From AI to TA: How to Use ChatGPT to Quickly Create Statistics and Analytics Assessments
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| Title: | From AI to TA: How to Use ChatGPT to Quickly Create Statistics and Analytics Assessments |
|---|---|
| Language: | English |
| Authors: | Ellen Gordon (ORCID |
| Source: | Teaching Statistics: An International Journal for Teachers. 2026 48(1):19-32. |
| Availability: | Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us |
| Peer Reviewed: | Y |
| Page Count: | 14 |
| Publication Date: | 2026 |
| Document Type: | Journal Articles Reports - Descriptive |
| Descriptors: | Artificial Intelligence, Technology Uses in Education, Statistical Analysis, Statistics Education, Introductory Courses, Classification, Probability, Statistical Inference, Course Content, Plagiarism |
| DOI: | 10.1111/test.70013 |
| ISSN: | 0141-982X 1467-9639 |
| 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. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1494366 |
| Database: | ERIC |
| 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. |
|---|---|
| ISSN: | 0141-982X 1467-9639 |
| DOI: | 10.1111/test.70013 |
