TEACHING BUSINESS CORRESPONDENCE: BRIDGING TRADITIONAL METHODS AND ARTIFICIAL INTELLIGENCE TO ENHANCE LEARNING EFFICIENCY AND PROFESSIONAL COMMUNICATION SKILLS

Teaching business correspondence has historically been the core of Business English (BE) and business communication classes for English as a Second Language (ESL) or Foreign Language (EFL) students. Nevertheless, it often appears unappealing to students enrolled in these Business English classes. They frequently question its relevance, given the numerous easier forms of communication available. As a result, traditionally, teaching business correspondence is becoming increasingly challenging. It is difficult to capture and maintain students’ attention when writing formal letters, paying attention to layout, and adhering to the necessary conventions and formulas. The paper aims to explore how AI can be integrated into teaching business correspondence and its potential benefits. The integration of Artificial Intelligence (AI) in the teaching-learning process, particularly in teaching business correspondence, is a powerful approach that reshapes pedagogical methodologies. This paper focuses on the role of AI in enhancing learning efficiency and developing professional communication skills among economics students. Recent advancements in AI technologies, including machine learning, have opened new possibilities for tailored learning experiences. These technologies facilitate instruction that adapts to and meets students’ individual needs, thus improving engagement and comprehension in business correspondence tasks.