Skip to content
Open access

BEYOND SURFACE ERRORS: AN ARTIFICIAL INTELLIGENCE-ASSISTED SYSTEMIC FUNCTIONAL LINGUISTICS APPROACH TO ESL WRITING ASSESSMENT

Jul 2026 · Journal of innovative research and technology · Vol 1, pp. 1-10 · 0 citations

TL;DR

The findings indicate that SFL facilitates a profound comprehension of writing challenges, transcending superficial faults to uncover students' conceptualization and organization of their ideas and reveals more profound insights into student cognition and expression than traditional methodologies.

Abstract

This study examined the use of artificial intelligence (AI) in facilitating the examination of student writing errors through the Systemic Functional Linguistics (SFL) framework. The objective was to create an AI-assisted assessment tool proficient in detecting faults associated with ideational, interpersonal, and linguistic metafunctions in writing. This method was compared to conventional error analysis techniques, emphasizing grammar, vocabulary, and punctuation. A mixed-methods strategy was utilized. A qualitative study investigated the categories and origins of errors, whereas a quantitative analysis documented the prevalence and distribution of these errors. The dataset consisted of 50 argumentative essays written by Pakistani university students studying English as a second language. Each essay varied in length from 200 to 400 words. Errors were initially detected utilizing OpenAI tools (GPT-4o mini model) and subsequently validated manually by SFL expert for precision. A total of 475 errors were detected: 194 (41%) interpersonal errors, 240 (51%) textual errors, and 41 (8%) ideational errors. The findings indicate that SFL facilitates a profound comprehension of writing challenges, transcending superficial faults to uncover students' conceptualization and organization of their ideas. The SFL methodology revealed more profound insights into student cognition and expression than traditional methodologies. This work emphasizes AI's capacity to integrate conventional and functional methods in error analysis. It proposes practical applications for instructors seeking to provide more substantive, formative feedback to enhance students' writing abilities.

Read PDF

Similar papers

Review Open access Aug 2026

Artificial Intelligence Tools in EFL/ESL Academic Writing Instruction: A Systematic Literature Review (2019–2025)

A systematic literature review synthesized primary empirical studies published between 2019 and 2025 and retrieved from Scopus, Web of Science, ERIC, and Google Scholar, and argues that the value of AI tools depends less on the technology itself than on how it is pedagogically mediated.

R. Santika, Rafi Farizki · 0 citations
Open access Aug 2026

Constructing Arguments in EFL Expository Essays: A Transitivity Analysis of the AI-Teacher Replacement Debate

The growing use of artificial intelligence in education has renewed debate over whether teachers can be replaced by machines, a debate that also surfaces in student academic writing. This study examined how a third-semester student in an English Language Education study program in Indonesia linguistically constructed a...

Salsabila, Mansyur Srisudarso, Yuna Tresna Wahyuna · 0 citations
Open access Sep 2026

The Use of AI-Powered Grammarly in Enhancing EFL Prepositions Usage

Despite growing evidence supporting the use of Artificial Intelligence (AI)-powered automated written corrective feedback (AWCF) in English as a Foreign Language (EFL) writing, limited research has examined its effectiveness in learning context-dependent grammatical structures, especially English prepositions. This lon...

Alba Vargas-Saritama, Verónica Espinoza-Celi, Fernando Carrión-Robles · 0 citations
Open access 2026

Corpus-Assisted Analysis of Lexical and Grammatical Features in ESL Students’ Argumentative Essays

Argumentative writing requires ESL learners to balance clear reasoning with precise vocabulary and grammatical accuracy. This multi-layered task remains a major hurdle in language acquisition. While vocabulary and grammar are widely recognised as twin pillars of effective argumentation, research rarely examines how the...

Noor Ain Saufi, Abdul Azim Mahda, Sheela Faizura Nik Fauzi et al. · 0 citations
Review Open access Sep 2026

A Systemic Functional Linguistic Analysis of ChatGPT’s Academic Writing Responses: Metafunctional Patterns and Implications for Writing Pedagogy

Generative artificial intelligence (AI), particularly ChatGPT, is having a significant impact on how academic writing is produced, taught and assessed in higher education. This study uses Systemic Functional Linguistics (SFL) to analyze how ChatGPT constructs meaning when it responds to academic writing prompts. Drawin...

Taimur Khan, Lei Feng · 0 citations
Open access Oct 2026

An Analysis of Students' Errors in Writing Procedure Text at the 11th Grade of State Senior High School 3 Kisaran

Writing remains a significant challenge for English as a Foreign Language (EFL) learners, particularly when they are required to produce genre-based texts that demand appropriate grammatical structures, vocabulary, and sequential organization. This study investigates the types of errors made by eleventh-grade students...

Nurul Islami Widya Herlina, Lily Amalia, Nabila Al Hafizah et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.