ChatGPT in education: A discourse analysis of worries and concerns on social media
2023
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Description

The rapid advancements in generative AI models present new opportunities in the education sector. However, it is imperative to acknowledge and address the potential risks and concerns that may arise with their use. We collected Twitter data to identify key concerns related to the use of ChatGPT in education. This dataset is used to support the study "ChatGPT in education: A discourse analysis of worries and concerns on social media." In this study, we particularly explored two research questions. RQ1 (Concerns): What are the key concerns that Twitter users perceive with using ChatGPT in education? RQ2 (Accounts): Which accounts are implicated in the discussion of these concerns? In summary, our study underscores the importance of responsible and ethical use of AI in education and highlights the need for collaboration among stakeholders to regulate AI policy.

Details

Title
ChatGPT in education: A discourse analysis of worries and concerns on social media
Creator
Li, Lingyao Data Collector (University of Michigan)
Hemphill, Libby Supervisor (University of Michigan)
Subject
Issued Date
2023-09-26
Version
v1
Alternate Identifiers
DOI: https://doi.org/10.3886/jg8j-6t78
Status
Published
Access Rights
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Funding Information
National Science Foundation, 1928434
Citation
Li, Lingyao and Hemphill, Libby. ChatGPT in education: A discourse analysis of worries and concerns on social media. Inter-university Consortium for Political and Social Research [distributor], 2023-09-26. https://doi.org/10.3886/jg8j-6t78
Record Appears in
Artificial Intelligence (AI)
X (formerly Twitter)
Datasets
Time Period
2022-12-01, 2023-03-31
Collection Date
2023-04-10, 2023-04-11
Platform
Twitter
Collection Modes
application programming interface (API)
Data Formats
web platform data
Purpose
The rapid advancements in generative AI models present new opportunities in the education sector. However, it is imperative to acknowledge and address the potential risks and concerns that may arise with their use. We analyzed Twitter data to identify key concerns related to the use of ChatGPT in education.
Design

We used the academic version of Twitter Search API and selected fourteen education-related search terms along with the keyword “ChatGPT” to collect relevant tweets. Our search covered tweets posted from December 1, 2022, to March 31, 2023. OpenAI released ChatGPT on November 30, 2022 (OpenAI, 2022b). Specific search parameters include ChatGPT + school; ChatGPT + college; ChatGPT + university; ChatGPT + education; ChatGPT + student; ChatGPT + teacher; ChatGPT + learning; ChatGPT + curriculum; ChatGPT + class; ChatGPT + exam; ChatGPT + homework; ChatGPT + teaching; ChatGPT + academia; ChatGPT + academic.

To ensure consistency in our dataset, we limited our search to English tweets that contained the designated keywords. This decision was based on the capabilities of the NLP tools we used to analyze the tweets. As a result, we collected a total of 247,484 tweets, including original tweets, mentions, replies, and retweets, in which 84,828 were original tweets.

For sentiment analysis, we applied the “twitter-roberta-base-sentiment-latest” released by Loureiro et al. (2022), which is a built based on its predecessor “twitter-roberta-base-sentiment” model released by Barbieri et al. (2020).

Variables
Attributes of a tweet, such as tweet text, retweet count, favorite count, and time of tweet.
Sampling
nonprobability.availability
Related Resources
ChatGPT in education: A discourse analysis of worries and concerns on social media, Journal Article, Is Derived From, arXiv, https://arxiv.org/abs/2305.02201
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