Grammatical and Lexical Density in Narrator Text Writing with Online Learning Platforms

Abstract

The study on grammatical and lexical density in narrator texts aims to assess the level of grammatical and lexical density in these texts and evaluate the effectiveness of online learning platforms in influencing these linguistic features. The analysis revealed an average lexical density of 55.10% across the examined texts, which is above Ure's 40% threshold for written texts but still categorized as less dense for academic writing standards. The narrator texts exhibited characteristics between spoken and written language, aligning with Halliday's theory. The findings indicate that while students demonstrate basic proficiency in writing narrator texts, there is significant room for improvement in using richer and more complex language. The study concludes by emphasizing the need for specialized training and greater focus on developing writing skills within the animation curriculum, particularly in enhancing lexical density and narrative effectiveness. This research contributes to understanding the linguistic complexity of narrator texts in the context of online learning and provides insights for improving writing instruction in animation education.