Drawbacks of Conventional Education System

Discover why the long-held belief in “effective teaching” often fails to produce genuine learning outcomes in modern schools. This comprehensive exploration uncovers the hidden crisis in conventional education – where teaching is abundant but actual learning transfer is weak. The paper examines the neurological foundations of learning, exposes the limitations of teacher-centered classrooms, and highlights how passive teaching fails to create brainpage development, long-term memory, and real-world skill mastery.

Drawing insights from learnography, motor science, and the Taxshila Model, this piece explains how traditional school culture creates talking classrooms instead of active learning environments. Explore how shifting from teaching to brain-based learning transfer can unlock student potential, improve understanding, and build lifelong competence. This is an essential reading for educators, reformers, policymakers, and learners seeking deeper insight into the future of effective schooling.

🧲 Research Introduction: Learning Crisis in Modern Education

The global education system has long operated under the assumption that effective teaching directly results in effective learning. This belief has shaped classroom culture, curricular design, instructional policy, teacher training programs, and assessment practices for generations.

Yet growing evidence from neuroscience, motor science, knowledge transfer systems and academic research reveals a persistent and troubling reality. Despite the increasing effort, sophistication and professionalism of teaching, students are not learning deeply, retaining knowledge or developing transferable skills at the expected levels. This discrepancy between teaching input and learning output has produced what can now be described as a widespread learning crisis in schools.

The myth of effective teaching persists largely because teaching activities are visible and measurable, while learning processes within the brain are invisible and often misunderstood. Classroom observations, lesson plans, and teacher evaluations provide strong evidence of instructional effort, but they offer little insight into how students internalize, encode, and apply knowledge transfer.

Learning is a neurobiological process driven by brainpage formation, motor interaction, contextual practice, and repeated rehearsal. These mechanisms are largely overlooked in conventional pedagogical models. As a result, traditional classrooms tend to emphasize verbal explanation and teacher-driven communication. This approach creates passive learning environments that fail to stimulate the cognitive and motor systems of learner's brain necessary for durable memory and understanding.

Furthermore, the structure of schooling — centered around lectures, textbooks and standardized assessments — encourages rote memorization instead of meaningful comprehension. Students often learn to pass exams rather than develop mastery, problem-solving skills or creativity. This mismatch between school performance and real-world competence underscores deeper systemic issues. Without active engagement, motor-based learning tasks or opportunities to build brainpage modules, students struggle to transfer knowledge beyond the classroom. The result is a generation of learners who are taught every day but do not truly learn.

The emerging science of brain-based learnography challenges the myth of effective teaching by shifting focus toward how the brain learns rather than how teachers teach. It emphasizes knowledge transfer mechanisms such as the Definition Spectrum, Task Formator, Function Matrix, and thalamic cyclozeid rehearsal. These are the neural processes that transform external knowledge into internal skill. Similarly, the Taxshila Model demonstrates that when students become active participants — “small teachers” within miniature school modules — learning becomes deeper, more personalized, and more durable.

This study investigates the learning crisis by analyzing the limitations of teaching-centered paradigm and exploring brain-based models that better reflect the true nature of learning. Through a multidisciplinary lens, it aims to reveal why teaching alone cannot guarantee learning and to propose a new academic learning architecture grounded in knowledge transfer, motor science, and student-driven brainpage development. The findings contribute to a broader effort to redesign schooling so that learning becomes not an assumption — but a measurable, reliable, and transformative experience for every learner.

Myth of Effective Teaching: Investigating the Learning Crisis in Schools

Education serves as the foundation for personal growth, societal progress and individual success. However, despite its undeniable importance, traditional education system often falls short in effectively transferring knowledge to students' minds.

Teaching Without Transfer: The Core Drawback of Modern Classroom

In this article, we explore the drawbacks of education system, and discuss potential solutions to bridge the gap between teaching and learning.

