Integration of Artificial Intelligence into Learning Theories and Styles
DOI:
https://doi.org/10.59471/raia2024207Keywords:
personalized education, artificial intelligence, learning theoriesAbstract
This article analyzes the integration of Artificial Intelligence (AI) in education, highlighting its impact on traditional learning theories such as constructivism, cognitivism, behaviorism, and connectivism. AI enriches these theories by providing adaptive tools, intelligent tutoring systems, automated assessments, and global learning networks. These technologies personalize learning, optimize content organization, and foster interdisciplinary collaboration. Constructivism is strengthened by personalized and collaborative environments, while cognitivism leverages predictive analytics to anticipate and address learning difficulties. Behaviorism finds in AI a means to implement positive reinforcement strategies, and connectivism promotes global access to knowledge through intelligent networks. Although these advances positively transform education, ethical challenges such as privacy and equity are highlighted. This study concludes that ethically implemented AI has the potential to revolutionize education for a more inclusive future.
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