ChatGPT for Teaching and Learning: An Experience from Data Science Education

TL;DR

This paper explores the use of ChatGPT in data science education, sharing experiences, student perspectives, and identifying unique opportunities and challenges in integrating large language models into the curriculum.

Contribution

It provides the first detailed account of applying ChatGPT specifically in data science teaching, highlighting distinct aspects and considerations compared to other subjects.

Findings

ChatGPT offers new opportunities for engaging data science students.

Incorporating ChatGPT presents unique challenges in curriculum design.

Students perceive ChatGPT as a valuable learning aid.

Abstract

ChatGPT, an implementation and application of large language models, has gained significant popularity since its initial release. Researchers have been exploring ways to harness the practical benefits of ChatGPT in real-world scenarios. Educational researchers have investigated its potential in various subjects, e.g., programming, mathematics, finance, clinical decision support, etc. However, there has been limited attention given to its application in data science education. This paper aims to bridge that gap by utilizing ChatGPT in a data science course, gathering perspectives from students, and presenting our experiences and feedback on using ChatGPT for teaching and learning in data science education. The findings not only distinguish data science education from other disciplines but also uncover new opportunities and challenges associated with incorporating ChatGPT into the data science curriculum.