IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0315011.html

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. Ljubica Nedelkoska & Glenda Quintini, 2018. "Automation, skills use and training," OECD Social, Employment and Migration Working Papers 202, OECD Publishing.
    9. 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)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Vimala A/P Govindaraju & Elly Illya Arissa, 2026. "The Influence of Artificial Intelligence on Interpersonal Relationship Among Undergraduate Students," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 10(2), pages 6876-6891, February.
    2. Lasarov, Wassili & Hoffmann, Stefan & Dwivedi, Yogesh K., 2026. "With a little help from my artificial friend: Functional and parasocial value in ChatGPT use," Technology in Society, Elsevier, vol. 85(C).
    3. Liang, Haiying & Mao, Xu, 2025. "Students’ attitudes toward generative artificial intelligence in academic contexts: A multi-factor analysis," International Journal of Educational Development, Elsevier, vol. 119(C).
    4. Doğan Can Akçin, 2026. "A Longitudinal Mixed-Methods Study on the Complementary Roles of AI Tools and Teacher Expertise in L2 Writing Instruction," SAGE Open, , vol. 16(2), pages 21582440261, June.
    5. Kevin Thierry Affoukou & Mavis Akom & Anne Namatsi Lutomia & Adegbenga Adekoya & John Medendorp & Barry Robert Pittendrigh & Julia Bello-Bravo, 2025. "Impacts of Age, Gender, and Education on Reported Adoption of Jerrycan Post-Harvest Prevention Technique After Mass-Scaling of Educational Animations in Ghana, Kenya, and Nigeria," SAGE Open, , vol. 15(4), pages 21582440251, November.
    6. Hatim BOUMHAOUAD, 2026. "Students' Uses Of Generative Artificial Intelligence In Higher Education: Perceptions, Benefits, And Challenges," Annals of the University of Craiova, Series Psychology, Pedagogy, Teacher Training Department, University of Craiova, vol. 48(1), pages 90-104, June.
    7. Laura Maska & Patra Vlachopanou & Dimitrios Kalamaras & Angeliki Tsameti, 2026. "Validating the AIM–N: An AI-motivation and needs scale with multi-group invariance and MIMIC-DIF evidence in higher education," PLOS ONE, Public Library of Science, vol. 21(3), pages 1-31, March.
    8. Gonda, Raphael & Park, Jaehun, 2026. "Charting the ChatGPT landscape: Insights from academic discourse on Twitter," Technology in Society, Elsevier, vol. 85(C).
    9. repec:bcp:journl:v:9:y:2025:i:26:p:9171-9183 is not listed on IDEAS
    10. Stalin Zunguzira & Nor Azilah Husin & Fatimiyah Abas Abdul Manan Nduen & Mubarak Mainasara & Hassan Abdullah Ali Mudeihij & Muhammad Omar, 2026. "International Student Satisfaction in Malaysian Universities with AI-Integrated Service Experiences," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 10(5), pages 11382-11398, May.
    11. Contractor, Zara & Reyes, Germán, 2026. "Experimental Evidence on the Learning Impact of Generative AI," IZA Discussion Papers 18792, IZA Network @ LISER.
    12. Zara Contractor & Germ'an Reyes, 2026. "Experimental Evidence on the Learning Impact of Generative AI," Papers 2607.08849, arXiv.org.
    13. Joanna Kic-Drgas & Ferit Kılıçkaya, 2026. "Artificial Intelligence Tool Adoption for Teachers’ Self-Regulated Learning: A Qualitative Study of In-Service Language Teachers," SAGE Open, , vol. 16(2), pages 21582440261, April.

    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. Florencia Jaccoud, 2025. "Robots & AI exposure and wage inequality: a within occupation approach," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 15(4), pages 1035-1090, December.
    4. Konstantinos Pouliakas & Giulia Santangelo & Paul Dupire, 2025. "Are artificial intelligence skills a reward or a gamble? Deconstructing the AI wage premium in Europe," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 15(4), pages 1091-1128, December.
    5. Philip Moreira Tomei & Bouke Klein Teeselink, 2026. "What Jobs Can AI Learn? Measuring Exposure by Reinforcement Learning," Papers 2605.02598, arXiv.org.
    6. Jaccoud, Florencia, 2025. "Robots & AI Exposure and Wage Inequality," MERIT Working Papers 2025-013, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    7. Pelin Ozgul & Marie-Christine Fregin & Michael Stops & Simon Janssen & Mark Levels, 2024. "High-skilled Human Workers in Non-Routine Jobs are Susceptible to AI Automation but Wage Benefits Differ between Occupations," Papers 2404.06472, arXiv.org.
    8. Dawei (David) Zhang & Gang Peng & Yuliang Yao & Tyson R. Browning, 2024. "Is a College Education Still Enough? The IT-Labor Relationship with Education Level, Task Routineness, and Artificial Intelligence," Information Systems Research, INFORMS, vol. 35(3), pages 992-1010, September.
    9. Wen Zhang & Kee-Hung Lai & Qiguo Gong, 2024. "The future of the labor force: higher cognition and more skills," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-9, December.
    10. Casas Pablo & Fernandez Macias Enrique & Martinez Plumed Fernando & Gomez Emilia & Gonzalez Vazquez Ignacio & Salotti Simone, 2026. "Revisiting the occupational impact of AI in the generative AI era," JRC Working Papers on Labour, Education and Technology 2026-02, Joint Research Centre.
    11. Nikolova, Milena & Cnossen, Femke & Nikolaev, Boris, 2024. "Robots, meaning, and self-determination," Research Policy, Elsevier, vol. 53(5).
    12. 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).
    13. Zhou, Huilin & Wang, Linhui & Cao, Yutong & Li, Jincheng, 2025. "The impact of artificial intelligence on labor market: A study based on bibliometric analysis," Journal of Asian Economics, Elsevier, vol. 98(C).
    14. Rony, Sidharth, 2026. "Automation and Human Capital Investment," MERIT Working Papers 009, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    15. Arntz, Melanie & Blesse, Sebastian & Doerrenberg, Philipp, 2022. "The end of work is near, isn't it? Survey evidence on automation angst," ZEW Discussion Papers 22-036, ZEW - Leibniz Centre for European Economic Research.
    16. Sylvie Blasco, 2022. "Replaced or depressed? The effect of automation risk on workers' mental health," French Stata Users' Group Meetings 2022 09, Stata Users Group.
    17. Blasco, Sylvie & Rochut, Julie & Rouland, Benedicte, 2022. "Displaced or Depressed? The Effect of Working in Automatable Jobs on Mental Health," IZA Discussion Papers 15434, IZA Network @ LISER.
    18. Julia Bock-Schappelwein & Andrea Egger, 2023. "Arbeitsmarkt 2030. Rückschlüsse für Österreich," WIFO Studies, WIFO, number 71172.
    19. Emilio Colombo & Fabio Mercorio & Mario Mezzanzanica & Antonio Serino, 2024. "Towards the Terminator Economy: Assessing Job Exposure to AI through LLMs," DISEIS - Quaderni del Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo dis2401, Università Cattolica del Sacro Cuore, Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo (DISEIS).
    20. Anna Matysiak & Daniela Bellani & Honorata Bogusz, 2023. "Industrial Robots and Regional Fertility in European Countries," European Journal of Population, Springer;European Association for Population Studies, vol. 39(1), pages 1-36, December.

    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.