Artificial Intelligence for English Learning Enhancing Vocabulary Acquisition

The acquisition of vocabulary is a fundamental aspect of language learning, particularly in English, which serves as a lingua franca in global communication. Traditional methods of vocabulary acquisition often rely on rote memorization and repetition, which can be tedious and ineffective for many le...

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Autores:
Mercedes del Carmen, Rodríguez Altamiranda
Villamizar Parada, Nini Johana
Martinez Bula, Ligia Rosa
Restrepo Ruiz, Marisela
Herazo Chamorro, Mónica Isabel
Gómez Díaz, Carlos
Tipo de recurso:
Article of investigation
Fecha de publicación:
2024
Institución:
Corporación Universitaria del Caribe - CECAR
Repositorio:
Repositorio Digital CECAR
Idioma:
OAI Identifier:
oai:repositorio.cecar.edu.co:cecar/10699
Acceso en línea:
https://repositorio.cecar.edu.co/handle/cecar/10699
Palabra clave:
Vocabulary acquisition
English language learning
Artificial intelligence (AI)
Ersonalized learning
Adaptive algorithms
Machine learning
Engagement
Rights
openAccess
License
Derechos Reservados. Corporación Universitaria del Caribe – CECAR
Description
Summary:The acquisition of vocabulary is a fundamental aspect of language learning, particularly in English, which serves as a lingua franca in global communication. Traditional methods of vocabulary acquisition often rely on rote memorization and repetition, which can be tedious and ineffective for many learners. With the advancements in artificial intelligence (AI) technologies, there exists an opportunity to revolutionize vocabulary acquisition through innovative and personalized approaches. This paper explores the potential of AI in enhancing vocabulary acquisition for English learners. It begins by examining the shortcomings of traditional methods and the challenges faced by learners in vocabulary acquisition. Subsequently, it delves into the various ways in which AI can be leveraged to address these challenges effectively. One of the primary advantages of AI in vocabulary acquisition is its ability to provide personalized learning experiences tailored to individual learners' needs and preferences. Through adaptive algorithms and machine learning techniques, AI platforms can analyze learners' strengths, weaknesses, and learning styles to deliver customized vocabulary exercises and content. This personalized approach not only increases engagement but also maximizes retention and understanding.