the form of images, videos, audio text and programming codes. These have huge potential in learning but are not being widely used.

The purpose of this project is to evaluate the use of generative AI models in student learning.

The objective is to develop an evidence-based quality improvement project that has a simulation and case study that is used to apply generative AI models to teach medical history using an AI generated template, improve documentation using a generative AI model, and present guidelines for faculty use in the classroom.

The question is: Does the use of AI and natural language processing machine use enhance student learning when completing a simulation activity of a virtual medical history and documentation?

The learning activity will take place in advanced assessment and students will be evaluated for satisfaction and skill. AI and machine learning applications have great potential to improve student learning.

This evidence-based quality improvement project will provide data on student outcomes and satisfaction and information for faculty to develop guidelines and policy for use in the classroom.