04-001-US The Future of Learning (Part 1)

The thalamus is an important sensory and motor relay center in the brain that relays information from the sensory organs to the cortex. AI-enabled learning systems can influence the thalamus by providing multimodal learning materials that engage di ff erent senses to promote learning through di ff erent sensory channels. These brain areas constantly interact and work together to enable learning and memory. AI-powered learning environments and technologies can help use these brain areas more e ff ectively by providing personalized, engaging, and challenging learning content tailored to each student's individual needs and abilities. Scientific studies Now that we have learned about the biochemical processes and the brain areas involved in artificial intelligence, let's take a look at some interesting studies about it. There are many scientific studies that focus on the topic of "Artificial Intelligence" (AI) in the context of "The Future of Learning". These studies examine various aspects of AI-enhanced learning environments, such as personalized learning, automated assessment, learning analytics, and collaboration. Here are some examples of studies in this area: E ff ectiveness of intelligent tutoring systems In this study, Kulik and Fletcher conducted a meta-analysis to evaluate the e ff ectiveness of intelligent tutoring systems (ITS) compared to other teaching methods, such as traditional instruction or computer-based learning without tutorial support. The meta-analysis included 50 independent studies that evaluated various ITSs in di ff erent subjects and educational settings. The authors analyzed the results of these studies to determine how the use of ITS a ff ected learning performance, learning time, and learner satisfaction. The results showed that, on average, students who used ITS performed better than students who used other teaching methods. In addition, students who used ITS generally took less

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