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