Mastering Mathematics: How Motor Science Simplifies the Knowledge Transfer of Mathematical Concepts
Mathematics has long been a subject that many students find challenging, often due to its complex nature and rigorous problem-solving demands. However, a revolutionary knowledge transfer approach known as the brainpage theory of system learnography is changing the way we perceive and master mathematics.
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| Mastering Mathematics: Motor Science of Learnography |
Explore the brainpage module theory of learnography and how it simplifies mathematics, applying motor science and procedural learning, and transforming it into an accessible and enjoyable subject.
This innovative theory offers a unique perspective, likening the process of learning mathematics to the experience of learning to ride a bicycle. In this comprehensive exploration, we delve into the Brainpage Theory, how it simplifies the learning of mathematics, and why it's rapidly transforming the traditional classroom experience of period teaching system.
Mathematics: Applying Motor Science of Learnography
Demystifying mathematics is achievable by harnessing the principles of motor science within the framework of learnography. Often considered a complex and intimidating subject, mathematics can become more accessible and engaging when we incorporate the motor science of knowledge transfer.
By utilizing procedural knowledge transfer techniques, similar to those applied when learning physical skills such as riding a bike or even horseback riding, students can navigate mathematical concepts with greater ease. This approach involves engaging the motor circuitry and basal ganglia circuitry of student's brain, making mathematical learning more practical and relatable.
Motor science transforms the abstract into the tangible, allowing pre-training students to grasp mathematical principles as they would rehearse a hands-on skill. In essence, by integrating the motor science of learnography, we demystify mathematics, turning it into a comprehensible and even enjoyable endeavor, rather than an insurmountable challenge.
Neuroscience: Maths not Favorite Subject for Students
Mathematics is not the favorite subject for many students because they have to apply the intuitive ideas of right hemisphere and deep learning circuits. The prefrontal cortex of brain is pressurized to work hard in the problem solving activities of mathematics.
This is the region of rational brain and logic circuits that requires the high volume of anatomical gray matter and the strong thick projections of white matter. In fact, the knowledge transfer of mathematics is similar to the modular brain learning of bike riding in the brainpage theory of procedural learnography.
Student’s pencil power is defined as the finger mapping motor knowledge of brain circuits, the best tool for the high speed learning transfer of mathematical zeids.
Mathematics: Learning brain-based transfer in mathematics is similar to the modular brain learning of bike riding - Motor Science
Mathematics in Brain, Body and Behavior
Mathematics is a difficult subject for many students but it becomes very easy in the classroom of school learnography. Object language is always written in modular structure, and mathematics is the subject of modular learning.
The biology of our brain collects information and knowledge from the objects, events and formatting facts of surroundings, and its learning is processed in modules. In practice, brainpage module becomes faster in mathematics to finish problem solving activities. Instance guided object learning (IGOL) is also effective in the numerical solutions of physics.
The intuitive brainpage of mathematics is modulated by the seven dimensions of knowledge transfer such as definition spectrum, function matrix, block solver, hippo compass, module builder, task formator and dark knowledge.
In fact, mathematics becomes interesting subject like the learning of bike riding or horse galloping when we use motor science in the learning transfer of classroom. We often use motivation to teach maths chapter. Emotion is the basic part of human language but maths chapter is learned in object language. Also, the seven dimensions of learning transfer are applied in problem solving activities.
Talking Classroom vs Working Classroom
Why do young brains like to talk much in school? They forget to recognize that classroom is defined as the space of learning transfer. So, we have to convert talking classroom into brainpage school.
Long term memory of the brain circuits develops from the imaging of interaction about space, object and time. Just opposite, young brains are compelled to watch and listen to teaching performance.
In neurological analysis, teaching process is considered as the one way talking of brain circuits. That is why brain science is not working in school and brainpage is not made for knowledge transfer.
Cognitive knowledge is acquired from the academic learning of school system, but motor knowledge is crucial to knowledge transfer in the classroom. Learnography is the school of knowledge transfer and it is defined as the Gyanpeeth in Taxshila Ethics.
Students become pre-trained small teachers to make brainpage in the learning transfer of mathematics. It is fact that mathematics is the root of all types of knowledge learning, therefore, all subjects should be learned in the classroom like the learning dimensions of mathematics.
