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Multimodal Generative Architectures for Knowledge Automation: Applications in Educational Engineering and Technical Communication

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  • David Asael Gutiérrez-Hernández

    (Tecnológico Nacional de México-Instituto Tecnológico de León. Departamento de Ingeniería Industrial. León, Guanajuato, México)

  • Dulce Aurora Velázquez-Vázquez

    (Universidad La Salle Bajío. Facultad de Ingenierías y Tecnologías. León, Guanajuato)

Abstract

Generative Artificial Intelligence (GAI) represents a disruptive evolution in intelligent systems, enabling the automated creation of multimodal content across text, image, audio, and structured data. This article explores GAI as a framework for knowledge automation, focusing on its integration into engineering education, scientific visualization, and technical communication. A thematic review of prior research highlights the use of neural inference, optoelectronic sensing, and multimodal data processing in academic and applied contexts. The paper analyzes the architecture of transformer-based models (e.g., GPT-5, Gemini, Claude 3), their capacity for adaptive content generation, and their role in democratizing access to technical knowledge. Ethical and epistemic challenges-such as algorithmic bias, model opacity, and cognitive illusion-are critically examined. Strategic recommendations are proposed for ethical deployment, including participatory model design, open infrastructure, and continuous impact evaluation. The article concludes that GAI, when governed responsibly, can serve as a catalyst for inclusive, automated, and collaborative knowledge production in engineering domains.

Suggested Citation

  • David Asael Gutiérrez-Hernández & Dulce Aurora Velázquez-Vázquez, 2025. "Multimodal Generative Architectures for Knowledge Automation: Applications in Educational Engineering and Technical Communication," International Journal of Research and Innovation in Applied Science, International Journal of Research and Innovation in Applied Science (IJRIAS), vol. 10(10), pages 1647-1656, October.
    • Handle: RePEc:bjf:journl:v:10:y:2025:i:10:p:1647-1656
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    References listed on IDEAS

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    2. repec:osf:socarx:ustxg_v1 is not listed on IDEAS
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