Learnography
Learning is knowledge transfer to human brain. Book is the transfer source of knowledge and student’s brain is the transfer target of learning. This is the universal law of school ecosystem in which the flow of knowledge transfer describes the mechanism of learning transfer. Learning is knowledge transfer considered as the first law of learnodynamics.
Students are transformed into the small teachers of learning process. This is the taxshila design of school system. Learning must bring the standard of teacher’s quality in student’s achievement and behavior through knowledge transfer and brainpage modulation.
Memory travels in learning space, and so knowledge transfer is conducted with locations and space definition to use motor knowledge in high speed learning transfer and memory formation. The space definition of association is hidden in human memory to navigate through the matrix, spectrum, segments, compass, modules, formatting and intuitive ideas of progressive knowledge transfer. In fact, memory travels in space for navigation, exploration and finally learning transfer by applying the motor knowledge of brain circuits.
Students can learn the great lessons of knowledge transfer from the working mechanism and teamwork of flying honeybees. The collaborative teamwork of honeybees is amazing in the collection of nectar from flowers and the production of honey in the hexagonal cells of beehive.
School hour is spent mostly on teaching activities and students don’t get time to read, learn and solve the task problems of knowledge chapter in the classroom. The necessity of homework is justified because of the teaching theories.
Everything is learnt in brain and everything is done by brain. Student’s brain has advanced working mechanism to conduct knowledge transfer in learning process. In fact, the neuroscience of learning circuits describes the mechanism and motor application of human intelligence. Artificial intelligence (AI) has been evolved from the self-regulating mechanism of human intelligence (HI). We know that the technology of artificial intelligence is playing important part in data science through content categorization and object recognition.
These two illustrations provide factual evidences that cerebellar learnography is very powerful in the learning transfer of knowledge chapters. In my opinion, the fast learning transfer and smart brainpage modulation of children are associated with the development of strong cerebellar basal ganglia circuitry. These students can finish the complete span (Taxshila Span) of K-1 to Master’s Degree approximately five years earlier in life, if cerebellar learnography is launched successfully in the classroom by using the knowledge transfer of brainpage theory.
In neurological analysis, teaching process is considered as the one way talking of brain circuits. Instead of making brainpage in the classroom, young brains are motivated to watch and listen to teaching performance. Brain science of the learning transfer is not working in school system and student’s brainpage is not modulated in classroom for knowledge transfer. So, we have to convert talking classroom into brainpage making school. In fact, teaching system is not working on the brain science of learning transfer.
The development of brainpage and high volume gray matter gives consistent deep learning to the cognitive part of brain circuits. Module building page in the object language of learnography can be made for the memory formation of long hours, defined as the stability in learning transfer. To apply the motor knowledge of brain circuits is the basic design of knowledge transfer in mathematics.
Individuality is defined in physical body by the working circuits of human brain. The working mechanism of physical body is controlled and regulated by the different parts of brain. Therefore, the brain science of learning circuits must be focal point to provide high class academic performance in school system.
