Abstract
ABSTRACT ChatGPT, an AI software, has rapidly gained popularity for a wide variety of applications, including educational uses. This research explores the use of ChatGPT to supplement Geographical Information Systems (GIS) coursework creation, to help educators with little experience in GIS. Visualizing sea level rise (SLR) and quantifying the extent of inundated areas under varying SLR scenarios is a common GIS lab activity requiring numerous and sequential software steps. We prompted ChatGPT 3.5 to generate its own version of instructions for a lab assignment to produce two deliverables: 1) a map displaying the extent of inundation under three different SLR scenarios and 2) a data table showing the amount of land inundated in each scenario. The initial ChatGPT instructions were inadequate and following them produced incorrect and incomplete results. However, by refining the prompt and increasing data training, we found that ChatGPT could yield better results for GIS assignment creation applications.
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