Opportunities and Challenges of Integrating ChatGPT in Education: Sentiment Analysis and Topic Modeling

TL;DR

This study analyzes Twitter discussions to understand how different occupations perceive ChatGPT in education, highlighting diverse opinions, concerns, and the need for informed policies for its responsible use.

Contribution

It uniquely explores occupational differences in perceptions of ChatGPT in education through sentiment analysis and topic modeling of social media data.

Findings

Diverse topics include use in schools, exams, integrity, and accuracy.

Most tweets are positive or neutral, but concerns persist.

Sentiment and topic perceptions vary across occupations.

Abstract

Since its recent debut, ChatGPT has become a global sensation and significantly impacted the field of education. Both educational researchers and practitioners have identified opportunities as well as risks associated with the use of this novel tool in educational settings. Despite the ongoing debate, there is still no research exploring occupational differences in the perception of ChatGPT in education. In this paper, we analyzed Twitter data using topic modeling and sentiment analysis to investigate how ChatGPT is perceived and discussed differently in different occupations. Our study found diverse topics discussed including its use in schools, impact on exams, academic integrity concerns, and response accuracy evaluations. While most tweets were positive or neutral, concerns about integrity and response accuracy were evident. Analysis revealed sentiment and topic variations among users' occupations. These findings emphasize the opportunities and challenges of integrating ChatGPT in education, necessitating continued monitoring and informed policy-making for responsible utilization.