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

Neurotransmitter: Various neurotransmitters play an important role in learning and memory. For example, dopamine and serotonin are involved in reward, motivation, and mood regulation, while acetylcholine and glutamate are critical for attention, learning, and memory formation. AI-powered learning systems could help make the most of these neurotransmitters, for example, by presenting learning content in a way that increases students' attention and motivation. Long-term potentiation (LTP) and long-term depression (LTD): LTP and LTD are long-lasting changes in synaptic strength that result from repeated activation of neurons. LTP is the strengthening of synapses that contributes to memory formation, while LTD is a weakening of synapses and is involved in forgetting information. AI-based learning systems could support these processes by, for example, providing repetition and practice to enhance memory formation and slow the forgetting of learned information. Neurogenesis: The formation of new neurons in the adult brain, especially in the hippocampus, is a process that influences learning and memory. AI-supported learning environments could help to promote neurogenesis, for example by creating stress-free, engaging and challenging learning situations. Overall, AI-supported learning environments and learning technologies can help to positively influence the biochemical processes in the brain that are responsible for learning and memory. This could lead to students learning more e ff ectively and e ffi ciently, ultimately leading to better educational outcomes.

And now let's take a look at which areas in our brain are involved in the biochemical processes.

Brain areas involved

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