The performance of artificial intelligence in the exams of tourist guidance

Abdullah Ülkü

doi:10.31822/jomat.2024-9-3-231

EN

The performance of artificial intelligence in the exams of tourist guidance

Abstract

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.

Keywords

Artificial intelligence, Large language models (LLMs), Tourism education, Tourist guidance, Exam

Ethical Statement

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

References

Abduljabbar, R., Dia, H., Liyanage, S., & Bagloee, S. A. (2019). Applications of artificial intelligence in transport: an overview. Sustainability, 11(1), 189. https://doi.org/10.3390/su11010189
Agarwal, S., Agarwal, B., & Gupta, R. (2022). Chatbots and virtual assistants: A bibliometric analysis. Library Hi Tech, 40(4), 1013–1030. https://doi.org/10.1108/LHT-09-2021-0330
Alawida, M., Mejri, S., Mehmood, A., Chikhaoui, B., & Isaac Abiodun, O. (2023). A comprehensive study of chatgpt: Advancements, limitations, and ethical considerations in natural language processing and cybersecurity. Information, 14(8), 462. https://doi.org/10.3390/info14080462
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
Ali, K., Barhom, N., Marino, F. T., & Duggal, M. (2023). The thrills and chills of ChatGPT: Implications for assessments in undergraduate dental education [Preprint]. MEDICINE & PHARMACOLOGY. https://doi.org/10.20944/preprints202302.0513.v1
Athavale, A., Baier, J., Ross, E., & Fukaya, E. (2023). The potential of chatbots in chronic venous disease patient management. JVS-Vascular Insights, 100019. https://doi.org/10.1016/j.jvsvi.2023.100019
Atlas, S. (2023). ChatGPT for higher education and professional development: A guide to conversational AI. College of Business Faculty Publications. https://digitalcommons.uri.edu/cba_facpubs/548
Aydın, Ö., & Karaarslan, E. (2023). Is ChatGPT leading generative AI? What is beyond expectations? SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4341500
Barrot, J. S. (2023). Using ChatGPT for second language writing: Pitfalls and potentials. Assessing Writing, 57, 100745. https://doi.org/10.1016/j.asw.2023.100745
Bommarito II, M., & Katz, D. M. (2022). GPT Takes the Bar Exam. arXiv. http://arxiv.org/abs/2212.14402

