IDEAS home Printed from https://ideas.repec.org/a/eee/jaitra/v113y2023ics0969699723001266.html
   My bibliography  Save this article

AI-driven assistants for education and research? A case study on ChatGPT for air transport management

Author

Listed:
  • Wandelt, Sebastian
  • Sun, Xiaoqian
  • Zhang, Anming

Abstract

Artificial Intelligence is in the process to transform various parts of the aviation industry, from the reduction of delays and increasing fuel efficiency to better demand prediction models. The latest kid on the block is ChatGPT, a large language model developed by OpenAI, which has made into the news for its mind-blowing ability to create textual content in any structured language. Doing so, ChatGPT has the potential to revolutionize the way we communicate with computers, and it could have a lasting impact on aviation education and research. In this study, we investigate the potential of this impact and, the extent to which it has already materialized, based on a set of graduate student surveys and experiments with ChatGPT. The results of our surveys indicate the interest of students in efficient learning, time saving, and improvement in programming/writing skills. Our experiments on terminology explanation, state-of-the-art identification of selected research tasks as well as programming design, highlight the tradeoffs between benefits and potential risks inherent to the usage of ChatGPT and AI-driven assistants in general. Overall, we believe that our study makes a first contribution to evaluating an exciting new technology which has the potential to revolutionize our aviation system.

