IDEAS home Printed from https://ideas.repec.org/a/gam/jsoctx/v13y2023i8p196-d1221959.html
   My bibliography  Save this article

Using ChatGPT in Education: Human Reflection on ChatGPT’s Self-Reflection

Author

Listed:
  • Eugène Loos

    (School of Governance, Utrecht University, 3511 ZC Utrecht, The Netherlands)

  • Johanna Gröpler

    (TH Wildau College, University of Applied Sciences Wildau, 15745 Wildau, Germany)

  • Marie-Louise Sophie Goudeau

    (Utrecht University Library, 3508 TC Utrecht, The Netherlands)

Abstract

ChatGPT is a fascinating AI text generator tool. It is a language model developed by OpenAI, a research and deployment company with the mission, according to OpenAI’s website: “to ensure that artificial general intelligence benefits all of humanity”. ChatGPT is able to generate human-like texts. But how does it work? What about the quality of the texts it provides? And is it capable of being self-reflective? Information sources must be efficient, effective and reliable in education, in order to enhance students’ learning process. For this reason, we started a dialogue with ChatGPT-3 while using, among others, a SWOT analysis it generated about its own functioning in an educational setting. This enabled us, as human authors, to analyze the extent to which this AI system is able to practice self-reflection. Finally, the paper sketches implications for education and future research.

Suggested Citation

  • Eugène Loos & Johanna Gröpler & Marie-Louise Sophie Goudeau, 2023. "Using ChatGPT in Education: Human Reflection on ChatGPT’s Self-Reflection," Societies, MDPI, vol. 13(8), pages 1-18, August.
    • Handle: RePEc:gam:jsoctx:v:13:y:2023:i:8:p:196-:d:1221959
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2075-4698/13/8/196/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2075-4698/13/8/196/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chris Stokel-Walker, 2023. "ChatGPT listed as author on research papers: many scientists disapprove," Nature, Nature, vol. 613(7945), pages 620-621, January.
    2. Tyna Eloundou & Sam Manning & Pamela Mishkin & Daniel Rock, 2023. "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," Papers 2303.10130, arXiv.org, revised Aug 2023.
    3. Chokri Kooli, 2023. "Chatbots in Education and Research: A Critical Examination of Ethical Implications and Solutions," Sustainability, MDPI, vol. 15(7), pages 1-15, March.
    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. Carlos Alexandre Gouvea da Silva & Felipe Negrelle Ramos & Rafael Veiga de Moraes & Edson Leonardo dos Santos, 2024. "ChatGPT: Challenges and Benefits in Software Programming for Higher Education," Sustainability, MDPI, vol. 16(3), pages 1-23, February.

    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. Jörg Garrel & Jana Mayer, 2023. "Artificial Intelligence in studies—use of ChatGPT and AI-based tools among students in Germany," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
    2. Carvajal, Daniel & Franco, Catalina & Isaksson, Siri, 2024. "Will Artificial Intelligence Get in the Way of Achieving Gender Equality?," Discussion Paper Series in Economics 3/2024, Norwegian School of Economics, Department of Economics.
    3. Evangelos Katsamakas & Oleg V. Pavlov & Ryan Saklad, 2024. "Artificial intelligence and the transformation of higher education institutions," Papers 2402.08143, arXiv.org.
    4. Yang Shen, 2024. "Future jobs: analyzing the impact of artificial intelligence on employment and its mechanisms," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-33, April.
    5. Jai Vipra & Anton Korinek, 2023. "Market Concentration Implications of Foundation Models," Papers 2311.01550, arXiv.org.
    6. Arpan Kumar Kar & P. S. Varsha & Shivakami Rajan, 2023. "Unravelling the Impact of Generative Artificial Intelligence (GAI) in Industrial Applications: A Review of Scientific and Grey Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(4), pages 659-689, December.
    7. 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.
    8. Amali Matharaarachchi & Wishmitha Mendis & Kanishka Randunu & Daswin De Silva & Gihan Gamage & Harsha Moraliyage & Nishan Mills & Andrew Jennings, 2024. "Optimizing Generative AI Chatbots for Net-Zero Emissions Energy Internet-of-Things Infrastructure," Energies, MDPI, vol. 17(8), pages 1-19, April.
    9. Anna Davies & Betsy Donald & Mia Gray, 2023. "The power of platforms—precarity and place," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 16(2), pages 245-256.
    10. Alin ZAMFIROIU & Denisa VASILE & Daniel SAVU, 2023. "ChatGPT – A Systematic Review of Published Research Papers," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 27(1), pages 5-16.
    11. Samir Huseynov, 2023. "ChatGPT and the Labor Market: Unraveling the Effect of AI Discussions on Students' Earnings Expectations," Papers 2305.11900, arXiv.org, revised Aug 2023.
    12. Pawe{l} Niszczota & Paul Conway, 2023. "Judgments of research co-created by generative AI: experimental evidence," Papers 2305.11873, arXiv.org.
    13. Stefan Voß, 2023. "Bus Bunching and Bus Bridging: What Can We Learn from Generative AI Tools like ChatGPT?," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    14. Amina Badreddine & Hadjira Larbi Cherif, 2023. "ChatGPT in Academic Research: Demonstrating Limitations through Real Practical Examples," Post-Print hal-04379581, HAL.
    15. Dario Guarascio & Jelena Reljic & Roman Stollinger, 2023. "Artificial Intelligence and Employment: A Look into the Crystal Ball," LEM Papers Series 2023/34, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    16. Kreitmeir, David & Raschky, Paul Anton, 2023. "The Unintended Consequences of Censoring Digital Technology - Evidence from Italy's ChatGPT Ban," SocArXiv v3cgs, Center for Open Science.
    17. Jin Liu & Xingchen Xu & Yongjun Li & Yong Tan, 2023. ""Generate" the Future of Work through AI: Empirical Evidence from Online Labor Markets," Papers 2308.05201, arXiv.org.
    18. Dandan Qiao & Huaxia Rui & Qian Xiong, 2023. "AI and Jobs: Has the Inflection Point Arrived? Evidence from an Online Labor Platform," Papers 2312.04180, arXiv.org.
    19. Shun Yiu & Rob Seamans & Manav Raj & Ted Liu, 2024. "Strategic Responses to Technological Change: Evidence from ChatGPT and Upwork," Papers 2403.15262, arXiv.org, revised Apr 2024.
    20. Thomas Cantens, 2023. "How will the State think with the assistance of ChatGPT? The case of customs as an example of generative artificial intelligence in public administrations," CERDI Working papers hal-04233370, HAL.

    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:gam:jsoctx:v:13:y:2023:i:8:p:196-:d:1221959. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.