Cao, Y., & Zhai, J. (2023). Bridging the gap – the impact of ChatGPT on financial research. Journal of Chinese Economic and Business Studies, 21(2), 177–191. https://doi.org/10.1080/14765284.2023.2212434
Chang, C.-Y., Kuo, S.-Y., & Hwang, G.-H. (2022). Chatbot-facilitated nursing education: Incorporating a knowledge-based chatbot system into a nursing training program. Educational Technology & Society, 25(1), 15-27.
Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018). Artificial Intelligence trends in education: A narrative overview. Procedia Computer Science, 136, 16–24. https://doi.org/10.1016/j.procs.2018.08.233
Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in education: A Review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
Choi, J. H., Hickman, K. E., Monahan, A., & Schwarcz, D. B. (2023). ChatGPT Goes to law school. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4335905
Chui, K. T., Lytras, M. D., & Visvizi, A. (2018). Energy sustainability in smart cities: Artificial intelligence, smart monitoring, and optimization of energy consumption. Energies, 11(11), 2869. https://doi.org/10.3390/en11112869
Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education, 20(1), 22. https://doi.org/10.1186/s41239-023-00392-8
Currie, G., Singh, C., Nelson, T., Nabasenja, C., Al-Hayek, Y., & Spuur, K. (2023). ChatGPT in medical imaging higher education. Radiography, 29(4), 792–799. https://doi.org/10.1016/j.radi.2023.05.011
Dalalah, D., & Dalalah, O. M. A. (2023). The false positives and false negatives of generative AI detection tools in education and academic research: The case of ChatGPT. The International Journal of Management Education, 21(2), 100822. https://doi.org/10.1016/j.ijme.2023.100822
Dias, J., Kamdi, D., Gharat, N., & Chudhari, P. (2019). Chatbot for government examination using AI. Journal of Engineering, 9(4).
Dinesh, A., Kamal, B., Akash, M., & Surthik, K. R. (2023). Implementation of artificial intelligence to the prediction of the mechanical properties of concrete: A review. Materials Today: Proceedings, S221478532302727X. https://doi.org/10.1016/j.matpr.2023.05.101
Doborjeh, Z., Hemmington, N., Doborjeh, M., & Kasabov, N. (2022). Artificial intelligence: A systematic review of methods and applications in hospitality and tourism. International Journal of Contemporary Hospitality Management, 34(3), 1154–1176. https://doi.org/10.1108/IJCHM-06-2021-0767
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., … Wright, R. (2023). Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
Essel, H. B., Vlachopoulos, D., Tachie-Menson, A., Johnson, E. E., & Baah, P. K. (2022). The impact of a virtual teaching assistant (chatbot) on students’ learning in Ghanaian higher education. International Journal of Educational Technology in Higher Education, 19(1), 57. https://doi.org/10.1186/s41239-022-00362-6
Fijacko, N., Gosak, L., Štiglic, G., Picard, C. T., & John Douma, M. (2023). Can ChatGPT pass the life support exams without entering the American heart association course? Resuscitation, 185, 109732. https://doi.org/10.1016/j.resuscitation.2023.109732
Geerling, W., Mateer, G. D., Wooten, J., & Damodaran, N. (2023). ChatGPT has mastered the principles of economics: Now What? SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4356034
Ghosh, A., Maini Jindal, N., Gupta, V. K., Bansal, E., Kaur Bajwa, N., & Sett, A. (2023). Is ChatGPT’s knowledge and ınterpretative ability comparable to first professional mbbs (bachelor of medicine, bachelor of surgery) students of ındia in taking a medical biochemistry examination? Cureus. https://doi.org/10.7759/cureus.47329
Giannos, P., & Delardas, O. (2023). Performance of ChatGPT on UK standardized admission tests: Insights from the BMAT, TMUA, LNAT, and TSA Examinations. JMIR Medical Education, 9, e47737. https://doi.org/10.2196/47737
Gilson, A., Safranek, C., Huang, T., Socrates, V., Chi, L., Taylor, R. A., & Chartash, D. (2022). How does chatgpt perform on the medical licensing exams? the ımplications of large language models for medical education and knowledge assessment [Preprint]. Medical Education. https://doi.org/10.1101/2022.12.23.22283901
Gimpel, H., Hall, K., Decker, S., Eymann, T., Lämmermann, L., Mädche, A., Röglinger, M., Ruiner, C., Schoch, M., Schoop, M., Urbach, N., & Vandirk, S. (2023). Unlocking the power of generative aı models and systems such as gpt-4 and chatgpt for higher education. Hohenheim Discussion Papers in Business, Economics and Social Sciences. https://doi.org/10.13140/RG.2.2.20710.09287/2
Hartmann, J., Schwenzow, J., & Witte, M. (2023). The political ideology of conversational AI: Converging evidence on ChatGPT’s pro-environmental, left-libertarian orientation. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4316084
Ho, W. L. J., Koussayer, B., & Sujka, J. (2023). ChatGPT: Friend or foe in medical writing? An example of how ChatGPT can be utilized in writing case reports. Surgery in Practice and Science, 14, 100185. https://doi.org/10.1016/j.sipas.2023.100185
Iqbal, M. Z., & Faiz, M. F. I. (2020). Active surveillance for Covıd-19 through artificial intelligence using real-time speech-recognition mobile application. 2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan), 1–2. https://doi.org/10.1109/ICCE-Taiwan49838.2020.9258276
Ivanov, S., & Soliman, M. (2023). Game of algorithms: ChatGPT implications for the future of tourism education and research. Journal of Tourism Futures, 9(2), 214–221. https://doi.org/10.1108/JTF-02-2023-0038
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
Kooli, C. (2023). Chatbots in education and research: A critical examination of ethical implications and solutions. Sustainability, 15(7), 5614. https://doi.org/10.3390/su15075614
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
