Technology Evolution

Research Introduction

The development of technology is not a random occurrence. This is the outcome of a structured sequence in learning transfer that arises from the modulation of motor science and brainpage development. In the modern world, technological innovation drives economic growth, industrial production, and sustainable development.

However, the underlying mechanism of technological evolution lies deeply embedded in the brain’s ability to process knowledge through motor skills, particularly the fine motor control of upper limbs. Human beings are unique in the biological kingdom for combining advanced cognitive functions with dexterous motor capabilities. These capabilities enable humans to transfer knowledge into practical tools, systems and designs.

This research explores the concept that technology emerges and evolves through a defined series of learning transfer phases. Here, imagination, creativity and motor execution converge to transform ideas into functional objects.

The seven phases of learning transfer are based on the brainpage theory of learnography. These evolutionary phases provide a framework for understanding how knowledge moves from abstract cognition to concrete application in science and industry. The motor mapping and formatting ability of the brain – particularly through finger movements in writing, sketching, modeling and coding – plays a central role in innovation and production.

Furthermore, this study argues that the advancement of nations in mathematics, science, technology and economy hinges on redesigning education systems to prioritize motor-based knowledge transfer, learning by doing, and productive skills development.

In this context, cognitive learning alone is insufficient for real-world success. It must be integrated with experiential learning and motor science to prepare the learners as future contributors to technological growth. By understanding the phases of learning transfer, we can better harness human potential for designing intelligent systems, improving economic performance, and building a sustainable technological future.

Tech Evolution: Phases of Learning Transfer in the Development of Technology

The phases of learning transfer are very important to develop new technology for economy, production and growth. In fact, technology is born in the world of specialized systems, innovative designs and productive energy transfer.

Development of Taxshila Technology

⚙️ Technology develops from the modulation of motor science that is the finger mapping and formatting ability of human brain. — Shiva Narayan

Innovation: Application of Knowledge Transfer

The advancement of technology comes from the phases of learning transfer, which are important for the new ideas, creativity and derivations of high level brainpage development.

Human beings are the only species in the whole kingdom of biology to combine the powerful brain with an upper limb that can be used as a motor tool for knowledge transfer in the faculties of mathematics, science and technology.

The evolution of advanced upper limbs with strength, flexibility and precision enables Homo Sapiens beyond their incredible capacity for imagination, cooperation, support and thoughts in working abilities to develop science and technology.

Evolution of Upper Limbs in Human Beings

The motor science of upper limbs is basic tool in the knowledge transfer of student’s brain. It enables humans for better or for worse who have developed into the dominant species on this planet.

We know that the technology is neither created nor innovated in one single phase of human cognition and endeavor. The development of technology undergoes the series of seven phases. This is known as the phases of learning transfer.

The motor science of knowledge transfer describes the mechanism of a particular system, Students need the creative skills of pencil power for innovation and production to meet the requirements of working, earning and living.

🔴 Human brain describes the advanced capabilities of motor science to make tools and use fire in everyday life. — Shiva Narayan

Phases of Learning Transfer

1. Scanning Phase: Read, explore, learn and write the notes of knowledge transfer
2. Outline Phase: Skeleton, heading and zeid points of learning transfer
3. Cognitive Phase: Encapsulation, facts, well-defined objects, properties and functions
4. Innovative Phase: Task solving activities, application of motor knowledge
5. Formatting Phase: Goal oriented task operation, pattern and design, high performing hands
6. Updating Phase: Learning from mistakes, correction, derivation, new zeids and ideas
7. Intuitive Phase: Deep brainpage processing, enhancement, big ideas and dark knowledge

To produce valuable and quality goods for growth and economy

Technology develops from the modulation of motor science that is the finger mapping and formatting ability of human brain. The most important function of technology is the production of functional and structural objects that can be consumed in the development of industries, construction and other sectors.

In the brainpage theory of learnography, there are seven phases of learning transfer to deal with the creativity, innovation and motor science of knowledge transfer at the workplace. Updating phase is very important to produce valuable and quality goods for growth and economy. For this perspective, we have to change school system in which students will be produced as the future workforce of advanced technology.

Technology is the subject of learning by doing, which plays a vital role in the evolution of countries to acquire greater specialisation in production. In these both cases, learning by doing and increasing returns in production provide an efficient economic engine for long run growth and sustainability.

Cognitive knowledge develops from the existing knowledge of science and technology. Worked out technology is a good example of knowledge source and these technological studies can help students in acquiring cognitive development for planning, design and testing.

