A psycholinguistic analysis of codeswitching between human and machine languages in English cognitive patterns at IT classrooms

In the digital age, code-switching between natural languages and machine languages has introduced a distinct variety of English in IT classrooms. This research examines how programming languages influence English cognitive patterns among IT students, making their speech more algorithmic, precise, and logical. Using observational methods, the study highlights how students frequently blend technical jargon with English, adopt conditional syntactic structures, and exhibit concise communication patterns. The findings indicate that exposure to programming languages significantly shapes students’ linguistic expressions and thought processes, reinforcing the linguistic relativity hypothesis. This paper offers insight into the intersection of technology and linguistics, contributing to the broader discourse on language evolution in the digital era.