Four versions of science and history texts were tailored to diverse hypothetical reader profiles (high and low reading skills and domain knowledge), generated by four Large Language Models (i.e., Claude, Llama, ChatGPT, and Gemini). The Natural Language Processing (NLP) technique was applied to examine variations in Large Language Model (LLM) text…

Despite the progress in information technology, artificial intelligence as well as all kinds of machine translation software, we found that to dynamically capture the essence and the spirit of the cultural item, one needs to resort to the human mind rather than to the machine that only decodes words away from their shades of meaning. The objective…

This article offers a rigorous and forward-looking examination of contemporary research directions and transformative trends within the fields of TESOL (Teaching English to Speakers of Other Languages) and TEFL (Teaching English as a Foreign Language). Positioned at the intersection of rapidly evolving technologies, innovative pedagogies, and…

Academic discourse communities and learning circles are characterized by collaboration, sharing commonalities in terms of social interactions and language. The discourse of these communities is composed of jargon, common terminologies, and similarities in how they construe and communicate meaning. This study examines the extent to which discourse…