The detailed examination reveals that the crisis cannot be resolved by simply improving teaching methods. Instead, education must shift from teaching-oriented classrooms to learning-oriented brainpage systems. Only through active participation, motor engagement, and structured brain-based tasks students can develop durable knowledge, higher-order thinking, and real-world competence.

This paper highlights the urgent need for systemic educational reform. By replacing the myth of effective teaching with the science of effective learning, schools can finally unlock the full learning potential of every child.

The Illusion of Teaching: Uncovering the Learning Crisis in Modern Education

The belief that teaching automatically produces learning has shaped school systems for centuries. Classrooms across the world are built on the assumption that if a teacher explains clearly, students will understand; if teachers deliver lessons daily, students will learn successfully. However, modern neuroscience and knowledge transfer science reveal that this assumption is deeply flawed. The so-called effectiveness of teaching is often a myth when measured against actual learning outcomes, learner understanding, long-term retention, and the ability to apply knowledge in real-life situations. This disconnect has contributed to a silent but growing crisis in schools – students attend classes, pass examinations, yet fail to develop mastery, confidence or transferable skills.

At the heart of the crisis lies the difference between teaching and learning transfer. Teaching is an external process led by the instructor, while learning is an internal brain-based process that learners must accomplish themselves. Classroom explanations, lectures and demonstrations are inputs — but learning requires the formation of brainpage modules, motor engagement, and active processing of knowledge transfer. When schools focus primarily on teacher performance, teaching style, and classroom talk, they overlook the essential engine of learning – the learner's brain. This creates a situation where teachers work hard to deliver content, but students show limited progress because the architecture of learning is never activated.

Another critical issue is the dominance of passive learning environments, also known as talking classrooms. In these settings, the teacher speaks, explains and questions, while students listen, memorize, and reproduce information. Such verbal-heavy environments trigger the mirror neuron system, leading students to imitate behavior rather than internalize knowledge. Without motor participation — writing, solving, constructing, mapping and creating — the brain cannot convert input into memory or skill. The result is a fragile form of learning that collapses after exams and fails to build long-term competence.

Standardized assessments further deepen the crisis by rewarding rote memorization instead of understanding. Many students learn to pass tests rather than build knowledge modules. The system reinforces short-term cramming, not durable learning transfer. The pressure to “teach the syllabus” pushes teachers to rush through content, leaving no space for brainpage making, cyclozeid rehearsals or hands-on practice. These are the essential tools of real learning. Thus, the myth of effective teaching continues, as the exam results temporarily mask the underlying void of conceptual mastery.

The crisis also emerges from the mismatch between how the brain learns and how schools teach. The neuroscience of knowledge transfer shows that learning is multisensory, motor-driven, context-rich, and built through repeated practice. Yet schooling is largely auditory, static, and time-bound. System Learnography offers a contrasting model — one in which learning originates in student action, not in teacher speech. By developing the Definition Spectrum, Function Matrix, Task Formator, and other KT Dimensions, pre-trained learners actively build brainpage maps and modules of knowledge transfer. When learning is driven by these brain-based mechanisms, understanding becomes natural, retention increases, and skill formation accelerates.

The Taxshila Model further demonstrates that students learn best when they become small teachers, responsible for explaining, solving, and transferring knowledge within miniature school teams. This peer-based knowledge transfer activates deeper neural circuits than listening to adult lectures. It replaces the fear and discomfort of traditional teaching culture with the joy, ownership, and confidence that arise from doing the work of learning.

In fact, the “myth of effective teaching” persists because society confuses teaching activity with learning achievement. But learning does not occur through explanation alone — it emerges from learner-driven brain processing, motor engagement, and continuous practice. To resolve the learning crisis in schools, education must shift from teaching-centered systems to learning-centered models rooted in neuroscience and learnography. Only then can schools move beyond the illusion of teaching effectiveness and unlock the true learning potential of every student.

