Work

CMU TARA: Teaching and research assistant in statistics and econometrics with generative AI integration

Year: 2025

Type: software-paper

Abstract: 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.

Source: SoftwareX

DOI: 10.1016/j.softx.2025.102330

Authors: Woraphon Yamaka, Somsak Chanaim, Namchok Chimprang, Nootchanat Pirabun, Paravee Maneejuk, Tatcha Sudtasan, Chinnapat Buachart

Institution: Chiang Mai University

Language: English

Topic: Statistics Education and Methodologies

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,200

Funder: Faculty of Economics, Chiang Mai University

OpenAlex ID: W4413963434

Cites: 17

Cited by:

Related to: 10