Innovation in Language Learning
AI Vs Human Expertise in Figurative Language Comprehension
Asta Pukiene, Kauno Kolegija Higher Education Institution (Lithuania)
Abstract
As artificial intelligence continues to evolve and integrate into various facets of our lives, a deeper understanding of its linguistic capabilities, especially the comprehension of figurative language, has become increasingly important for both AI development and language education. The current research focuses on the challenges of EFL students to properly understand and accurately use idiomatic expressions while completing a series of designated language activities in contrast to the anticipated potential of AI-driven technology. The findings reveal important differences in comprehension strategies and outcomes, highlighting the unique cognitive processes employed by human learners versus the algorithmic approaches of AI. While EFL students demonstrate an ability to draw on context, cultural knowledge and personal experience, AI tools often rely on patterns and data-driven models. Upon comparing the collected data, and commenting on strengths and weaknesses of both sides, the research points out some pedagogical implications that could potentially improve existing TEFL practices.
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Keywords |
TEFL, figurative language, EFL students, Artificial intelligence (AI) |
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