🎯 Objectives of the Study: Investigating the Learning Crisis in Schools

The purpose of this study is to analyze the gap between teaching and learning, reveal the limitations of conventional school systems, and propose brain-based solutions that address the learning crisis. The following objectives guide the study:

1. To examine the limitations of teaching-centered classroom models

This objective seeks to identify how teacher-driven instruction, lecture-based delivery, and talking classrooms fail to activate the cognitive and motor processes required for deep learning and long-term retention.

2. To investigate the disconnect between teaching input and learning output

The study aims to understand why students often fail to internalize, recall, and apply knowledge even after receiving structured instruction from the teachers.

3. To analyze the role of neuroscience in understanding real learning

By exploring brain mechanisms such as memory formation, motor engagement and brainpage development, the study clarifies how learning actually occurs inside the brain.

4. To evaluate the contribution of passive learning to the learning crisis

This objective focuses on the drawbacks of rote memorization, listening-based learning, and exam-oriented study habits, which contribute to weak understanding and poor skill transfer.

5. To explore the principles of learnography as a brain-based learning model

The study investigates how knowledge transfer, Definition Spectrum, Function Matrix, and other KT Dimensions support durable and meaningful learning beyond traditional pedagogy.

6. To assess the effectiveness of the Taxshila Model and miniature school system

This objective examines how student-led learning, small teachers, and collaborative brainpage development improve learning outcomes compared to conventional teaching.

7. To identify strategies that convert teaching environments into learning environments

The study aims to propose practical approaches for shifting from teacher-centered classrooms to brain-centered learning architecture based on motor science, peer-to-peer transfer, and brainpage creation.

8. To recommend reforms that address the learning crisis in schools

Finally, the study seeks to suggest actionable recommendations for educators, policymakers, and schools to ensure that knowledge transfer results in genuine, measurable, and lasting learning.

Lack of Individualized Learning Transfer

One of the primary drawbacks of the education system is its tendency to prioritize a one-size-fits-all approach to teaching. Students have different learning styles, interests, and paces of learning.

However, the rigid curriculum and standardized assessments often overlook these individual differences, leading to disengagement, frustration and limited academic growth.

A shift towards personalized learning strategies that cater to the unique needs of each student can help overcome this limitation.

Teachers Making Their Own Brainpage during the Class Performance

Teachers become brilliant, qualified and experienced in teaching performance because they rehearse and make their own brainpage during the classroom presentation of problem solving activities.

We don’t need to sharpen the teachers’ brain as they are already qualified in specific subject to give the quality moderation of subject matter. We have to sharpen students’ brainpage in the learning transfer of classroom.

Teaching is everything in school system but it doesn’t conduct learning transfer to student’s brain in the classroom.

Necessity of Homework Justified

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. In this way, home is made school and parents have to play the role of teachers.

Learnography deals with the brainpage theory of knowledge transfer. It states that students’ learning must be finished completely in the classroom by applying the dimensions of learning mechanism.

It is possible only in the cerebellar learnography of brain, when book to brain knowledge transfer runs in learning process and problem solving activities.

Drawbacks of Education System

1️⃣ Education system is not equipped to deal with the challenges of the 21st century

2️⃣ Students are constantly under pressure to perform well on the tests, which can lead to stress and anxiety

3️⃣ Teaching is everything in school system, but home learning is prescribed for problem solving activities.

4️⃣ Brainpage of subject matter is not made in the classroom because of teaching performance.

5️⃣ Working mechanism of brain is not applied for understanding and learning.

6️⃣ Learning management of classroom is not good, but teaching management is not bad in education system.

7️⃣ Beta version testing is the learning mechanism of technology, and teaching is not the beta version of book to brain knowledge transfer.

Types of Learning Science

Cognitive science is mainly based on the surface knowledge of cortical learning. It cannot be converted into the motor knowledge of working ability for livelihood. Skill learning is crucial to be professional in high earning jobs. That is why brain learnography prescribes procedural or implicit brainpage development for learning and working.

