RTutor Applied to Teaching Data Analytics

Abstract

My research focuses on the use of RTutor as a developmental tool for OpenAI, aiming to bring more efficient working skills to users. Although R is not user-friendly to those without any programming foundation, RTutor is a platform that enables people to get desired data analysis results in the form of questions, without requiring coding abilities. The main objective of this project is to examine potential ways that a robot like ChatGPT can change the nature of work and key responsibilities for technical roles, such as that of a Data Analyst or an Information Technology Project Manager. Based on the characteristics of the use of RTutor, my report will present recommendations and tutorials on how graduate degree programs, such as MASY, can adapt their curriculum to evolve with the advancement of technology. My research focuses on how to efficiently write queries that can produce analysis results, where different words and descriptions can lead to different outcomes. Compared to traditional programming tools, RTutor allows for the production of multiple results in various formats, including images, questions, and more, while still ensuring consistency in the results. My findings have been compared with Xi Zou's, who used R to answer questions, while I used queries to obtain the answers and determine how I wanted them presented. My research mainly employs qualitative analysis, and the use of RTutor as a platform significantly boosts the efficiency of data analysis, whether for professional or research purposes. In conclusion, my capstone project demonstrates the potential of RTutor as a useful tool that can improve data analysis skills for individuals without any programming foundation, and offers recommendations for graduate degree programs to adapt their curriculum accordingly to the advancement of technology.