SEMANTIC NETWORKS AND CONCEPTUAL CHANGE: A COMPUTATIONAL ANALYSIS OF VOCABULARY ACQUISITION IN ELT
Keywords:
Vocabulary Acquisition, Computational analysis, Semantic Networks, Conceptual Change, English Language Teaching (ELT), Language, LinguisticsAbstract
This study investigates the role of semantic networks and conceptual change in vocabulary acquisition within English
Language Teaching (ELT), leveraging computational tools to analyze and enhance learning processes. Traditional
vocabulary teaching often prioritizes memorization over meaningful connections, neglecting the cognitive
mechanisms that underpin effective language learning. The study adopts a mixed-methods approach, combining
quantitative computational analysis with qualitative insights from classroom applications. The study involves 200
ELT learners from intermediate-level English classes at three different institutions, representing diverse linguistic
and cultural backgrounds. Participants will be divided into two groups: Experimental Group that Learners exposed
to teaching methods informed by semantic network analysis Data Sources were Textbooks, learner-written essays,
and classroom discourse will serve as corpora for analysis Procedure of data analysis was done through Semantic
networks. While acknowledging limitations such as learner variability and the complexity of computational tools, the
study offers significant implications for educators and researchers, paving the way for future studies in vocabulary
acquisition, digital linguistics, and learner-centered pedagogy.

