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Last Tendencies in Acquiring Text Competence in the Field of Tourism. The Case of Chatbots and AI

In: Tourism and ICTs: Advances in Data Science, Artificial Intelligence and Sustainability

Author

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  • María Dolores Fernández Torre Madueño

    (University of Málaga)

Abstract

Our aim is to propose the usage of generative Artificial Intelligence, hereafter AI, while lecturing, as a complement to the traditional methodology, to ease technological skills acquisition in the related AI. Widely spread in all aspects of cultural life and professional praxis worldwide, it is of key importance in the training of our professional to be. In Malaga University’s Degree of Tourism, in subjects dealing with English for tourism management, we shall concentrate on chatbots aided by AI, in order to make a literary review to see the state of the question and to reflect on the needed changes to implement these tools. We shall try to outline the characteristics, possibilities, advantages and disadvantages, and the influence on both students and lecturers alike of the usage of AI in chatbots to deal with outcoming texts. Direct interaction with the tools will be highlighted. Of key importance is training lecturers in the productive use of “prompt engineering”. To conclude, handling specialised texts in the field of tourism by means of chatbots might help lecturers’ awareness and responsibility for right use to obtain semi-specialised and specialised texts in the field of tourism in order to understand, extract and evaluate its pertinence.

Suggested Citation

  • María Dolores Fernández Torre Madueño, 2024. "Last Tendencies in Acquiring Text Competence in the Field of Tourism. The Case of Chatbots and AI," Springer Proceedings in Business and Economics, in: Antonio J. Guevara Plaza & Alfonso Cerezo Medina & Enrique Navarro Jurado (ed.), Tourism and ICTs: Advances in Data Science, Artificial Intelligence and Sustainability, pages 181-191, Springer.
  • Handle: RePEc:spr:prbchp:978-3-031-52607-7_17
    DOI: 10.1007/978-3-031-52607-7_17
    as

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