Development of Technology

1. Definition Phase
2. Outline Phase
3. Cognitive Phase
4. Innovative Phase
5. Formatting Phase
6. Updating Phase
7. Intuitive Phase

The motor science of human brain is significant to the advancement of technology required for industry, economy and growth. Learning by doing is a concept in growth and economic theory by which productivity is achieved through practice, self-perfection and minor innovations.

An example is a factory of knowledge transfer that increases output by learning how to use equipment better without adding workers or investing significant amounts of capital. We know that the advancement of science and technology is the pillar of economy and growth.

🔵 Cognitive knowledge is the potential energy of human brain, while the motor knowledge of brain circuits is kinetic energy of knowledge transfer. — Shiva Narayan

1. Definition Phase

The hippocampus of student’s brain is important to explore the flow of knowledge contents. In the scanning phase of development, students have to read, explore, learn and write the notes of knowledge transfer. There is a great difference between scanning and skimming in the knowledge transfer of science and technology.

Skimming involves not reading every word, but instead moving the eyes quickly over the contents and allowing the main defining objects and facts to become obvious for learning and understanding. Students keep their eyes open and move them deliberately across the options to see which objects are repeated and more defined in the paragraph blocks. They will gain the detailed ideas to conclude the matrix and spectrum of knowledge transfer.

In scanning phase, students read the contents each word thoroughly. It is called deep reading because it involves reading every word to gain the understanding of matrix and spectrum for the processing of learning transfer and memory formation. There will be words that students may not recognize. So, these problems will be resolved in a context further reading and scanning.

During the scanning phase, students will begin to gather information about the target’s purpose, specifically what blocks of knowledge transfer it offers. Information gathered during this phase is also traditionally used to determine the operating system of learning transfer and brainpage development.

2. Structure Phase

Learning transfer becomes modular in outline structure to organize the writing details of knowledge chapter. Outline phase deals with the modular skeleton, heading and zeid points of learning transfer. It makes learning simple and easy for brainpage processing in which learning speed increases and subject matter is outlined for the structural and functional knowledge of prescribed chapter.

Also the structure of contextual story is outlined in book writing, and the writer can finish his book before time with high efficiency, fast sequencing and constructive imaginative ideas. The advancement of intuitive knowledge is rehearsed in the zeidstream of motor science for the productive ideas, functional creativity and structural innovation of high technology.

In computer science, outline phase gives the algorithms of programming and flowchart is outlined to write the statements of programming language. Outline page is also available in Microsoft Word to organize the events and happenings of writer’s story. In learning process, the outline phase of knowledge transfer is implemented in classroom to provide learning skill in student’s initiatives.

Subject moderator declares the focal set of class matrix to put questions and remarks for the quality test of brainpage processing. The small teacher invites the miniature school for comments and suggestions. The students of miniature school raise their hands to get chance and the performer selects one by one for the polite and precise comments of question matrix.

3. Cognitive Phase

Well-defined objects, facts, properties and functions are studied under the development of cognitive phase. Existing knowledge is applied in the cognitive process of learning transfer for better understanding, and new knowledge is generated on the working desks of motor science. We know that cognition is mental activity that deals with the process of acquiring knowledge and understanding through facts, experience and sensory inputs. 

The cognitive phase encompasses many aspects of intellectual functions and processes such as attention, learning, working memory and the formation of new knowledge. In fact, cognitive thoughts are derived from the comprehension and production of object language. Reasoning and computation are required in cognitive activities to process judgment and evaluation for problem solving and decision making.

Technology is the subject of learning by doing which plays a vital role in the evolution of countries to acquire greater specialisation in production. In these both cases, learning by doing and increasing returns in production provide an efficient economic engine for long run growth and sustainability. Cognitive knowledge develops from the existing knowledge of science and technology.

Worked out technology is a good example of knowledge source, and these technological studies can help students in acquiring cognitive development for planning, design and testing. Learning by doing is a concept in growth and economic theory by which productivity is achieved through practice, self-perfection and minor innovations.

An example is a factory of knowledge transfer that increases output by learning how to use equipment better without adding workers or investing the significant amounts of capital.

4. Innovative Phase

Motor science deals with the development of innovative phase in which task solving activities are focused on methods, procedures and the application of motor knowledge. Sometimes, we don’t know the future zeid points of innovative pathways. By moving ahead, this knowledge may appear to meet higher level requirements on the assembly line of technological development.

