Year: 2025
Type: article
Abstract: This paper presents templates to use with ChatGPT to quickly create statistics and analytics assessments. The templates are a form of prompt engineering. They were derived through extensive trial and error. The templates are presented following the organizational structure found in a typical introductory statistics course: data classification, descriptive statistics, probability, and inferential statistics. Every template can be customized, and multiple examples are shown. These templates help to keep content fresh, reduce plagiarism, and align assessments with instructor learning outcomes. They also reduce writing time, which allows instructors to focus on higher‐level aspects of assessment development. It is important to note that ChatGPT's output can contain errors. ChatGPT's weaknesses and errors are discussed throughout the paper.
Source: Teaching Statistics
DOI: 10.1111/test.70013
Authors: Ellen Gordon, Janna Chimeli, Lauren Kenyo, Raymond Frost
Institution: Ohio University
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
Estimated APC paid: $2,900
OpenAlex ID: W4413893686