Learnography is the improvement of learning experiences in emotions, skill, knowledge and innovation. There are many types of learning science such as emotional learnography, cognitive learnography, school learnography, rational learnography, intuitive learnography, creative learnography and innovative learnography.

High class working ability needs the broad zeidstream of brain mechanisms. Stream(z) is generated in neural pathways through procedural skill, and it is gained from learning by doing, the fine tuning of motor knowledge processing.

Subject Moderators for School Children

School time is mostly spent on teaching activities and it continues for 12 years in children’s brain. Everyday homework is given to pupils for practice, writing and learning.

We know that home is not a school and parents are not professional teachers. Whole learning must be completed in school hours and it is possible in the brainpage theory of system learnography.

Learnography is working for knowledge modulation and brainpage development. Task moderator is the promotion of a school teacher. Homework is not necessary because student's task is moderated in school hours.

The concerned authority of school system has to realize that the outcome of smart brainpage and high grades is vital in the academic achievement of school system.

Biology of Human Brain

The process of knowledge transfer is not defined in the classroom. School education should not be fully dependent on teaching theories and pedagogical methods.

Brainpage development is the fundamental part of school learnography. Modular brain based learning is conducted in classroom instead of teaching.

The biology of human brain is working on imaging, thinking and mapping described by the facts and findings of neuroscience. So, attention is required to association spectrum brainpage modulation that writes tests or exams for high performing schools.

In the modern world of science, maths and technology, students are given quality smartphone with high speed Wi-Fi facility. Instead, they need smart brainpage with high speed zeidstream to obtain excellence in the exams and academic performance.

Unit Object of Learning Transfer

We know that zeid is the smallest object and unit learning of knowledge chapter. It gives object definition to develop learning spectrum by using naming address and definition address. Actually, zeid is the DNA 🧬 of knowledge transfer system.

At first, brain learns definition address to create the naming address of object identity for learning and working. — Shiva Narayan, Village Learnography

Learning mechanism always seeks the matrix of knowledge to create the sequences of brainpage modulation. It develops from the question set or titles of chapter segments.

This definition spectrum dimension provides instance guided object learning (IGOL) to promote learning transfer in the classroom.

Teaching Performance as the Waste of School Hours?

A teacher is working hard in the classroom to provide quality performance. Most of the time is spent on teaching process and motivational control. Students get passive learning while the teacher is found active and making his brainpage during classroom presentation.

Teachers are everything in education system and students are dependent on them for problem solving tasks. They are facing the challenges of work stress, massive loads and long hours. But our community is not satisfied with the outcomes of school performance.

For low grades, teachers are blamed and their hardwork goes in vain. The faults of education system are never discussed.

School hour is utilized for teaching performance and brain learning is done at home as homework. It is fact that high grades are secured from the smart brainpage modules of knowledge transfer.

Dynamic And Live Blackboard Effect (DALBE)

Teachers become brilliant, qualified and experienced in teaching performance because they rehearse and make their own brainpage during the classroom presentation of problem solving activities.

We don’t need to sharpen the teachers’ brain as they are already qualified in the specific subjects to give the quality moderation of subject matter.

We have to sharpen students’ brainpage in the learning transfer of the classroom.

Dependent learning is provided in education system as the teacher is doing everything in the classroom. Students seek help even for simple chapter problems. They don’t have enough courage to face the challenges of algebra or geometry problems.

Children will be intelligent in the brainpage making process of knowledge transfer. They are sent to the high definition learnographic field of DALBE, dynamic and live blackboard effect.

Future of Education System

The cerebellar basal ganglia circuitry of core brain will be used in the learning transfer of classroom to improve the quality of academic achievement. Therefore, the future of education is learnography, the brain science of learning mechanism.

Education can provide quality learning but smart learning is initialized in learnography. Deep learning is subcortical learning and it is triggered by the amygdala system of brain. It is true that the ultimate learning of knowledge chapters is the cerebellar learnography of human brain.

