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The performance of artificial intelligence in the exams of tourist guidance

Yıl 2024, Cilt: 9 Sayı: 3, 231 - 243
https://doi.org/10.31822/jomat.2024-9-3-231

Öz

The aim of this study is to evaluate the efficiency of ChatGPT versions 3.5 and 4 for training tourist guides. The study followed a systematic approach by conducting assessments on undergraduate students from three institutions who are enrolled in tourist guide education programs and both ChatGPT versions. Competent academicians assessed a succession of questions in the form of open-ended and multiple-choice questions. The mean scores obtained on the multiple-choice test for ChatGPT-4 were better than those of both ChatGPT-3.5 and college students, thereby indicating that ChatGPT-4 has greatly improved. Nevertheless, when responding to open-ended queries, individuals with real-life experience as tour guides gave much more inclusive as well as convincing answers compared to ChatGPT-4. This underscores the importance of hands-on experiences in training tour guides, where AI technology is currently weak. This study contributes to better comprehension regarding the role played by artificial intelligence (AI) in education with reference to the tourism industry specifically. While at the same time emphasizing how critical human expertise is needed during practical learning sessions, this implies that AI has potential for disseminating theoretical knowledge. The results suggest that AI is a beneficial supplementary aid in educational environments, rather than a replacement for human-centered instructional approaches.



Etik Beyan

This article was approved by the ethics committee of Harran University. Number of ethics committee approval report: No. 2023/151.

Kaynakça

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Yıl 2024, Cilt: 9 Sayı: 3, 231 - 243
https://doi.org/10.31822/jomat.2024-9-3-231

