How Self-Regulation Shapes The Success Of Smart Learning In 2025
Briefly

The article discusses the critical importance of self-regulation in the context of education's digital transformation, emphasizing its role as basic necessity rather than an optional skill. As classrooms evolve into intelligent, interactive environments powered by Artificial Intelligence (AI), learners must possess strong self-regulatory skills to navigate their unique educational paths. The piece highlights how AI tools, such as instant feedback mechanisms and personalized recommendations, enhance students' self-regulatory capabilities. Additionally, it emphasizes the value of smart learning environments in fostering independent learning through personalized learning paths, ultimately promoting academic success and retention.
In a world where classrooms evolve into intelligent, interactive platforms, learners must take control of their learning journeys through strong self-regulatory skills.
Self-regulation refers to an individual's ability to consciously manage their thoughts, emotions, and behaviors to achieve specific goals.
Artificial Intelligence offers powerful tools to reinforce self-regulated learning in smart learning environments, enhancing students' response quality and supporting adaptive learning paths.
Smart learning environments promote self-regulation through personalized learning paths, significantly improving student comprehension and engagement.
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