Navigating Grammatical Errors Among Filipino Tertiary Students: Implication for Linguistic Competence

Abstract This study investigates common grammatical errors impacting the English proficiency of Filipino tertiary students enrolled in an education program with a major in English. Employing a descriptive-quantitative approach and non-experimental design, it analyzes the frequency of errors and uses correlational analysis to examine relationships between grammar test scores and overall English proficiency. Results indicate an average competency level of 3.38, suggesting intermediate proficiency overall, with fourth-year students achieving a mean score of 4.37, nearing native proficiency. Common errors include word order, phrasing, redundancy, verb tense, subject-verb agreement, and article usage. A moderate negative correlation (-0.5318) between grammar proficiency and overall language competence suggests that higher grammar scores may not equate to superior language ability. Grammar proficiency explains 28.28% of the variance in language competence (p = 0.00249), emphasizing its significance. The study underscores the need for an enhanced curriculum focusing on targeted grammar instruction, a balanced Language Skills Approach, progressive course materials, formative assessments, and personalized feedback to address these challenges. Keywords: Common Grammatical Error, Descriptive-quantitative Approach, Error Analysis Theory, and Interlanguage Theory

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-08
DOI
https://doi.org/10.5281/zenodo.13265038
Citations
1
Primary Topic
EFL/ESL Teaching and Learning
Type
article
Field-Weighted Citation Impact
2.78
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Navigating Grammatical Errors Among Filipino Tertiary Students: Implication for Linguistic Competence

1 citations
Zenodo (CERN European Organization for Nuclear Research)
EFL/ESL Teaching and Learning
2.78
article

Navigating Grammatical Errors Among Filipino Tertiary Students: Implication for Linguistic Competence

article en
1 citations

Abstract

Abstract This study investigates common grammatical errors impacting the English proficiency of Filipino tertiary students enrolled in an education program with a major in English. Employing a descriptive-quantitative approach and non-experimental design, it analyzes the frequency of errors and uses correlational analysis to examine relationships between grammar test scores and overall English proficiency. Results indicate an average competency level of 3.38, suggesting intermediate proficiency overall, with fourth-year students achieving a mean score of 4.37, nearing native proficiency. Common errors include word order, phrasing, redundancy, verb tense, subject-verb agreement, and article usage. A moderate negative correlation (-0.5318) between grammar proficiency and overall language competence suggests that higher grammar scores may not equate to superior language ability. Grammar proficiency explains 28.28% of the variance in language competence (p = 0.00249), emphasizing its significance. The study underscores the need for an enhanced curriculum focusing on targeted grammar instruction, a balanced Language Skills Approach, progressive course materials, formative assessments, and personalized feedback to address these challenges. Keywords: Common Grammatical Error, Descriptive-quantitative Approach, Error Analysis Theory, and Interlanguage Theory

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 6%
EFL/ESL Teaching and Learning
2.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.