Suggested Citation

  • Wandelt, Sebastian & Sun, Xiaoqian & Zhang, Anming, 2023. "AI-driven assistants for education and research? A case study on ChatGPT for air transport management," Journal of Air Transport Management, Elsevier, vol. 113(C).
    • Handle: RePEc:eee:jaitra:v:113:y:2023:i:c:s0969699723001266
    DOI: 10.1016/j.jairtraman.2023.102483
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969699723001266
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jairtraman.2023.102483?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rodríguez-Sanz, à lvaro & Fernández de Marcos, Alberto & Pérez-Castán, Javier A. & Comendador, Fernando Gómez & Arnaldo Valdés, Rosa & París Loreiro, à ngel, 2021. "Queue behavioural patterns for passengers at airport terminals: A machine learning approach," Journal of Air Transport Management, Elsevier, vol. 90(C).
    2. Ilic, Aleksandar & Urosevic, Dragan & Brimberg, Jack & Mladenovic, Nenad, 2010. "A general variable neighborhood search for solving the uncapacitated single allocation p-hub median problem," European Journal of Operational Research, Elsevier, vol. 206(2), pages 289-300, October.
    3. Aleksander Aristovnik & Damijana Keržič & Dejan Ravšelj & Nina Tomaževič & Lan Umek, 2020. "Impacts of the COVID-19 Pandemic on Life of Higher Education Students: A Global Perspective," Sustainability, MDPI, vol. 12(20), pages 1-34, October.
    4. Hong, Seock-Jin & Lee, Kang-Seok & Seol, Eun-Suk & Young, Seth, 2016. "Safety perceptions of training pilots based on training institution and experience," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 213-221.
    5. Geursen, Izaak L. & Santos, Bruno F. & Yorke-Smith, Neil, 2023. "Fleet planning under demand and fuel price uncertainty using actor–critic reinforcement learning," Journal of Air Transport Management, Elsevier, vol. 109(C).
    6. Jardines, Aniel & Soler, Manuel & García-Heras, Javier, 2021. "Estimating entry counts and ATFM regulations during adverse weather conditions using machine learning," Journal of Air Transport Management, Elsevier, vol. 95(C).
    7. Yiu, Cho Yin & Ng, Kam K.H. & Yu, Simon C.M. & Yu, Chun Wah, 2022. "Sustaining aviation workforce after the pandemic: Evidence from Hong Kong aviation students toward skills, specialised training, and career prospects through a mixed-method approach," Transport Policy, Elsevier, vol. 128(C), pages 179-192.
    8. Abdelghany, Ahmed & Guzhva, Vitaly S. & Abdelghany, Khaled, 2023. "The limitation of machine-learning based models in predicting airline flight block time," Journal of Air Transport Management, Elsevier, vol. 107(C).
    9. Rajendran, Suchithra & Srinivas, Sharan & Grimshaw, Trenton, 2021. "Predicting demand for air taxi urban aviation services using machine learning algorithms," Journal of Air Transport Management, Elsevier, vol. 92(C).
    10. Miani, Peter & Kille, Tarryn & Lee, Seung-Yong & Zhang, Yahua & Bates, Paul Raymond, 2021. "The impact of the COVID-19 pandemic on current tertiary aviation education and future careers: Students’ perspective," Journal of Air Transport Management, Elsevier, vol. 94(C).
    11. Sun, Xiaoqian & Wandelt, Sebastian & Zhang, Anming, 2021. "Technological and educational challenges towards pandemic-resilient aviation," Transport Policy, Elsevier, vol. 114(C), pages 104-115.
    12. Diana, Tony, 2022. "Using sentiment analysis to reinforce learning: The case of airport community engagement," Journal of Air Transport Management, Elsevier, vol. 102(C).
    13. Wandelt, Sebastian & Shi, Xing & Sun, Xiaoqian, 2021. "Estimation and improvement of transportation network robustness by exploiting communities," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    14. Lucini, Filipe R. & Tonetto, Leandro M. & Fogliatto, Flavio S. & Anzanello, Michel J., 2020. "Text mining approach to explore dimensions of airline customer satisfaction using online customer reviews," Journal of Air Transport Management, Elsevier, vol. 83(C).
    15. Peksatici, Özge & Ergun, Hande Sinem, 2019. "The gap between academy and industry - A qualitative study in Turkish aviation context," Journal of Air Transport Management, Elsevier, vol. 79(C), pages 1-1.
    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. Yiu, Cho Yin & Ng, Kam K.H. & Yu, Simon C.M. & Yu, Chun Wah, 2022. "Sustaining aviation workforce after the pandemic: Evidence from Hong Kong aviation students toward skills, specialised training, and career prospects through a mixed-method approach," Transport Policy, Elsevier, vol. 128(C), pages 179-192.
    2. Sun, Xiaoqian & Wandelt, Sebastian & Zhang, Anming, 2021. "Technological and educational challenges towards pandemic-resilient aviation," Transport Policy, Elsevier, vol. 114(C), pages 104-115.
    3. Robert Tholen & Koen Ponnet & Guido Van Hal & Sara De Bruyn & Veerle Buffel & Sarah Van de Velde & Piet Bracke & Edwin Wouters, 2022. "Substance Use among Belgian Higher Education Students before and during the First Wave of the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(7), pages 1-13, April.
    4. James F. Campbell & Morton E. O'Kelly, 2012. "Twenty-Five Years of Hub Location Research," Transportation Science, INFORMS, vol. 46(2), pages 153-169, May.
    5. Chandra, Aitichya & Verma, Ashish & Sooraj, K.P. & Padhi, Radhakant, 2023. "Modelling and assessment of the arrival and departure process at the terminal area: A case study of Chennai international airport," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
    6. Silvia Mariela Méndez-Prado & Ariel Flores Ulloa, 2022. "The Impact Analysis of Psychological Issues and Pandemic-Related Variables on Ecuadorian University Students during COVID-19," Sustainability, MDPI, vol. 14(20), pages 1-23, October.
    7. Nadia Nandlall & Lisa D. Hawke & Em Hayes & Karleigh Darnay & Mardi Daley & Jacqueline Relihan & Joanna Henderson, 2022. "Learning Through a Pandemic: Youth Experiences With Remote Learning During the COVID-19 Pandemic," SAGE Open, , vol. 12(3), pages 21582440221, September.
    8. Tabea Bork-Hüffer & Vanessa Kulcar & Ferdinand Brielmair & Andrea Markl & Daniel Marian Immer & Barbara Juen & Maria Hildegard Walter & Katja Kaufmann, 2021. "University Students’ Perception, Evaluation, and Spaces of Distance Learning during the COVID-19 Pandemic in Austria: What Can We Learn for Post-Pandemic Educational Futures?," Sustainability, MDPI, vol. 13(14), pages 1-25, July.
    9. Kurmankhojayev, Daniyar & Li, Guoyuan & Chen, Anthony, 2024. "Link criticality index: Refinement, framework extension, and a case study," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    10. Chandra Mahapatra, Subas & Bellamkonda, Raja Shekhar, 2023. "Higher expectations of passengers do really sense: Development and validation a multiple scale-FliQual for air transport service quality," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    11. Rathore, Bhawana & Sengupta, Pooja & Biswas, Baidyanath & Kumar, Ajay, 2024. "Predicting the price of taxicabs using Artificial Intelligence: A hybrid approach based on clustering and ordinal regression models," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    12. Peng, Cheng & Liu, Xiaoqi & Kang, Rui & Wang, Sihan & Gao, Shang, 2023. "Stochastic input-to-state stability for stochastic complex dynamical control networks with impulsive perturbation," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).
    13. Liu, Qiang & Huang, Delong & Zhang, Bin & Tang, Aiping & Xu, Xiuchen, 2024. "Developing a probability-based technique to improve the measurement of landslide vulnerability on regional roads," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    14. Liu, Aijun & Li, Zengxian & Shang, Wen-Long & Ochieng, Washington, 2023. "Performance evaluation model of transportation infrastructure: Perspective of COVID-19," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    15. Li, Siping & Zhou, Yaoming & Kundu, Tanmoy & Sheu, Jiuh-Biing, 2021. "Spatiotemporal variation of the worldwide air transportation network induced by COVID-19 pandemic in 2020," Transport Policy, Elsevier, vol. 111(C), pages 168-184.
    16. Holi Ibrahim Holi Ali & Zulaikha Al-Saadi & Sergio Saleem Scatolini, 2022. "Conceptualizing Graduates Attributes (GAs) in English Language Teacher Education Programs in Oman During the COVID-19 Pandemic," SAGE Open, , vol. 12(3), pages 21582440221, July.
    17. Sook-Fun Fong & Rui-Ying Loh & Sang-Long Choi, 2022. "Marketing Strategies and Customer Satisfaction: A Study on the Higher Education Institutions in Johor," Business and Economic Research, Macrothink Institute, vol. 12(2), pages 61-83, December.
    18. Hong, Seock-Jin & Savoie, Michael & Joiner, Steve & Kincaid, Timothy, 2022. "Analysis of airline employees’ perceptions of corporate preparedness for COVID-19 disruptions to airline operations," Transport Policy, Elsevier, vol. 119(C), pages 45-55.
    19. Meltem Peker & Bahar Y. Kara & James F. Campbell & Sibel A. Alumur, 2016. "Spatial Analysis of Single Allocation Hub Location Problems," Networks and Spatial Economics, Springer, vol. 16(4), pages 1075-1101, December.
    20. Samar Yakoob Almossa & Sahar Matar Alzahrani, 2022. "Assessment practices in Saudi higher education during the COVID-19 pandemic," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-9, December.

    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:eee:jaitra:v:113:y:2023:i:c:s0969699723001266. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/journal-of-air-transport-management/ .

    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.