Öz

Kaynakça

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  • Alazaizeh, M. M., Jamaliah, M. M., Mgonja, J. T., & Ababneh, A. (2019). Tour guide performance and sustainable visitor behavior at cultural heritage sites. Journal of Sustainable Tourism, 27(11), 1708–1724. https://doi.org/10.1080/09669582.2019.1658766
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  • Jenneboer, L., Herrando, C., & Constantinides, E. (2022). The impact of chatbots on customer loyalty: a systematic literature review. Journal of Theoretical and Applied Electronic Commerce Research, 17(1), 212–229. https://doi.org/10.3390/jtaer17010011
  • Jin, J. Q., & Dobry, A. S. (2023). ChatGPT for healthcare providers and patients: Practical implications within dermatology. Journal of the American Academy of Dermatology, S0190962223011064. https://doi.org/10.1016/j.jaad.2023.05.081
  • Keiper, M. C., Fried, G., Lupinek, J., & Nordstrom, H. (2023). Artificial intelligence in sport management education: Playing the AI game with ChatGPT. Journal of Hospitality, Leisure, Sport & Tourism Education, 33, 100456. https://doi.org/10.1016/j.jhlste.2023.100456
  • Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. RELC Journal, 003368822311628. https://doi.org/10.1177/00336882231162868
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  • Kortemeyer, G. (2023). Could an Artificial-Intelligence agent pass an introductory physics course? Physical Review Physics Education Research, 19(1), 010132. https://doi.org/10.1103/PhysRevPhysEducRes.19.010132
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  • Kutyauripo, I., Rushambwa, M., & Chiwazi, L. (2023). Artificial intelligence applications in the agrifood sectors. Journal of Agriculture and Food Research, 11, 100502. https://doi.org/10.1016/j.jafr.2023.100502
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  • Leiter, C., Zhang, R., Chen, Y., Belouadi, J., Larionov, D., Fresen, V., & Eger, S. (2023). ChatGPT: A Meta-Analysis after 2.5 Months. arXiv. http://arxiv.org/abs/2302.13795
  • Leung, X. Y., & Wen, H. (2020). Chatbot usage in restaurant takeout orders: A comparison study of three ordering methods. Journal of Hospitality and Tourism Management, 45, 377–386. https://doi.org/10.1016/j.jhtm.2020.09.004
  • Li, L. (2023). Role of chatbots on gastroenterology: Let’s chat about the future. Gastroenterology & Endoscopy, S2949752323000341. https://doi.org/10.1016/j.gande.2023.06.002
  • Li, M., & Wang, R. (2023). Chatbots in e-commerce: The effect of chatbot language style on customers’ continuance usage intention and attitude toward brand. Journal of Retailing and Consumer Services, 71, 103209. https://doi.org/10.1016/j.jretconser.2022.103209
  • Li, W., Wang, J., Yan, Y., Yuan, P., Cao, C., Li, S., & Wu, Q. (2023). Potential applications of ChatGPT in endoscopy: Opportunities and limitations. Gastroenterology & Endoscopy, S294975232300033X. https://doi.org/10.1016/j.gande.2023.06.001
  • Lin, J. C., Younessi, D. N., Kurapati, S. S., Tang, O. Y., & Scott, I. U. (2023). Comparison of GPT-3.5, GPT-4, and human user performance on a practice ophthalmology written examination. Eye. https://doi.org/10.1038/s41433-023-02564-2
  • Lin, X., Shao, B., & Wang, X. (2022). Employees’ perceptions of chatbots in B2B marketing: Affordances vs. disaffordances. Industrial Marketing Management, 101, 45–56. https://doi.org/10.1016/j.indmarman.2021.11.016
  • Lin, Y., & Yu, Z. (2023). A bibliometric analysis of artificial intelligence chatbots in educational contexts. Interactive Technology and Smart Education. https://doi.org/10.1108/ITSE-12-2022-0165
  • Luo, B., Lau, R. Y. K., & Li, C. (2023). Emotion-regulatory chatbots for enhancing consumer servicing: An interpersonal emotion management approach. Information & Management, 60(5), 103794. https://doi.org/10.1016/j.im.2023.103794
  • Ma, Y. (2023). The potential application of ChatGPT in gastrointestinal pathology. Gastroenterology & Endoscopy, 1(3), 130–131. https://doi.org/10.1016/j.gande.2023.05.002
  • Melián-González, S., Gutiérrez-Taño, D., & Bulchand-Gidumal, J. (2021). Predicting the intentions to use chatbots for travel and tourism. Current Issues in Tourism, 24(2), 192–210. https://doi.org/10.1080/13683500.2019.1706457
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  • Naser, M. Z., Ross, B., Ogle, J., Kodur, V., Hawileh, R., Abdalla, J., & Thai, H.-T. (2023). Can AI Chatbots Pass the Fundamentals of Engineering (FE) and Principles and Practice of Engineering (PE) Structural Exams? arXiv. https://doi.org/10.48550/ARXIV.2303.18149
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  • Nunes, D., Primi, R., Pires, R., Lotufo, R., & Nogueira, R. (2023). Evaluating Gpt-3.5 and Gpt-4 models on brazilian university admission exams (arXiv:2303.17003). arXiv. http://arxiv.org/abs/2303.17003
  • Okonkwo, C. W., & Ade-Ibijola, A. (2021). Chatbots applications in education: A systematic review. Computers and Education: Artificial Intelligence, 2, 100033. https://doi.org/10.1016/j.caeai.2021.100033
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  • Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, 100020. https://doi.org/10.1016/j.caeai.2021.100020
  • Owan, V. J., Abang, K. B., Idika, D. O., Etta, E. O., & Bassey, B. A. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. Eurasia Journal of Mathematics, Science and Technology Education, 19(8), em2307. https://doi.org/10.29333/ejmste/13428
  • Parsons, H., Houge Mackenzie, S., & Filep, S. (2019). Facilitating self-development: How tour guides broker spiritual tourist experiences. Tourism Recreation Research, 44(2), 141–152. https://doi.org/10.1080/02508281.2019.1582159
  • Pérez, J. Q., Daradoumis, T., & Puig, J. M. M. (2020). Rediscovering the use of chatbots in education: A systematic literature review. Computer Applications in Engineering Education, 28(6), 1549–1565. https://doi.org/10.1002/cae.22326
  • Peters, M. A., Jackson, L., Papastephanou, M., Jandric, P., Lazaroiu, G., Evers, C. W., Cope, B., Kalantzis, M., Araya, D., Tesar, M., Mika, C., Chen, L., Wang, C., Sturm, S., Rider, S., & Fuller, S. (2023). AI and the future of humanity: ChatGPT-4, philosophy and education – Critical responses. Educational Philosophy and Theory, 1–35. https://doi.org/10.1080/00131857.2023.2213437
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  • Victor, B. G., Kubiak, S., Angell, B., & Perron, B. E. (2023). Time to move beyond the aswb licensing exams: Can generative artificial ıntelligence offer a way forward for social work? Research on Social Work Practice, 33(5), 511–517. https://doi.org/10.1177/10497315231166125
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  • Zaitsu, W., & Jin, M. (2023). Distinguishing ChatGPT(-3.5, -4)-generated and human-written papers through Japanese stylometric analysis.
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Toplam 88 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Turizm (Diğer)
Bölüm Contents
Yazarlar

Abdullah Ülkü 0000-0002-0937-2252

Erken Görünüm Tarihi 28 Haziran 2024
Yayımlanma Tarihi
Gönderilme Tarihi 12 Ocak 2024
Kabul Tarihi 27 Haziran 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 9 Sayı: 3

Kaynak Göster

APA Ülkü, A. (2024). The performance of artificial intelligence in the exams of tourist guidance. Journal of Multidisciplinary Academic Tourism, 9(3), 231-243. https://doi.org/10.31822/jomat.2024-9-3-231



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