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Ai Architecture Applied To Education: Innovation In Teaching and Learning With Second Mind

Software architecture has been consolidated as a strategic factor in the development of intelligent systems, particularly in the educational field. In this context, Second Mind is presented, an architectural proposal based on artificial intelligence designed to optimize teaching and learning processes. The design integrates five main components—user interface, data processing services, AI engines, deployment API, and support infrastructure—which interact through stages of collection, preprocessing, storage, training, and deployment of models to transform academic information into actionable knowledge, enabling the anticipation of potential difficulties, customization of activities, and real-time feedback. Unlike traditional academic management systems, Second Mind places AI at the core, articulating the entire architecture and favoring scalability, interoperability, and adaptability across various educational contexts, producing more personalized, dynamic, and effective learning experiences.

Daniel Enrique Martinez Medina
Universidad del Norte
Colombia

Nicole Daniela Murillo Galindo
Universidad del Norte
Colombia

Margarita Rosa Gamarra Acosta
Universidad del Norte
Colombia