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

Although the topic of "Artificial Intelligence" (AI) in the context of "The Future of Learning" tends to focus on the application of technology in education, we can identify some brain areas involved in learning and memory that could be a ff ected by the use of AI technologies in education. The main brain areas involved in learning and memory are as follows. Hippocampus: The hippocampus is a part of the limbic system and plays a crucial role in memory formation, especially in converting short-term memories into long-term memories. AI powered learning environments can help stimulate the hippocampus by providing engaging and challenging learning materials that help students process and retain new information. Prefrontal cortex: The prefrontal cortex is responsible for so-called executive functions, such as planning, problem solving, decision making, and working memory. AI technologies can support activity in the prefrontal cortex by helping students master complex tasks, train their working memory, and develop problem-solving strategies. Amygdala: The amygdala is another part of the limbic system and is involved in processing emotions, particularly anxiety and stress. AI-powered learning systems can help regulate amygdala activity by creating stress-free and motivating learning environments that promote students' emotional well-being. Basal ganglia: The basal ganglia are involved in motor control, reward processing, and habit development. AI-enhanced learning environments can stimulate the basal ganglia by providing students with feedback and rewards for their performance, thus supporting the process of habit formation.

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