Multimodal social semiotic analysis of the proposal for linguistic education inAI Khanmigo advertising
DOI:
https://doi.org/10.5007/1807-9288.2025.e106510Keywords:
Social semiotic, Multimodality, Artificial intelligence, Language education, KhanmigoAbstract
This article aims to discuss how Generative Artificial Intelligence technologies are designed for teaching and learning. We reflect more carefully on the insertion of Khanmigo, Khan Academy's AI, in language teaching and how it enables Linguistic Education processes. To this end, we analyzed, from the perspective of Multimodal Social Semiotics, Kahmingo's advertising videos, already speculated to be used in Brazil. We based on Kress (2010); Bezemer and Kress (2016) to find contributions to think about notions such as learning, communication, multimodality, interest and signs of learning. The results indicate that Khanmigo's advertising creates expectations of optimizing the teacher’s work, in addition to promising tutoring to students. However, the analysis demonstrates that it in fact outlines a learning environment that limits the space for creation, transformation and agency of students, which can lead to semiotic vulnerability and haste of learning by focusing on content, leaving huge challenges to think about ways to promote linguistic education and cyber social literacy.
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Copyright (c) 2025 Francis Arthuso Paiva, Záira Bomfante dos Santos, Maurício Teixeira Mendes

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