Optimisation of business communication training in English using an artificial intelligence tool for text sentiment analysis

Importance. Artificial Intelligence (AI) is rapidly permeating all areas of professional activity, leading to increased demands for digital skills among specialists. One of the ways to prepare competitive personnel should be the integration of AI tools into the educational process. The aim of this research is to analyse the advantages of implementing the AI Email Tone Analyzer tool for the development of professional communication competencies among students in the field of business communication in English. In the context of rapid digital progress and the growing volume of communication via electronic means, it is essential not only to be able to articulate thoughts but also to correctly interpret the tone and emotional nuance of messages.Materials and Methods. Analysis of scientific literature related to the topic, comparison and summarisation of empirical data, as well as conducting an experiment. The materials for the research included business letters published on the 101 Business Letter website, as well as letters written by master’s students from the language faculty. The participants in the experiment consisted of 50 first and second-year students enrolled in the full-time Master’s programme (field 44.04.01 “Pedagogical Education”, profile “Foreign Languages in the Context of Contemporary Culture”). The experiment is conducted as part of the course “Business Foreign Language” at the Pedagogical Institute of Saratov State University named after N.G. Chernyshevsky.Results and Discussion. It has been proven that the use of the AI tool AI Email Tone Analyzer significantly enhances students’ proficiency in professional communication skills. The average number of errors in business correspondence has decreased by 42 %, while the average time taken to prepare letters has reduced by 7 minutes. Qualitative analysis also revealed an increase in students’ confidence in their skills and competencies – 66 % of students reported a reduction in anxiety level when writing business emails in English due to automated feedback. Furthermore, there was a significant increase in students’ engagement in the learning process – 78 % of respondents emphasized that they began to participate more frequently and willingly in written assignments and discussions in English after the implementation of this AI tool. 82 % of students started to consult their teacher less often when writing business emails, preferring to analyze the text with the help of artificial intelligence first indicating a rise in autonomy. In terms of communication processes, 100 % of students noted a marked increase in satisfaction with communication and a reduction in misunderstandings between business partners or interlocutors thanks to the tone adjustments made by the AI Email Tone Analyzer.Conclusion. The conducted research has led to the following key conclusions: the AI Email Tone Analyzer assists students in better recognising and adapting the tone of their messages according to the audience and situation, which promotes more effective communication; the use of the tool enables students to receive immediate feedback on how their messages may be perceived, fostering the development of critical thinking and self-reflection. The prospects for further research appear to lie in a more detailed analysis of the capabilities of the AI tool, the expansion of its application scope, including its integration into the process of learning foreign languages, as well as the examination of the impact of new technologies on organizational processes and behaviour.

business correspondence, tone, artificial intelligence technologies, English language, digitalisation, professional communicative competencies