This study conducts a comprehensive content analysis of the textbook titled "Everyday English for Hospitality Professionals". Through the lens of textbook evaluation, the research aims to assess the effectiveness and suitability of the content in meeting the learning needs of professionals in the hospitality industry. Utilizing established criteria, the analysis scrutinizes the relevance, clarity, and practicality of the material, particularly in facilitating language skill development tailored to the demands of the hospitality profession. The findings of this study offer valuable insights for curriculum development and instructional material selection, contributing to the enhancement of English language learning experiences for hospitality professionals.

ChatGPT has attracted considerable media and academic attention as one of the latest developments. It has the ability to generate answers to questions and perform other language-related tasks with exceptional accuracy. This is due to its extensive training set, which closely resembles human-produced texts. Many researchers consider ChatGPT to be an interesting tool for improving students' language and knowledge skills, as well as their problem-solving and communication skills. The study discussed some perceptions of the merits of ChatGPT on English student with each representative answering or filling a questionnaire containing their views or responses to ChatGPT conversations using a quantitative descriptive method. It is hoped that the study can learn how English education students feel using small talk, whether it is having a good effect on their performance or whether it is adversely affecting their performance in college. The results of correlation analysis show patterns of relationships between different variables. There is no linear relationship between the level of agree and strongly disagree, but there is a strong and negative correlation between the level of disagree and strongly agree. meanwhile, a strong positive relationship was observed between neutral and strongly disagree levels.