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    The Need to Propose an Integrated Learning Theory for Knowledge Building in Smart Environments

    Alaa Jawad Kadhim/ Assistant Professor of Educational Technology / The General Directorate for Education of Diyala, Iraq

    In an era marked by the increasing use of generative artificial intelligence (GenAI), future education will be more open, individualized, and integrated with smart technology. However, it will require a humanistic and ethical framework that preserves critical and innovative thinking skills, identity, and human relationships.

    Therefore, current traditional learning theories are limited in their ability to explain how learners interact to create and process information in smart learning environments. Although traditional theories, such as behaviorism, cognition, and constructivism, have provided great value to humanity, they are not designed to keep pace with the complexity imposed by AI-powered, self-adapting learning systems, as they originated in a purely human context.

    With the increase of AI tools at the core of the educational process, such as intelligent tutoring systems, predictive learning analytics, and instant feedback mechanisms, the need has emerged for a new theoretical framework that reframes them and redefines how knowledge is constructed, personalized, and applied in digital social environments .Hence, the concept of integrated learning theory.

    Cukurova concluded his study by “calling for a broader approach to AI directed toward self-learning that goes beyond considerations related to AI design and development and includes educating people about AI and creating modern educational systems to remain relevant in a world of ubiquitous AI”

     

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