Kung, T. H., Cheatham, M., Medenilla, A., Sillos, C., De Leon, L., Elepaño, C., Madriaga, M., Aggabao, R., Diaz-Candido, G., Maningo, J., & Tseng, V. (2023). Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models. PLOS Digital Health, 2(2), e0000198. https://doi.org/10.1371/journal.pdig.0000198
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
Lee, D., & Yoon, S. N. (2021). Application of artificial ıntelligence-based technologies in the healthcare industry: Opportunities and Challenges. International Journal of Environmental Research and Public Health, 18(1), 271. https://doi.org/10.3390/ijerph18010271
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
Michalon, B., & Camacho-Zuñiga, C. (2023). ChatGPT, a brand-new tool to strengthen timeless competencies. Frontiers in Education, 8, 1251163. https://doi.org/10.3389/feduc.2023.1251163
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
Newton, P. M., & Xiromeriti, M. (2023). Chatgpt performance on mcq exams in higher education. a pragmatic scoping review [Preprint]. EdArXiv. https://doi.org/10.35542/osf.io/sytu3
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
OpenAI. (n.d.). GPT-4. OpenAI Research. https://openai.com/research/gpt-4
OpenAIb. (n.d.). About OpenAI. https://openai.com/about
Orden-Mejía, M. A., & Huertas, A. (2022). Tourist interaction and satisfaction with the chatbot evokes pre-visit destination image formation? A case study. Anatolia, 1–15. https://doi.org/10.1080/13032917.2022.2072918
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
Pikhart, M. (2020). Intelligent information processing for language education: The use of artificial intelligence in language learning apps. Procedia Computer Science, 176, 1412–1419. https://doi.org/10.1016/j.procs.2020.09.151
Pursnani, V., Sermet, Y., & Demir, I. (2023). Performance of ChatGPT on the US Fundamentals of Engineering Exam: Comprehensive Assessment of Proficiency and Potential Implications for Professional Environmental Engineering Practice. ArXiv. https://doi.org/10.48550/ARXIV.2304.12198
Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning & Teaching, 6(1). https://doi.org/10.37074/jalt.2023.6.1.9
Short, C. E., & Short, J. C. (2023). The artificially intelligent entrepreneur: ChatGPT, prompt engineering, and entrepreneurial rhetoric creation. Journal of Business Venturing Insights, 19, e00388. https://doi.org/10.1016/j.jbvi.2023.e00388
Singh, S. V., & Hiran, K. K. (2022). The Impact of AI on Teaching and learning in higher education technology. Journal of Higher Education Theory and Practice, 22(13). https://doi.org/10.33423/jhetp.v22i13.5514
Skavronskaya, L., Hadinejad, A. (Hana), & Cotterell, D. (2023). Reversing the threat of artificial intelligence to opportunity: A discussion of ChatGPT in tourism education. Journal of Teaching in Travel & Tourism, 23(2), 253–258. https://doi.org/10.1080/15313220.2023.2196658
Smutny, P., & Schreiberova, P. (2020). Chatbots for learning: A review of educational chatbots for the Facebook Messenger. Computers & Education, 151, 103862. https://doi.org/10.1016/j.compedu.2020.103862
Su, Y., Lin, Y., & Lai, C. (2023). Collaborating with ChatGPT in argumentative writing classrooms. Assessing Writing, 57, 100752. https://doi.org/10.1016/j.asw.2023.100752
Susnjak, T. (2022). ChatGPT: The End of Online Exam Integrity? (arXiv:2212.09292). arXiv. http://arxiv.org/abs/2212.09292
Tsaur, S.-H., & Teng, H.-Y. (2017). Exploring tour guiding styles: The perspective of tour leader roles. Tourism Management, 59, 438–448. https://doi.org/10.1016/j.tourman.2016.09.005
TUREB. (n.d.-a). Şanlıurfa Regional Certificate Program General Culture Exam Questions. https://www.tureb.org.tr/tr/Page/Detail/93
TUREB. (n.d.-b). Trabzon Regional Certificate Program General Culture Exam Questions. https://www.tureb.org.tr/tr/Page/Detail/92
Tyson, M. M., & Sauers, N. J. (2021). School leaders’ adoption and implementation of artificial intelligence. Journal of Educational Administration, 59(3), 271–285. https://doi.org/10.1108/JEA-10-2020-0221
Vasconcelos, M. A. R., & Dos Santos, R. P. (2023). Enhancing STEM learning with ChatGPT and Bing Chat as objects to think with: A case study. Eurasia Journal of Mathematics, Science and Technology Education, 19(7), em2296. https://doi.org/10.29333/ejmste/13313
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
Wang, C., Li, Y., Fu, W., & Jin, J. (2023). Whether to trust chatbots: Applying the event-related approach to understand consumers’ emotional experiences in interactions with chatbots in e-commerce. Journal of Retailing and Consumer Services, 73, 103325. https://doi.org/10.1016/j.jretconser.2023.103325
Wang, F., Wong, W.-K., Reivan Ortiz, G. G., Shraah, A. A., Mabrouk, F., Li, J., & Li, Z. (2023). Economic analysis of sustainable exports value addition through natural resource management and artificial intelligence. Resources Policy, 82, 103541. https://doi.org/10.1016/j.resourpol.2023.103541
Xu, Y., Niu, N., & Zhao, Z. (2023). Dissecting the mixed effects of human-customer service chatbot interaction on customer satisfaction: An explanation from temporal and conversational cues. Journal of Retailing and Consumer Services, 74, 103417. https://doi.org/10.1016/j.jretconser.2023.103417
Zaitsu, W., & Jin, M. (2023). Distinguishing ChatGPT(-3.5, -4)-generated and human-written papers through Japanese stylometric analysis.
Zhang, C., & Lu, Y. (2021). Study on artificial intelligence: The state of the art and future prospects. Journal of Industrial Information Integration, 23, 100224. https://doi.org/10.1016/j.jii.2021.100224
Zhu, D., & Xu, H. (2021). Guides’ handling of multiple roles in interactions with tourists: The prism of impression management. Tourism Management, 85, 104306. https://doi.org/10.1016/j.tourman.2021.104306

