Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

With the growth of artificial intelligence (AI) tools available to anybody with internet access, English language learners are increasingly turning to these resources to improve their writing skills. By examining their utilization of AI tools to improve their writing proficiency, this research examines the perspectives of Turkish English language learners enrolled in a preparatory program at a state university in Istanbul. Using a Q methodological approach, researchers created a set of 40 statements based on a literature study, which were then sent to 55 consenting individuals. Qualitative information was also collected by interviewing five students in depth. The analysis indicated a growing tendency among students to utilize AI tools for writing assignments, highlighting advantages such as assistance in translation, idea generation,...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The integration of artificial intelligence (AI) writing tools in second language (L2) academic writing presents both opportunities and challenges for medical education. This study employed a SWOT (strengths–weaknesses–opportunities–threats) analysis to examine medical students’ perspectives on using AI writing tools in their academic writing practice. Forty-two medical students from a major Iranian university participated in the study, providing weekly reflections and a final SWOT analysis over a 15-week academic writing course. Thematic analysis revealed that AI writing tools offer significant strengths in linguistic skill development, particularly in academic vocabulary enhancement, sentence improvement, and grammar and proofreading. However, weaknesses such as over-reliance on AI, lack of contextual understanding, and occasional...

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Tipo: artículo

Metodología: estudio empírico

Temas: español como lengua extranjera

Resumen:

Google Translate (GT) has become a popular machine translation (MT) tool among language learners, received by instructors with excitement over its pedagogical potential and concerns about its possible misuse in the classroom, particularly when this misuse goes undetected. This study investigated the suitability of natural language processing (NLP) software for the automated detection of MT use in second language (L2) writing, examining a dataset composed of written samples generated by GT and direct L2 writing produced by intermediate-level postsecondary learners of Spanish. NLP-powered analyses found significant lexical and sentential-level differences, as well as estimated proficiency-level differences across text types. Automated judgments based on lexical diversity and amount of coordination yielded detection accuracy rates of 73....

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