This work is licensed under the Creative Commons Attribution 4.0 International License.
Daniel, A. D., Costa, R. A., Pita, M., & Costa, C. (2017). Tourism Education: What about entrepreneurial skills?. Journal of Hospitality and Tourism Management, 30, 65-72.Search in Google Scholar
Li, Y., Hu, C., Huang, C., & Duan, L. (2017). The concept of smart tourism in the context of tourism information services. Tourism management, 58, 293-300.Search in Google Scholar
Lertchalermtipakoon, P., Wongsubun, U., & Kawinkoonlasate, P. (2021). Need Analysis: English Language Use by Students in the Tourism and Hospitality and Industry. English Language Teaching, 14(3), 59-71.Search in Google Scholar
Afraz, S., & Alipour, A. (2017). The Impact of English speaking proficiency of hotel’s staff on attacting tourists in Qeshm Island. Journal of Tourism Hospitality Research, 5(2), 59-73.Search in Google Scholar
Liu, X. R. (2019, February). Research on the model of foreign tourism talents training based on market demand. In Proceedings of 2019 5th International Workshop on Education, Development and Social Sciences (IWEDSS 2019), Tokyo (Vol. 22, pp. 132-136).Search in Google Scholar
Riadil, I. G. (2020). A Study of students’ perception: identifying EFL learners’ problems in speaking skill. IJELR: International Journal of Education, Language, and Religion, 2(1), 31-38.Search in Google Scholar
Abugohar, M. A., Al-Hnifat, M. A., Al-Smadi, O. A., Rashid, R. A., & Yunus, K. (2019). English language speaking skill issues in an EMP context: Causes and solutions. International Journal of English Linguistics, 9(3), 211-225.Search in Google Scholar
Sun, Y. (2017). Major trends in the global ELT field: A non-native English-speaking professional’s perspective. Asian-focused ELT research and practice: Voices from the far edge, 17.Search in Google Scholar
Xu, J., & Fan, Y. (2017). The evolution of the college English curriculum in China (1985–2015): Changes, trends and conflicts. Language Policy, 16, 267-289.Search in Google Scholar
Kacetl, J. (2018). English language teaching for students of management of travel and tourism. In SHS Web of Conferences (Vol. 48, p. 01037). EDP Sciences.Search in Google Scholar
Zhai, C., & Wibowo, S. (2023). A systematic review on artificial intelligence dialogue systems for enhancing English as foreign language students’ interactional competence in the university. Computers and Education: Artificial Intelligence, 4, 100134.Search in Google Scholar
Bury, J., & Hair, I. (2022). Using student feedback and teacher reflections to develop courses: case studies in business English and tourism and hospitality English courses. Journal of Teaching English for Specific and Academic Purposes, 351-363.Search in Google Scholar
Lin, Y. H., & Tseng, Y. C. (2020). Learning English in tourism and hospitality internships overseas: reflections from six Taiwanese college students. Int J Eng. Linguistics, 10(1), 10-5539.Search in Google Scholar
Ho, Y. Y. C. (2020). Communicative language teaching and English as a foreign language undergraduates’ communicative competence in Tourism English. Journal of Hospitality, Leisure, Sport & Tourism Education, 27, 100271.Search in Google Scholar
Trippas, J. R., Spina, D., Thomas, P., Sanderson, M., Joho, H., & Cavedon, L. (2020). Towards a model for spoken conversational search. Information Processing & Management, 57(2), 102162.Search in Google Scholar
Feng, H. (2023, December). Study on the Generation of Characteristic Tourism English Spoken Dialogues Based on the Large Language Model. In 2023 IEEE 3rd International Conference on Social Sciences and Intelligence Management (SSIM) (pp. 316-319). IEEE.Search in Google Scholar
Lee, S., Jang, Y., Park, C., Lee, J., Seo, J., Moon, H., ... & Lim, H. S. (2023, July). PEEP-Talk: A Situational Dialogue-based Chatbot for English Education. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) (pp. 190-207).Search in Google Scholar
Wołk, K., Wołk, A., Wnuk, D., Grześ, T., & Skubis, I. (2022). Survey on dialogue systems including slavic languages. Neurocomputing, 477, 62-84.Search in Google Scholar
Saha, T., Srivastava, S., Firdaus, M., Saha, S., Ekbal, A., & Bhattacharyya, P. (2019, July). Exploring machine learning and deep learning frameworks for task-oriented dialogue act classification. In 2019 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.Search in Google Scholar
Deriu, J., Rodrigo, A., Otegi, A., Echegoyen, G., Rosset, S., Agirre, E., & Cieliebak, M. (2021). Survey on evaluation methods for dialogue systems. Artificial Intelligence Review, 54, 755-810.Search in Google Scholar