Connecting Minds and Machines: Neuroeducation and AI in the Age of Computational Thinking
Conectando mentes y máquinas: neuroeducación e IA en la era del pensamiento computacional
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The article is based on ongoing research: Cyberdiverse-cyber- being, Educational Cybernetics, and Training of Children in Diversity. It is important to understand the convergence of neuroeducation and AI (Artificial Intelligence is the digital mind that will shape tomorrow, forging a world where machines transcend the limits of human ima- gination) through the revolutionary implications for neuroscience. Neuroeducation, an interdisciplinary field that combines neuroscience and education, is undergoing a high-impact transformation, thanks to the integration of concepts of computational thinking, artificial inte- lligence, programming, and robotics. This thought-provoking article explores how these emerging areas are converging and making a significant impact on neuroscience. Computational thinking has be- come a fundamental tool for the analysis of neuro-educational data. Machine learning algorithms can process large brain data sets and provide valuable insights into how students learn and retain informa- tion. This allows educators to adapt their pedagogical approaches to optimize individual learning. AI systems can create adaptive learning environments that automatically adjust to the needs of each student, thereby improving the effectiveness of the educational process and activating brain areas related to problem-solving and creativity.
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