4.6 Article

The opportunities and challenges of ChatGPT in education

Journal

INTERACTIVE LEARNING ENVIRONMENTS
Volume -, Issue -, Pages -

Publisher

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/10494820.2023.2253858

Keywords

ChatGPT; AI; university; cheating; plagiarism

Ask authors/readers for more resources

The launch of OpenAI ChatGPT's language-generation model has raised concerns, particularly in the academic sector. Academicians are urging universities to develop new forms of assessment due to ChatGPT's ability to quickly solve academic questions. This new type of cheating using AI-generated text poses unique challenges.
The launch of OpenAI ChatGPT's language-generation model has raised alarms within many sectors, especially the academic sector. Several academicians have urged universities to develop new forms of assessment after the launch of ChatGPT, which solves academic questions in less than a few minutes. Academic cheating is not a new phenomenon, and the use of AI-generated text to cheat on assignments is a new type of cheating that poses unique challenges. This study used the Latent Dirichlet Allocation (LDA) method for topic modeling and the Valence Aware Dictionary for Sentiment Reasoning (VADER) method for sentiment analysis. After data preprocessing, 3870 tweets were still available out of the originally 10,000 tweets that were extracted for the study. The VADER sentiment analysis results revealed that 2013 tweets were categorized as positive, with the remaining 804 and 1053 tweets categorized as negative and neutral. The analysis's findings indicate that the majority of people have favorable things to say about ChatGPT. As a result, educational institutions can mitigate the disruptive effects of this technology and promote academic integrity by developing clear policies and guidelines and designing assessments that include limited AI-generated text.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available