Harold Bekkering reminds me of some of my Dutch family, funny feeling. Once he took the stage, it really was like listening to cousin Folkert.
Everything is connected in the brain, and the brain is a predictive
machine.
A neuron at work is incoming data is output in just one unit. So in
neuroscience we see that multiple inputs triggers a process into one output.
Hebbian learning: everything is connected (Hebb’ theory).
A human can adapt to one specific tone of voice and timbre. Our brain
adjusts.
The brain is a prediction machine. Read Karl Friston and Andy Clark.
Distributed knowledge in the brain. Exteroceptive, autonomic
(interoceptive), motoric (proprioceptive) given the conceptual multimodel
representations. The brain tries to make the best things for you. It is a
multimodal representations, which makes it of interest.
The whole brain is summed up in error correction.
E.g. you walk to a door (prediction is going through the door), but if a
door is closed you adjust your action based upon the perception after the
prediction.
Amal and Giraud, TICS 2012, beta and gamma power. The brain is only
active when you make errors. Only after making an error your model is updated
[interesting].
We learn more from negative feedback. Oh no! 😃
Creating a safe environment to learn from errors.
Social learning: humans are by nature social, homo imitans.
Dunbar (1998) The social Cortex, it is big because we have huge
networks. The Dunbar’s number.
Social learning is needed due to the brain needing to be matured over
time (baby to adult).
Good tip for learning: saying: hi (insert name) and then say the action.
The brain does not ignore the calling of a name to become active.
Mirror neurons: have revolutionised neuroscience. Motorcortex was
investigated, and in the lab, monkeys mimicked humans picking up peanuts. There
are cells that only get active if we see someone else moving. Your brain cannot
help to observe and react.
Learning analytics: extracting data, predicting data, … data driven
education.
It is not useful to only learn in one learning style is the real point
of interest, if you want to really learn the best thing to do is to use all
styles for learning.
Lessons for online learning
Hebbian learning: be careful with what you offer
Predictive learning: structure and provoking errors (job aids similar)
Social learning
No comments:
Post a Comment