Error Analysis and Artificial Intelligence: Preliminary exploration of English as a Foreign Language written productions

This paper explores the possibilities offered by new Artificial Intelligence tools when applied with Error Analysis to English as a Foreign Language (EFL) teachers to design assessments that improve their students’ written proficiency in the context of a university course at the B2 level of t...

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Main Author: Manuel Macías-Borrego
Format: Article
Language:English
Published: Universidad de Investigación y Desarrollo 2024-08-01
Series:I+D Revista de Investigaciones
Online Access:http://sievi.udi.edu.co/ojs/index.php/ID/article/view/458
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author Manuel Macías-Borrego
author_facet Manuel Macías-Borrego
author_sort Manuel Macías-Borrego
collection DOAJ
description This paper explores the possibilities offered by new Artificial Intelligence tools when applied with Error Analysis to English as a Foreign Language (EFL) teachers to design assessments that improve their students’ written proficiency in the context of a university course at the B2 level of the Common European Framework of Reference (CEFR). A comparative corpus study was designed to evaluate the impact of integrating both disciplines, in which half of the productions were evaluated with artificial intelligence tools. Relevant conclusions were obtained, as new intelligent technologies bring new perspectives that effectively help EFL learners produce more appropriate written texts. Among other findings, error elimination was observed in more than 70% of the cases and a better application of grammatical rules in more than 75%.
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series I+D Revista de Investigaciones
spelling doaj-art-b021c6d5063447e19bbd3b52553818d72025-08-20T01:55:22ZengUniversidad de Investigación y DesarrolloI+D Revista de Investigaciones2256-16762539-519X2024-08-01191Error Analysis and Artificial Intelligence: Preliminary exploration of English as a Foreign Language written productionsManuel Macías-Borrego0Universidad Autónoma de Madrid This paper explores the possibilities offered by new Artificial Intelligence tools when applied with Error Analysis to English as a Foreign Language (EFL) teachers to design assessments that improve their students’ written proficiency in the context of a university course at the B2 level of the Common European Framework of Reference (CEFR). A comparative corpus study was designed to evaluate the impact of integrating both disciplines, in which half of the productions were evaluated with artificial intelligence tools. Relevant conclusions were obtained, as new intelligent technologies bring new perspectives that effectively help EFL learners produce more appropriate written texts. Among other findings, error elimination was observed in more than 70% of the cases and a better application of grammatical rules in more than 75%. http://sievi.udi.edu.co/ojs/index.php/ID/article/view/458
spellingShingle Manuel Macías-Borrego
Error Analysis and Artificial Intelligence: Preliminary exploration of English as a Foreign Language written productions
I+D Revista de Investigaciones
title Error Analysis and Artificial Intelligence: Preliminary exploration of English as a Foreign Language written productions
title_full Error Analysis and Artificial Intelligence: Preliminary exploration of English as a Foreign Language written productions
title_fullStr Error Analysis and Artificial Intelligence: Preliminary exploration of English as a Foreign Language written productions
title_full_unstemmed Error Analysis and Artificial Intelligence: Preliminary exploration of English as a Foreign Language written productions
title_short Error Analysis and Artificial Intelligence: Preliminary exploration of English as a Foreign Language written productions
title_sort error analysis and artificial intelligence preliminary exploration of english as a foreign language written productions
url http://sievi.udi.edu.co/ojs/index.php/ID/article/view/458
work_keys_str_mv AT manuelmaciasborrego erroranalysisandartificialintelligencepreliminaryexplorationofenglishasaforeignlanguagewrittenproductions