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Cited by 372Artificial Intelligence in EducationArtificial Intelligence in Healthcare and EducationIntelligent Tutoring Systems and Adaptive Learning

The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.

ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptions

Open access
Hadi Mogavi, Reza, Deng, Chao, Juho Kim, Justin, Zhou, Pengyuan, D. Kwon, Young, Hosny Saleh Metwally, Ahmed, Tlili, Ahmed, Bassanelli, Simone, Bucchiarone, Antonio, Gujar, Sujit, Nacke, Lennart E., Hui, Pan·2024·Computers in Human Behavior: Artificial Humans
DOI 10.1016/j.chbah.2023.100027
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Abstract

To foster the development of pedagogically potent and ethically sound AI-integrated learning landscapes, it is pivotal to critically explore the perceptions and experiences of the users immersed in these contexts. In this study, we perform a thorough qualitative content analysis across four key social media platforms. Our goal is to understand the user experience (UX) and views of early adopters of ChatGPT across different education sectors. The results of our research show that ChatGPT is most commonly used in the domains of higher education, K-12 education, and practical skills training. In social media dialogues, the topics most frequently associated with ChatGPT are productivity, efficiency, and ethics. Early adopters' attitudes towards ChatGPT are multifaceted. On one hand, some view it as a transformative tool capable of amplifying student self-efficacy and learning motivation. On the other hand, there is a degree of apprehension among others. They worry about a potential overdependence on the AI system, which they fear might encourage superficial learning habits and erode students’ social and critical thinking skills. This dichotomy of opinions underscores the complexity of Human-AI Interaction in educational contexts. Our investigation adds depth to this ongoing discourse, providing crowd-sourced insights for educators and learners who are considering incorporating ChatGPT or similar generative AI tools into their pedagogical strategies.

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Research works printed but not linked: 5

  1. P, Zhou. (2023). Unleasing chatgpt on the metaverse: Savior or destroyer? arXiv preprint arXiv:2303.13856. · arXiv
  2. Forehand, 2010, Bloom’s taxonomy, Emerging perspectives on learning, teaching, and technology, 41, 47
  3. J. W. Rae, S. Borgeaud, T. Cai, K. Millican, J. Hoffmann, F. Song, J. Aslanides, S. Henderson, R. Ring, S. Young, et al., (2021). Scaling language models: Methods, analysis & insights from training gopher, arXiv preprint arXiv:2112.11446. · arXiv
  4. A. Scheer, C. Noweski, C. Meinel. (2012). Transforming constructivist learning into action: Design thinking in education, Design and Technology Education: International Journal 17 (3). · DOI
  5. Zhang, 2018, Deep learning for sentiment analysis: A survey, WIREs Data Mining and Knowledge, Discovery, 8

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Metadata

Authors
Hadi Mogavi, R., Deng, C., Juho Kim, J., Zhou, P., D. Kwon, Y., Hosny Saleh Metwally, A., Tlili, A., Bassanelli, S., Bucchiarone, A., Gujar, S., Nacke, L. E., & Hui, P.
Affiliations
  • University of Science and Technology of China (CN)
  • Beijing Normal University (CN)
  • Fondazione Bruno Kessler (IT)
  • International Institute of Information Technology (IN)
  • University of Waterloo (CA)
  • University of Helsinki (FI)
Corresponding author
Hui, Pan
ORCID
Venue
Computers in Human Behavior: Artificial Humans
Publisher
Elsevier BV
Published
2024-01
Volume
2
Issue
1
Pages
100027
ISSN
2949-8821 (ISSN-L)
DOI
10.1016/j.chbah.2023.100027
OpenAlex
W4388817859
Semantic Scholar
cf5bfdb0bfbf2f3b42a131a40372212217eea3d3
Cited by
369
References
96
Citations by year
2026: 87 · 2025: 150 · 2024: 127
FWCI
86.92
Type
journal article
Language
en
Open access
Licence
Locations
  • Computers in Human Behavior Artificial Humans (publishedVersion, cc-by-nc-nd)
  • Archivio Istituzionale della Ricerca - Università degli Studi dell Aquila (submittedVersion, cc-by-nc-nd)
Topics
  • Social Sciences › Education › Artificial Intelligence in Education
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
Keywords
ChatGPT, generative AI in education, early adopters, user perception, user experience, higher education, K-12 education, practical skills training, student self-efficacy, student motivation, superficial learning, critical thinking, human-AI interaction, AI ethics, social media discourse

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