Motor skills, creativity, problem-solving and breakthrough thinking take center stage in the innovative phase of technology development. In this phase, the prefrontal cortex of brain collaborates with anterior cingulate cortex, basal ganglia and cerebellum to generate novel solutions, reconfigure existing knowledge, and form new technological ideas.

This is the stage where the derivation aspect of object-oriented programming becomes especially relevant, as new functions and applications are derived from the foundational structures built in previous phases. The brain actively synthesizes information from the definition, structure and cognitive phases, forming intuitive leaps and innovative modules that address real-world challenges.

Through iterative experimentation, idea refinement and motor processing, the innovative phase fuels the momentum necessary for transformational tech solutions. It marks a shift from analytical to visionary development, blending abstract reasoning with practical implementation to unlock the creative potential of human intelligence in technology evolution.

5. Formatting Phase

Goal oriented task operation is defined in the formatting phase of patterns and templates in which high performing small teachers are required to use power and precision in determining the development of productive outcomes.

The formatting phase of technology development serves as a vital bridge between innovation and execution. Here, the conceptual breakthroughs of innovative phase are systematically organized into executable modules and functional blueprints. This phase engages the dorsolateral prefrontal cortex, basal ganglia and cerebellar circuitry of brain to fine-tune, sequence, and structure the innovative outcomes into a coherent and actionable format.

In the context of object-oriented programming (OOP), the formatting phase aligns with the final derivation process where inherited functions and modular elements are customized, calibrated, and prepared for deployment. It involves task formatting, algorithmic design, interface mapping, and the creation of detailed protocols and specifications that guide the transition from abstract ideas to tangible technology.

The formatting phase ensures the consistency, scalability and usability of technological solutions, shaping them into robust systems ready for real-world applications. Ultimately, it exemplifies the transformation of cognitive blueprints into structured frameworks, driving the learnographic flow of knowledge transfer into the operational core of technology.

6. Taxshila Phase

This is the technological phase of mistake corrections, bug fixes and performance improvements. Learning from mistakes, new zeids and ideas, and innovative learnography are the basics of taxshila updating phase.

In this phase of creativity and technology, a research scholar observes own work by repeating it several times, and makes changes in contents and objects using the cyclozeid process of knowledge transfer. Taxshila phase is applied in technology and work performance for self-evaluation, regular updates and functional enhancements.

We are aware of the alpha and beta testers who are contributing in the updating versions of budget and premium smartphones. In this phase, functions are tested and verified on practical platforms to obtain predefined speed, precision and results.

This is normal updating process, but developers or creators repeat and observe their own work several times to apply taxshila updating phase in technology for formatting speed, motor precision and enhanced results.

7. Intuitive Phase

Deep brainpage processing, big ideas and dark knowledge come under the intuitive phase of unconscious knowledge transfer.

The intuitive phase of technology development represents the culmination of deep learning and subconscious integration, where advanced innovations function seamlessly as if guided by instinct. In this phase, the technology reaches a state of maturity and autonomy, embodying the essence of intuitive design, user alignment and adaptive intelligence.

Neurologically, this phase is linked to the interplay of the default mode network (DMN), anterior cingulate cortex (ACC) and orbitofrontal cortex (OFC) of brain. These brain-parts are responsible for introspective thought, abstract reasoning and emotional intelligence. It is here that “dark knowledge” — the unconscious reservoir of learned experiences and pattern recognition — comes into play, guiding developers through abstract problem-solving and forward-thinking applications.

The intuitive phase expands polymorphic functionality of the technology. This phase also marks its global readiness, where it responds dynamically to user needs and environmental changes. The intuitive phase signifies the ultimate fusion of brainpage development and machine capability, ushering in a realm where technology feels natural, anticipates user behavior, and operates with the grace of embedded intelligence.

Science, System and Technology

Functional designs and machines are applying a particular technology by taking an input, changing it according to the system’s processing and then producing predefined outcomes.

The structural knowledge of these designs and machines is referred to as technological system. Science is the systematic knowledge of physical or material world gained through observation and experimentation. The development of technology may draw upon many fields of knowledge, including scientific, engineering, mathematical, linguistic and historical knowledge to achieve some practical result.

Engineering is the goal-oriented process of designing and making tools, and systems to exploit natural phenomena for practical human means, often using results and techniques from science.

A physical system is defined as a set of things working together as the parts of a mechanism to achieve predefined outcomes through goal oriented task operation (GOTO).

Technology can be the knowledge of systems, techniques and processes to produce valued goods for trading and marketing. Also, it can be embedded in machines to allow us for operation without having the detailed knowledge of their workings.