The zeid factors of knowledge transfer generate the learning drives of student’s brain.

Students are lack of confidence to struggle in critical circumstances. It is bitter truth that teaching is the waste of school hours, but teachers are hardworking and honorable to run productive school system in the community.

Brain-based Transfer Learning

The amygdala circuitry of brain describes the processing of learning mechanism, dealing with motivation and emotional engagement. It extracts knowledge modules from hippocampal phase and temporal knowledge storage to take part in the prefrontal processing of modular learning.

The hidden potential of master brain (hypothalamus) may be active to face learning difficulties, and that is the zeid factor of amygdala system, the learning passion of science and technology. The high dream of human life is observed in the temporal lobe of cerebral cortex.

The biology of life regulation is hidden in the diencephalon of subcortical brain known as master brain to manage learning transfer in cortical circuits.

Thalamus system acts as relay station for cortical regions and regulates the functions of brain parts by sending afferent and efferent projections. It also monitors the functions of hypothalamus and amygdala system that provide the zeid factors of life to finish the learning of hard task which seems impossible in nature.

Key Findings: Revealing the Roots of Learning Failure in Education

The persistent learning gaps in today’s classrooms can be traced to fundamental design flaws within the traditional education system. These flaws are not limited to access or infrastructure, but lie in the very structure of teaching and knowledge delivery.

1. Teaching is Input, Not Transfer

Research in cognitive neuroscience and learning sciences confirms that teaching does not guarantee learning. Conventional education focuses heavily on what is taught rather than what is learned. The student’s brain must actively process, rehearse, and internalize knowledge transfer to make it usable. This gap between teaching input and learning output is one of the most overlooked flaws in current educational design.

2. Learnography Shifts the Focus from Teaching to Brainpage Development

Learnography is a science of knowledge transfer through motor learning and brain mechanisms. This approach highlights that learning is best achieved when students create brainpage modules from source materials like transfer books, diagrams or problem sets. These brainpages represent internalized knowledge structured in the memory systems of brain, allowing for efficient recall, application and creativity.

3. Motor Science is Central to Long-Term Learning

Studies in neurology show that physical interaction – such as writing, sketching, solving and building – activates motor circuits that are strongly linked to memory and learning. Learnography integrates motor science into classroom practice. This system states that learning is not just a cognitive process, but it a motorized experience where hands-on engagement triggers deeper understanding and retention.

4. Definition Spectrum Enhances Deep Understanding

In learnography, the definition spectrum refers to the layered understanding of terms, concepts and functions as processed through context, application and individual experience. Rather than memorizing dictionary-style definitions, students explore how definitions operate in different subject contexts. This approach cultivates flexible thinking and mastery across varied knowledge domains.

5. Taxshila Model Replaces the Pain of Teaching with the Joy of Learning

The Taxshila Model of school design builds on miniature schools and model classrooms. Here, students become small teachers and knowledge is transferred peer-to-peer sharing. Instead of relying solely on a top-down teaching model, Taxshila encourages collaborative brainpage making, and cyclozeid rehearsals (spaced practice guided by brain rhythms). Active learning from structured environments is designed to match how the brain naturally acquires knowledge.

6. Current Assessment Systems Discourage Real Learning

Standardized tests reward memory recall over applied understanding. This reinforces short-term cramming behaviors rather than long-term brainpage development. In contrast, learnography encourages brainpage-driven assessments, where students demonstrate mastery through active production – such as solving, modeling, creating, writing and explaining.

📘 These findings clearly suggest that current education systems must evolve from teaching-heavy institutions into learning-driven ecosystems. The educators can unlock the full learning potential of every student, by integrating the principles of learnography, brainpage development, and motor-based learning transfer.

The recent insights from neuroscience, motor science and the emerging field of learnography reveal that learning is not simply the outcome of teaching. This is the result of brain-based processing, practice and internalization.

