CMU TARA: Teaching and research assistant in statistics and econometrics with generative AI integration
CMU TARA is a user-friendly, web-based application developed using the R Shiny framework. It is designed to support both teaching and research in statistics and econometrics. It offers a suite of integrated tools including model suggestion, statistical and econometric analysis, and data visualization. Additionally, it features preliminary result interpretation and related theoretical explanations, while also incorporating Generative AI (e.g., ChatGPT) to provide intelligent assistance and query resolution. CMU TARA serves as a teaching assistant for educators and a research companion for scholars and students, requiring no prior coding experience. This paper introduces the software's key functionalities, development context, and use cases that highlight its role in enhancing educational outcomes and research productivity.
Authors
- Woraphon Yamaka (ORCID: https://orcid.org/0000-0002-0787-1437)
- Somsak Chanaim (ORCID: https://orcid.org/0000-0001-5821-2098)
- Namchok Chimprang (ORCID: https://orcid.org/0000-0002-6690-6185)
- Paravee Maneejuk (ORCID: https://orcid.org/0000-0002-3794-6161)
- Chinnapat Buachart (ORCID: https://orcid.org/0000-0002-2457-9227)
- Tatcha Sudtasan (ORCID: https://orcid.org/0000-0001-6680-6881)
- Nootchanat Pirabun
Institutions
- Thailand Center of Excellence in Physics (TH)
- Chiang Mai University (TH)
Publication Details
- Journal
- SoftwareX
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1016/j.softx.2025.102330
- Primary Topic
- Statistics Education and Methodologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Faculty of Economics, Chiang Mai University