Quality Learning: Acquired from Working with Training, Experience and Skills
The pencil power of brain circuits and finger mapping is acquired from skill oriented development and it is defined as the motor knowledge of learning transfer.
In school learnography, students are transformed into the small teachers of a classroom. So, they are trained to achieve learning skills in knowledge transfer, practical learning or application based learning transfer. Training means the acquisition of practical knowledge that is required in finger mapping, brainpage development and memory formation.
A subject teacher is the source of learning transfer in period teaching classroom, but brainpage book is the source of knowledge transfer in School 2020 and Learnography.
Learnography is the school of knowledge transfer, and it is mainly based on the learning facts and transfer dimensions of mathematics.
Teacher to student learning transfer is provided in period teaching education system, but learnography conducts book to brain knowledge transfer in the classroom for brainpage making process. Students know that they have to write the answers in the exams by extracting brainpage modules from the working mechanism of brain circuits.
Mathematics is not Pain but it’s Pleasure in Solving and Working
It is obvious that mathematics becomes an easy subject like the learning of bike riding in the brainpage theory of learnography. Students will have to apply the learning dimensions of brain circuits to make brainpage module from the chapters of mathematics.
Everything is given in the source book of knowledge transfer and students should know how to apply the dimensions of learning circuits of brain to develop smart brainpage modules in algebra, geometry, trigonometry and calculus. It’s easy like how to practice and learn the bicycle riding on the tracks of defined pathways.
In this way, maths learning is similar to bike riding in the working circuits of human brain. Only students have to apply and practice the dimensions of knowledge transfer to make smart brainpage and writing pathways in classroom learnography.
We know that the chapter of mathematics is famous for the matrix set of questions given in each exercise page. Question is the second dimension of knowledge transfer because it reflects the matrix or keyword of subject matter to search exact module from the brainpage of maths chapter.
Short Term Memory Required in Learning Process
In fact, the knowledge transfer of classroom is a good example of why we usually hold information and zeids in the short-term memory of our hippocampus. It is necessary to accomplish some tasks that we have planned to do at a particular place.
The problem solving task of mathematics is an example of short-term memory in which students can mentally explore and calculate several possible options before choosing the one exact module that will lead to the end of right solution.
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.
Author: Shiva Narayan
Demystifying mathematics is a significant transformative journey made possible through the application of motor science in system learnography.
Mathematics, often perceived as a complex and formidable subject, can be made accessible and engaging by embracing the principles of motor science. This approach involves treating the learning of mathematical concepts much like acquiring physical skills such as riding a bike or learning to swim or surfing the waves.
By incorporating procedural knowledge transfer, students activate their brain's motor circuitry and basal ganglia circuitry, creating a practical and hands-on connection to abstract mathematical ideas. Through this method, mathematics is no longer a distant and intimidating realm but becomes a tangible and relatable experience.
Motor science simplifies complex concepts, making them more digestible and enjoyable. In essence, by applying the motor science of learnography, we demystify mathematics, empowering students to approach it with confidence, curiosity, and a sense of accomplishment, rather than trepidation.
The process of learning mathematics can be more engaging and enjoyable when we apply the principles of motor science in the structured classroom. It's similar to practice in acquiring the skills to ride a bike or gallop on a horse. Just as we activate motor circuitry and basal ganglia circuitry in the brain during procedural knowledge transfer for activities like bicycle riding, mathematics learning can benefit from the same procedural motor approach.
This method taps into the motor science of knowledge transfer, making the learning of mathematical concepts more practical and relatable. By integrating active procedural knowledge transfer into mathematics, pre-training students can engage their brains in a way that mirrors the hands-on experience of mastering physical activities.
In this way, algebra, arithmetics and trigonometry can be learned like the learning of bike riding. The application of motor science can transform mathematics from a daunting subject into an exciting and accessible journey of understanding, problem solving and skill development. That's the quality of problem solver and knowledge transformer.
Research Resources
- Mystery of Mathematics: Motor Science Approach in Problem Solving Tasks
- Practical and hands-on connection to abstract mathematical ideas
- Human Brain: Motor circuitry and Basal ganglia circuitry
- Procedural Knowledge Transfer
- Knowledge transfer of mathematics similar to the modular brain learning of bike riding
- Pencil Power: Finger mapping motor knowledge of brain circuits
- Neuroscience in Mathematics: High volume of anatomical gray matter and the strong thick projections of white matter
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