English Syntax Learning; Student Errors in Analyzing Sentence Structure through Tree Diagrams

This study aims to identify errors that are often made by 5th semester English language students in completing tree diagram assignments, especially in analyzing sentence structures in the Syntax course. The method used in this study is a descriptive qualitative approach, with data analysis techniques in the form of content analysis of 22 students who were divided into 10 groups to work on the task of making tree diagrams from English news texts from various sources. Based on the analysis, several types of main errors were found, namely errors in identifying word categories (168 words), incorrect node labeling (42 node labeling), and incorrect application of phrase structures (11 phrase structures). In addition, students also have difficulty in understanding the hierarchical relationship between syntactic elements, such as the correct placement of determiners and auxiliary verbs. These errors are often caused by a lack of understanding of basic word categories and the underlying syntactic rules. This study reveals that making tree diagrams requires a deep understanding not only of syntactic theory, but also its practical application in everyday sentence analysis. Errors in node labeling and errors in syntactic category identification indicate the need for a more contextual and deeper understanding-based learning approach.

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Publication Details

Journal
IDEAS Journal on English Language Teaching and Learning Linguistics and Literature
Published
2025-02-10
DOI
https://doi.org/10.24256/ideas.v12i2.6223
Citations
1
Primary Topic
English Language Learning and Teaching
Type
article
Field-Weighted Citation Impact
3.25
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article

English Syntax Learning; Student Errors in Analyzing Sentence Structure through Tree Diagrams

Fernando De Napoli Marpaung, Donny Adiatmana Ginting, Yunita Sari Adelina, Rosmen et al.
1 citations
IDEAS Journal on English Language Teaching and Learning Linguistics and Literature
English Language Learning and Teaching
3.25
article

English Syntax Learning; Student Errors in Analyzing Sentence Structure through Tree Diagrams

Fernando De Napoli Marpaung, Donny Adiatmana Ginting, Yunita Sari Adelina, Rosmen, Muhammad Hassan
article en
1 citations

Abstract

This study aims to identify errors that are often made by 5th semester English language students in completing tree diagram assignments, especially in analyzing sentence structures in the Syntax course. The method used in this study is a descriptive qualitative approach, with data analysis techniques in the form of content analysis of 22 students who were divided into 10 groups to work on the task of making tree diagrams from English news texts from various sources. Based on the analysis, several types of main errors were found, namely errors in identifying word categories (168 words), incorrect node labeling (42 node labeling), and incorrect application of phrase structures (11 phrase structures). In addition, students also have difficulty in understanding the hierarchical relationship between syntactic elements, such as the correct placement of determiners and auxiliary verbs. These errors are often caused by a lack of understanding of basic word categories and the underlying syntactic rules. This study reveals that making tree diagrams requires a deep understanding not only of syntactic theory, but also its practical application in everyday sentence analysis. Errors in node labeling and errors in syntactic category identification indicate the need for a more contextual and deeper understanding-based learning approach.

IDEAS Journal on English Language Teaching and Learning Linguistics and LiteratureVol. 12(2)
Department of Education and Training (AU)
Openalex Percentile: Top 10%
English Language Learning and Teaching
3.25
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English Syntax Learning; Student Errors in Analyzing Sentence Structure through Tree Diagrams — Fernando De Napoli Marpaung, Donny Adiatmana Ginting, et al. · IDEAS Journal on English Language Teaching and Learning Linguistics and Literature (2025) | TGRS Research Map | TGRS