IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0315011.html
   My bibliography  Save this article

Higher education students’ perceptions of ChatGPT: A global study of early reactions

Author

Listed:
  • Dejan Ravšelj
  • Damijana Keržič
  • Nina Tomaževič
  • Lan Umek
  • Nejc Brezovar
  • Noorminshah A. Iahad
  • Ali Abdulla Abdulla
  • Anait Akopyan
  • Magdalena Waleska Aldana Segura
  • Jehan AlHumaid
  • Mohamed Farouk Allam
  • Maria Alló
  • Raphael Papa Kweku Andoh
  • Octavian Andronic
  • Yarhands Dissou Arthur
  • Fatih Aydın
  • Amira Badran
  • Roxana Balbontín-Alvarado
  • Helmi Ben Saad
  • Andrea Bencsik
  • Isaac Benning
  • Adrian Besimi
  • Denilson da Silva Bezerra
  • Chiara Buizza
  • Roberto Burro
  • Anthony Bwalya
  • Cristina Cachero
  • Patricia Castillo-Briceno
  • Harold Castro
  • Ching Sing Chai
  • Constadina Charalambous
  • Thomas K F Chiu
  • Otilia Clipa
  • Ruggero Colombari
  • Luis José H Corral Escobedo
  • Elísio Costa
  • Radu George Crețulescu
  • Marta Crispino
  • Nicola Cucari
  • Fergus Dalton
  • Meva Demir Kaya
  • Ivo Dumić-Čule
  • Diena Dwidienawati
  • Ryan Ebardo
  • Daniel Lawer Egbenya
  • MoezAlIslam Ezzat Faris
  • Miroslav Fečko
  • Paulo Ferrinho
  • Adrian Florea
  • Chun Yuen Fong
  • Zoë Francis
  • Alberto Ghilardi
  • Belinka González-Fernández
  • Daniela Hau
  • Md Shamim Hossain
  • Theo Hug
  • Fany Inasius
  • Maryam Jaffar Ismail
  • Hatidža Jahić
  • Morrison Omokiniovo Jessa
  • Marika Kapanadze
  • Sujita Kumar Kar
  • Elham Talib Kateeb
  • Feridun Kaya
  • Hanaa Ouda Khadri
  • Masao Kikuchi
  • Vitaliy Mykolayovych Kobets
  • Katerina Metodieva Kostova
  • Evita Krasmane
  • Jesus Lau
  • Wai Him Crystal Law
  • Florin Lazăr
  • Lejla Lazović-Pita
  • Vivian Wing Yan Lee
  • Jingtai Li
  • Diego Vinicio López-Aguilar
  • Adrian Luca
  • Ruth Garcia Luciano
  • Juan D Machin-Mastromatteo
  • Marwa Madi
  • Alexandre Lourenço Manguele
  • Rubén Francisco Manrique
  • Thumah Mapulanga
  • Frederic Marimon
  • Galia Ilieva Marinova
  • Marta Mas-Machuca
  • Oliva Mejía-Rodríguez
  • Maria Meletiou-Mavrotheris
  • Silvia Mariela Méndez-Prado
  • José Manuel Meza-Cano
  • Evija Mirķe
  • Alpana Mishra
  • Ondrej Mital
  • Cristina Mollica
  • Daniel Ionel Morariu
  • Natalia Mospan
  • Angel Mukuka
  • Silvana Guadalupe Navarro Jiménez
  • Irena Nikaj
  • Maria Mihaylova Nisheva
  • Efi Nisiforou
  • Joseph Njiku
  • Singhanat Nomnian
  • Lulzime Nuredini-Mehmedi
  • Ernest Nyamekye
  • Alka Obadić
  • Abdelmohsen Hamed Okela
  • Dorit Olenik-Shemesh
  • Izabela Ostoj
  • Kevin Javier Peralta-Rizzo
  • Almir Peštek
  • Amila Pilav-Velić
  • Dilma Rosanda Miranda Pires
  • Eyal Rabin
  • Daniela Raccanello
  • Agustine Ramie
  • Md Mamun ur Rashid
  • Robert A P Reuter
  • Valentina Reyes
  • Ana Sofia Rodrigues
  • Paul Rodway
  • Silvia Ručinská
  • Shorena Sadzaglishvili
  • Ashraf Atta M S Salem
  • Gordana Savić
  • Astrid Schepman
  • Samia Mokhtar Shahpo
  • Abdelmajid Snouber
  • Emma Soler
  • Bengi Sonyel
  • Eliza Stefanova
  • Anna Stone
  • Artur Strzelecki
  • Tetsuji Tanaka
  • Carolina Tapia Cortes
  • Andrea Teira-Fachado
  • Henri Tilga
  • Jelena Titko
  • Maryna Tolmach
  • Dedi Turmudi
  • Laura Varela-Candamio
  • Ioanna Vekiri
  • Giada Vicentini
  • Erisher Woyo
  • Özlem Yorulmaz
  • Said A S Yunus
  • Ana-Maria Zamfir
  • Munyaradzi Zhou
  • Aleksander Aristovnik

