Cited by 65Artificial Intelligence in EducationSentiment Analysis and Opinion MiningAI in Service Interactions

Higher Education Faculty Perceptions of ChatGPT and the Influencing Factors: A Sentiment Analysis of X

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Mamo, Yoseph, Crompton, Helen, Burke, Diane, Nickel, Christine·2024·TechTrends

Abstract

ChatGPT, an AI chatbot developed by OpenAI, was released in November 2022, sparking a significant surge in global awareness and utilization of generative AI across various domains. Although recent studies have acknowledged the significance of ChatGPT in the education sector, they have yet to focus on exploring faculty attitudes toward ChatGPT. We gathered a comprehensive corpus of tweets containing “#ChatGPT” and “#highered” between November 30th, 2022, and April 30th, 2023. We analyzed data by triangulating VADER, NRC lexicon, and ground coding. Findings suggest that 40% of the expressed sentiments were positive, 51% were neutral, and 9% were negative. The study also revealed the diverse range of emotions held by higher education faculty regarding ChatGPT, with trust and joy being the most prevalent positive sentiments and fear and anger being the most prevalent negative sentiments. This study shed light on faculty members’ perceptions of ChatGPT, contributing to a better understanding of the impact, emotions, and incorporation of ChatGPT in the higher education sector.

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  • The experience of mixed emotional responses and ethical navigation among Christian faculty was supported by literature.

    “The experience of mixed emotional responses and ethnical navigation was supported by literature (Hagendorff, 2020;Mamo et al., 2024;Mittelstadt, 2019).”

    From Into the Unknown: AI Adoption and Job Satisfaction of Christian Faculty (2026) · cites this paper as Mamo et al., 2024

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Cited by

Sorted by citations

Authors
Mamo, Y., Crompton, H., Burke, D., & Nickel, C.
Affiliations
Old Dominion University (US)
Corresponding author
Mamo, Yoseph
Venue
TechTrends
Published
2024-04-13
Volume
68
Issue
3
Pages
520-534
ISSN
  • 1559-7075 (ISSN-L)
  • 8756-3894
OpenAlex
W4394784173
Cited by
65
References
16
Citations by year
2026: 29 · 2025: 29 · 2024: 7
FWCI
24.44
Type
journal article
Language
en
Open access
Locations
  • TechTrends (publishedVersion, cc-by)
  • ODU Digital Commons (Old Dominion University) (submittedVersion, cc-by)
Topics
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
Keywords
ChatGPT, generative AI, university faculty, teacher perceptions, sentiment analysis, emotions, trust, fear, artificial intelligence in education, Twitter discourse

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