For instance, we don’t have the good knowledge of car’s mechanical engineering, but we can get license after training and drive properly this vehicle on the road without knowing its technology.

Basic economic relations are changing as new technologies and markets emerge in the advancement of knowledge transfer and brainpage modulation. Technology is also a particular method by which science is used for practical purposes. It is obvious that technology is born from scientific research and discoveries.

This is the sum of techniques, skills, methods and processes used in the production of goods in business, industry and manufacturing. It is also applied to generate specific services in the accomplishment of certain objectives and provides tools and equipments for scientific investigation.

♦️ Conventional Education: Teacher to students verbal knowledge transfer is not productive in the digital age of science and technology. — Shiva Narayan

Key Findings: Synergy of Brain and Hand in Technological Advancement

The evolution of advanced upper limbs equipped with strength, precision and adaptability has empowered Homo sapiens to transfer knowledge into functional designs and innovative systems. This fusion of brain and hand is the core mechanism behind tool-making, engineering and technological breakthroughs.

1. Seven Phases of Learning Transfer Drive Technological Innovation

Technology evolves through a sequential process of learning transfer involving seven distinct phases, including definition, function, application, modulation, updating, formatting and innovation. These phases reflect the gradual transformation of knowledge into functional and structural outcomes.

2. Motor Science is Fundamental to Knowledge Transfer

The advanced motor skills of human upper limbs – especially finger mapping and coordination – are essential for converting abstract knowledge into physical tools, machines and designs. Motor science underpins the creation, testing and implementation of technological solutions.

3. Brainpage Theory Enhances Productive Learning

Brainpage development facilitates the conversion of learned knowledge into executable formats through motor rehearsal and spatial formatting. This cognitive-motor synergy is crucial for understanding and applying technology in real-world settings.

4. Updating Phase Ensures Quality and Economic Growth

Among the seven phases, the updating phase is critical for refining products, enhancing quality, and maintaining technological relevance. It supports continuous improvement and long-term sustainability in economic production.

5. Learning by Doing Accelerates Technological Proficiency

Practical experience and hands-on learning significantly outperform traditional cognitive approaches in fostering technological understanding. Learning by doing enables students and workers to master tool usage, system design, and creative problem-solving.

6. Technological Skills Originate in Early Pencil Power

Fine motor skills developed through early pencil use (writing, drawing, modeling) lay the foundation for future abilities in engineering, coding and innovation. These foundational skills are often overlooked in cognitive-based education systems.

7. Redesigning Education for Technological Workforce

Traditional education systems focused on verbal teaching must shift toward motor-driven and task-oriented models that prepare students for real-world technological applications. A brainpage school design based on motor science fosters innovation and productivity.

8. Technology as a Product of Human Evolution and Specialization

The combination of imagination, cooperation and precise motor control in humans has led to the emergence of complex technologies. Technological advancement is a direct consequence of the evolutionary refinement of motor and cognitive integration.

9. Technological Development Relies on Cognitive and Motor Interdependence

While cognition initiates ideas and planning, motor execution is required to materialize those ideas. Effective technological learnography must balance both domains to nurture inventiveness and industrial capability.

10. Phases of Learning Transfer Provide a Framework for Sustainable Innovation

Applying the structured phases of learning transfer to gyanpeeth, industry and research can lead to systematic innovation, improved productivity, and long-term growth in science and technology sectors.

🔵 Technology does not arise solely from abstract thinking. It develops from the deep integration of cognitive processing and motor execution. This is a synergy uniquely perfected in the human species.

Humans have advanced from basic survival tools to sophisticated digital and industrial technologies through the structured phases of learning transfer, particularly those involving motor formatting and finger mapping. Recognizing this synergy is essential for understanding the past innovations. It also helps in designing future educational systems that nurture creativity, skill, and productivity through motor science and experiential learning.

▶️ Tool Makers of the Future: Human Hands and the Evolution of Knowledge

Author: 🖊️ Shiva Narayan

Taxshila Model

Learnography

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Research Resources

• Interdependence between Mathematics, Science and Technology
• Phases of Learning Transfer Essential for Technological Innovations
• Evolution of Advanced Upper Limbs in Humans
• Motor Mapping and Formatting Abilities of the Human Brain
• Movement of Knowledge Modules from Abstract Cognition to Concrete Motor Application
• Human Potentials for Designing Intelligent Systems and Improving Economic Performance
• Modulation of Motor Science and Brainpage Development