Abstract

The paper presents the most comprehensive and large-scale global study to date on how higher education students perceived the use of ChatGPT in early 2024. With a sample of 23,218 students from 109 countries and territories, the study reveals that students primarily used ChatGPT for brainstorming, summarizing texts, and finding research articles, with a few using it for professional and creative writing. They found it useful for simplifying complex information and summarizing content, but less reliable for providing information and supporting classroom learning, though some considered its information clearer than that from peers and teachers. Moreover, students agreed on the need for AI regulations at all levels due to concerns about ChatGPT promoting cheating, plagiarism, and social isolation. However, they believed ChatGPT could potentially enhance their access to knowledge and improve their learning experience, study efficiency, and chances of achieving good grades. While ChatGPT was perceived as effective in potentially improving AI literacy, digital communication, and content creation skills, it was less useful for interpersonal communication, decision-making, numeracy, native language proficiency, and the development of critical thinking skills. Students also felt that ChatGPT would boost demand for AI-related skills and facilitate remote work without significantly impacting unemployment. Emotionally, students mostly felt positive using ChatGPT, with curiosity and calmness being the most common emotions. Further examinations reveal variations in students’ perceptions across different socio-demographic and geographic factors, with key factors influencing students’ use of ChatGPT also being identified. Higher education institutions’ managers and teachers may benefit from these findings while formulating the curricula and instructions/regulations for ChatGPT use, as well as when designing the teaching methods and assessment tools. Moreover, policymakers may also consider the findings when formulating strategies for secondary and higher education system development, especially in light of changing labor market needs and related digital skills development.