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Abdullah Ülkü ^*
0000-0002-0937-2252
Türkiye

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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

AMA

1.Ülkü A. The performance of artificial intelligence in the exams of tourist guidance. Jomat. 2024;9(3):231-243. doi:10.31822/jomat.2024-9-3-231

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Ülkü, Abdullah. 2024. “The Performance of Artificial Intelligence in the Exams of Tourist Guidance”. Journal of Multidisciplinary Academic Tourism 9 (3): 231-43. https://doi.org/10.31822/jomat.2024-9-3-231.

EndNote

Ülkü A (December 1, 2024) The performance of artificial intelligence in the exams of tourist guidance. Journal of Multidisciplinary Academic Tourism 9 3 231–243.

IEEE

[1]A. Ülkü, “The performance of artificial intelligence in the exams of tourist guidance”, Jomat, vol. 9, no. 3, pp. 231–243, Dec. 2024, doi: 10.31822/jomat.2024-9-3-231.

ISNAD

Ülkü, Abdullah. “The Performance of Artificial Intelligence in the Exams of Tourist Guidance”. Journal of Multidisciplinary Academic Tourism 9/3 (December 1, 2024): 231-243. https://doi.org/10.31822/jomat.2024-9-3-231.

JAMA

1.Ülkü A. The performance of artificial intelligence in the exams of tourist guidance. Jomat. 2024;9:231–243.

MLA

Ülkü, Abdullah. “The Performance of Artificial Intelligence in the Exams of Tourist Guidance”. Journal of Multidisciplinary Academic Tourism, vol. 9, no. 3, Dec. 2024, pp. 231-43, doi:10.31822/jomat.2024-9-3-231.

Vancouver

1.Abdullah Ülkü. The performance of artificial intelligence in the exams of tourist guidance. Jomat. 2024 Dec. 1;9(3):231-43. doi:10.31822/jomat.2024-9-3-231

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The performance of artificial intelligence in the exams of tourist guidance

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