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

María Dolores Fernández Torre Madueño ()
Additional contact information
María Dolores Fernández Torre Madueño: University of Málaga

A chapter in Tourism and ICTs: Advances in Data Science, Artificial Intelligence and Sustainability, 2024, pp 181-191 from Springer

Abstract: 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.

Keywords: Generative AI; English applied to tourism; Chatbots; Training; Prompt engineering (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-52607-7_17

Ordering information: This item can be ordered from
http://www.springer.com/9783031526077

DOI: 10.1007/978-3-031-52607-7_17

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().