Suggested Citation

  • Dejan Ravšelj & Damijana Keržič & Nina Tomaževič & Lan Umek & Nejc Brezovar & Noorminshah A. Iahad & Ali Abdulla Abdulla & Anait Akopyan & Magdalena Waleska Aldana Segura & Jehan AlHumaid & Mohamed Fa, 2025. "Higher education students’ perceptions of ChatGPT: A global study of early reactions," PLOS ONE, Public Library of Science, vol. 20(2), pages 1-53, February.
  • Handle: RePEc:plo:pone00:0315011
    DOI: 10.1371/journal.pone.0315011
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0315011
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0315011&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0315011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2022. "Artificial Intelligence and Jobs: Evidence from Online Vacancies," Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 293-340.
    2. Firuz Kamalov & David Santandreu Calonge & Ikhlaas Gurrib, 2023. "New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution," Sustainability, MDPI, vol. 15(16), pages 1-27, August.
    3. Dowling, Michael & Lucey, Brian, 2023. "ChatGPT for (Finance) research: The Bananarama Conjecture," Finance Research Letters, Elsevier, vol. 53(C).
    4. Ravil I. Mukhamediev & Yelena Popova & Yan Kuchin & Elena Zaitseva & Almas Kalimoldayev & Adilkhan Symagulov & Vitaly Levashenko & Farida Abdoldina & Viktors Gopejenko & Kirill Yakunin & Elena Muhamed, 2022. "Review of Artificial Intelligence and Machine Learning Technologies: Classification, Restrictions, Opportunities and Challenges," Mathematics, MDPI, vol. 10(15), pages 1-25, July.
    5. Moravec, Vaclav & Hynek, Nik & Skare, Marinko & Gavurova, Beata & Kubak, Matus, 2024. "Human or machine? The perception of artificial intelligence in journalism, its socio-economic conditions, and technological developments toward the digital future," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    6. Henrik Schwabe & Fulvio Castellacci, 2020. "Automation, workers’ skills and job satisfaction," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-26, November.
    7. Giordano, Vito & Spada, Irene & Chiarello, Filippo & Fantoni, Gualtiero, 2024. "The impact of ChatGPT on human skills: A quantitative study on twitter data," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    8. Li, Jian & Huang, Jin-Song, 2020. "Dimensions of artificial intelligence anxiety based on the integrated fear acquisition theory," Technology in Society, Elsevier, vol. 63(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Giordano, Vito & Spada, Irene & Chiarello, Filippo & Fantoni, Gualtiero, 2024. "The impact of ChatGPT on human skills: A quantitative study on twitter data," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    2. Hoffmann, Stefan & Lasarov, Wassili & Dwivedi, Yogesh K., 2024. "AI-empowered scale development: Testing the potential of ChatGPT," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    3. Wu, Qinqin & Zhuang, Qinqin & Liu, Yitong & Han, Longyan, 2024. "Technology shock of ChatGPT, social attention and firm value: Evidence from China," Technology in Society, Elsevier, vol. 79(C).
    4. Andrei Ternikov, 2023. "Skill preferences in job postings," Economics Bulletin, AccessEcon, vol. 43(4), pages 1928-1943.
    5. Kirtac, Kemal & Germano, Guido, 2024. "Sentiment trading with large language models," Finance Research Letters, Elsevier, vol. 62(PB).
    6. Alexander Bick & Adam Blandin & David Deming, 2023. "The Rapid Adoption of Generative AI," On the Economy 98843, Federal Reserve Bank of St. Louis.
    7. Engberg, Erik & Görg, Holger & Lodefalk, Magnus & Javed, Farrukh & Längkvist, Martin & Monteiro, Natália & Kyvik Nordås, Hildegunn & Pulito, Giuseppe & Schroeder, Sarah & Tang, Aili, 2023. "AI Unboxed and Jobs: A Novel Measure and Firm-Level Evidence from Three Countries," Ratio Working Papers 370, The Ratio Institute.
    8. Arsenyan, Jbid & Mirowska, Agata & Piepenbrink, Anke, 2023. "Close encounters with the virtual kind: Defining a human-virtual agent coexistence framework," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    9. Marydas, Sneha & Mathew, Nanditha & De Marzo, Giordano & Pietrobelli, Carlo, 2025. "Digital Technologies, Hiring, Training, and Firm Outcomes," MERIT Working Papers 2025-004, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    10. Samuel Muehlemann, 2024. "AI Adoption and Workplace Training," Economics of Education Working Paper Series 0232, University of Zurich, Department of Business Administration (IBW).
    11. Enrico Maria Fenoaltea & Dario Mazzilli & Aurelio Patelli & Angelica Sbardella & Andrea Tacchella & Andrea Zaccaria & Marco Trombetti & Luciano Pietronero, 2024. "Follow the money: a startup-based measure of AI exposure across occupations, industries and regions," Papers 2412.04924, arXiv.org, revised Dec 2024.
    12. Naomi Hausman & Oren Rigbi & Sarit Weisburd, 2025. "Generative AI’s Impact on Student Achievement and Implications for Worker Productivity," CESifo Working Paper Series 11843, CESifo.
    13. Rice, Stephen & Crouse, Sean R. & Winter, Scott R. & Rice, Connor, 2024. "The advantages and limitations of using ChatGPT to enhance technological research," Technology in Society, Elsevier, vol. 76(C).
    14. Cao, Sean & Jiang, Wei & Wang, Junbo & Yang, Baozhong, 2024. "From Man vs. Machine to Man + Machine: The art and AI of stock analyses," Journal of Financial Economics, Elsevier, vol. 160(C).
    15. Naima SAHLI & Khaldia BOUGHENA & Amina ABDELHADI, 2024. "A Systematic Review Of Empirical Studies On The Impact Of Artificial Intelligence On University Students’ Writing Skills," Annals of the University of Craiova, Series Psychology, Pedagogy, Teacher Training Department, University of Craiova, vol. 46(2), pages 285-297, December.
    16. Zhang, Weidong & Zuo, Na & He, Wu & Li, Songtao & Yu, Lu, 2021. "Factors influencing the use of artificial intelligence in government: Evidence from China," Technology in Society, Elsevier, vol. 66(C).
    17. Fu, Chao & Luo, Dianying & Zhang, Jiaoshu & Li, Wenxia, 2025. "Tax incentives, marketization level, and corporate digital transformation," International Review of Economics & Finance, Elsevier, vol. 97(C).
    18. Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2024. "AI adoption in America: Who, what, and where," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 375-415, March.
    19. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2024. "The political economy of complex evolving systems: the case of declining unionization and rising inequalities," LEM Papers Series 2024/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    20. Xuequn Wang & Xiaolin Lin & Bin Shao, 2023. "Artificial intelligence changes the way we work: A close look at innovating with chatbots," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(3), pages 339-353, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0315011. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.