Is Artificial Intelligence a neuromyth in sociocultural educational processes?
DOI:
https://doi.org/10.62697/rmiie.v4i2.178Keywords:
Subjectivity, neural networks, neuroscience, algorithms, promptsAbstract
El estudio se sustenta teórico y epistemológicamente en las condiciones bio-psico-sociales de los procesos formativos-educativos humanos (emocionalidad; resiliencia del mediador cultural pedagógico-didáctico; del aprendizaje significativo y situado de cada aprendiente; las redes neuronales con realizaciones de entropía y neguentropía de mucha complejidad sistémica en el desarrollo del pensamiento analítico-crítico-deliberativo y creativo enmarcados en dicho proceso y la construcción de máquinas “inteligentes” que desde el paradigma conductista estimula, más que nada, en el interlocutor respuestas condicionadas (objetivo instruccional conductual inducido por el maestro “todólogo”; adiestramiento experimental; fijación de conocimientos-destrezas observables y medibles, etc.) a partir de una programación informatizada. Se revela el diagnóstico a través de las respuestas dadas por los consultados, dictaminándose conclusiones pertinentes, para desde lo alcanzado recomendar a las Autoridades universitarias cursos de neurorrobótica (neurociencias, robótica e inteligencia artificial) que permitirán a los maestros conocer con mayor profundidad a la mente humana y al momento de diseñar algoritmos y prompts de IA tengan una mejor aproximación a lo humano-natural-social.
The study is theoretically and epistemologically based on the bio-psycho-social conditions of human educational-training processes (emotionality; resilience of the pedagogical-didactic cultural mediator; significant and situated learning of each learner; neural networks with realizations of entropy and negentropy of great systemic complexity in the development of analytical-critical-deliberative and creative thinking framed in this process and the construction of "intelligent" machines that, from the behaviorist paradigm, stimulate, more than anything, conditioned responses in the interlocutor (behavioral instructional objective induced by the "jack of all trades" teacher; experimental training; fixation of observable and measurable knowledge-skills, etc.) based on computerized programming. The diagnosis is revealed through the answers given by those consulted, dictating pertinent conclusions, in order to recommend to the university authorities courses in neurorobotics (neurosciences, robotics and artificial intelligence) that will allow teachers to understand the human mind in greater depth and, when designing algorithms and AI prompts, have a better approximation to the human-natural-social.
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Copyright (c) 2025 Telmo Viteri-Briones, Alexandra Cañizares-Stay, Jorge Alejandro Cañizares-Stay, César Guillermo Roldán-Campi

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