The key findings above uncover how ineffective classroom strategies, lack of motor engagement, absence of personalized brainpage development, and the neglect of learning transfer mechanisms contribute to the systemic failure of education.

Understanding these findings offers a path toward transforming passive classrooms into active learning spaces, where students can unlock their full cognitive and creative potential.

📢 Call to Action: Transform Teaching Into True Learning

The learning crisis in schools will not resolve itself — and it cannot be solved by simply adding more teaching. Real change begins when we shift from teacher-centered instruction to student-centered knowledge transfer.

⏰ It’s time to place the brain, not the blackboard, at the heart of schooling.

✨ Let’s challenge the myth of effective teaching and build a system where learning truly happens.

1. Educators:

Re-design your classrooms to promote active brainpage development, hands-on practice, and motor-driven learning tasks. Move beyond explanation — ignite motor engagement.

2. School Leaders:

Adopt learnography, miniature schools, and peer-based knowledge transfer to create real and lasting understanding.

3. Parents:

Advocate for learning environments that prioritize skill-building, creativity, and comprehension over memorization and exam scores.

4. Policy Makers:

Support brain-based reforms that nurture 21st-century learners capable of thinking, solving, and innovating.

5. Students:

Take ownership of your learning — build brainpages, ask questions, practice deeply, and engage actively in every learning opportunity.

Let’s create classrooms where learning is not a myth — but a daily reality.

📚 The future of education depends on our willingness to rethink old assumptions.

Research Resources : Learning Crisis in Modern Education

The modern education system celebrates teaching as the centerpiece of academic success. Teachers lecture, explain, motivate, and assess — forming the backbone of classroom activity. Yet despite this immense teaching effort, student learning outcomes remain disappointingly low across the globe.

This contradiction exposes a deep and persistent myth — that effective teaching automatically results in effective learning. In reality, teaching is merely the delivery of information, while learning is a complex neurological process that occurs inside the student’s brain.

📝 Topics of the Research Study:

  1. Teacher-Centric Approach in Education System
  2. Limitations of period teaching school system
  3. Teaching methods of pedagogy
  4. Real-world application of knowledge transfer
  5. Lost in Transition: Exploring the Challenges in Knowledge Transfer within Education Systems
  6. Importance of motor knowledge and school hours
  7. Amygdala system of working brain and memory formation
  8. Roles of master brain and especially hypothalamus in learning transfer
  9. Dependent learning in school system
  10. Education Reform: Tackling the Drawbacks of Conventional Teaching Approaches

The analysis of knowledge transfer investigates the roots of the learning crisis hidden behind the polished image of classroom teaching. The crisis emerges from a profound disconnect between what teachers teach and what students actually learn, remember, and apply. Cognitive science shows that learning depends on brainpage formation, motor engagement, and repeated practice — not passive listening or rote memorization. Conventional classrooms, dominated by verbal explanation and teacher-centered control, seldom activate the motor circuits and memory pathways required for deep understanding.

The “talking classroom” is a central feature of conventional schooling, further amplifying the problem. In such environments, students imitate teacher's talking behavior through mirror neurons, but struggle to internalize knowledge. Without the integration of motor science — writing, solving, mapping, building — classroom learning remains shallow and temporary. This is why students often forget concepts after exams and fail to apply them outside the textbook context.

Learnography and the Taxshila Model offer a powerful alternative. Instead of focusing on teaching performance, they emphasize knowledge transfer through brainpage making, cyclozeid rehearsals, and student-driven action. The model transforms learners into “small teachers” within miniature schools, enabling peer-to-peer interaction and collaborative problem-solving. These processes engage the Definition Spectrum, Function Matrix, Task Formator, and other KT Dimensions that foster deeper cognitive processing and skill mastery.

📎 The Silent Failure of Education: Teaching Without the Internalization of Knowledge Transfer

Author: 🖊️ Shiva Narayan
Taxshila Model
Learnography

👁️ Visit the Taxshila Research Page for More Information on System Learnography

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