Hugging and Bridging: Breaking the Curse of "Inert Knowledge"

In this lecture, we explore a core challenge in education: how to break the curse of “inert knowledge” and achieve true practical application. By analyzing the “Hugging” and “Bridging” strategies of Perkins and Salomon, and combining them with the reading methods of Su Dongpo, we reveal the underlying path to enhancing knowledge transfer.

Inert Knowledge: Why Do Scholars Become “Useless”? #

This is the final lecture in our learning and education section. Let’s talk about how to apply what we’ve learned.

Confucius said: “In ancient times, scholars learned for themselves; today, scholars learn for others.” Reading should originally be for self-improvement; selling it to others for use is already a lower level. Today’s “exam experts” who read only for tests are even more pitiful.

1950s early, physicist Richard Feynman spent ten months in Brazil teaching physics to university students. He found that Brazilian students’ way of learning physics was quite bizarre compared to American students [1].

If you asked a question using the standard textbook method, Brazilian students could answer fluently and even perform precise calculations with formulas. But if you slightly changed the wording, they were lost. They were very familiar with concepts like “refractive index” and “Brewster’s angle,” yet they didn’t even know that water and glass are media with refractive indices…

Feynman later stated in a public speech: “No science is being taught in Brazil” [2].

These exam experts just memorized a lot of knowledge points without connecting them to the real world, so their application ability was zero. More terrifyingly, they didn’t care.

If we teach “physics class” instead of true “physics,” the resulting students will only know how to take exams, and those who pass will only teach the next generation how to take exams. Education thus becomes a Ponzi scheme.

Learning should make people more capable. If you can perform operations others can’t, handle things others can’t, or manage relationships others can’t, that is true talent. Why do so many scholars end up becoming “useless”?

This is the problem of “transfer of learning.”

As early as 1929, philosopher Whitehead criticized “armchair” education [3]. He said students just fill their heads with information fragments—able to recite but unable to use—which he called “inert ideas” or “inert knowledge.”

But why does knowledge stay stuck in the mind? Many years later, researchers proposed [4] that this is because you cannot connect the “textbase” with the “situation model.” Simply put, you haven’t linked textbook knowledge to your personal experience, background, and actions.

In terms of the concepts we discussed earlier, you have only learned a lot of “representations” without truly mastering “mental models.” The criterion for mastery is not whether you understand it, but whether you can “transfer” what you learned in one place to another scenario. Can you still recognize the structure when the context changes?

Low-level knowledge transfer is “near transfer”—doing the same problem with different numbers. High-level transfer is “far transfer”—applying knowledge from one field to another, such as using statistical thinking in investing, negotiation strategies in marriage, or a sense of history in corporate governance.

Knowledge transfer does not happen automatically. Moving from “learning” to “using” requires unlocking three doors [5]:

1. The Representation Lock: You learned representation fragments, not mental models.
2. The Trigger Lock: You understand the theory, but there are no cues to wake up old knowledge when facing reality.
3. The Ecology Lock: Even if awakened, there is no feedback, no practice, and no support, causing a quick return to old habits.

However, these locks have solutions.

Hugging and Bridging: Cognitive Strategies of Perkins and Salomon #

In 1988, Harvard psychologists David N. Perkins and Gavriel Salomon proposed an insight [6]: the reason knowledge doesn’t transfer is that we don’t provide application contexts when learning. We learn in a “dust-free laboratory.”

The brain’s retrieval mechanism relies heavily on “context”—the very specific scenario containing that knowledge. When you learn physics formulas, you store them in folders related to physics class and exams. A mechanical problem you encounter on the street is a completely different context; your brain won’t automatically scan the “class and exam” folders. Thus, you won’t remember how to use it.

To apply what you’ve learned, you must actively provide context during the learning process.

Perkins and Salomon call near-context transfer “low-road transfer.” It occurs between similar contexts, and the corresponding teaching method is to simulate a typical scenario and practice extensively, such as a doctor performing surgery. Transferring to distant fields is called “high-road transfer,” which emphasizes abstraction and analogy—a more advanced form of cognitive engineering [7].

Perkins and Salomon proposed two targeted teaching strategies: “Hugging” for low-road transfer and “Bridging” for high-road transfer.

These two strategies have been verified as effective over time [8]. Let’s examine each in detail.

Hugging: Establishing Automatic Trigger Mechanisms in Context #

Hugging means establishing context directly in the classroom, making teaching closer to future application scenarios so that knowledge grows in the soil where it will eventually be used.

If you want someone to be good at negotiating, don’t just lecture on “negotiation principles.” Have them actually negotiate in a scenario with time pressure, emotional fluctuations, and incomplete information. This way, when they need to use it, similar stimulating conditions will automatically trigger a skilled response.

Medical schools understand this teaching method well. You can’t learn medicine on paper. Even if you understand the theory perfectly and memorize the procedures, what do you do on-site when the patient is screaming, the team is panicking, and time is running out? Will your emotions be hijacked? Will you misjudge because of stress?

The correct teaching method is simulation training—simulating both the illness and the pressure. Only after meeting simulation standards do you start the job. Research shows that simulation-trained students are not only more skilled but also make fewer mistakes, leading to better patient outcomes [9].

From the perspective of “hugging,” the traditional method—a teacher lecturing while students take notes and occasionally speak—is quite unnatural, even absurd. A doctor cannot learn surgery by listening; a carpenter doesn’t learn their craft by taking notes. How can we expect university students to become scientists through lectures and notes? Or expect MBA students to learn business leadership by discussing decisions of famous leaders in a case study class?

True hugging involves roles, pressure, incomplete information, time constraints, and preferably some consequences. Knowledge is not “understand first, then act”; often, it is “hold on in the context first, then gradually understand.”

The goal of hugging is to establish an “automatic trigger mechanism”: meeting a situation immediately triggers the relevant knowledge. Where to pay attention, how to judge, and which actions to take—all must be trained holistically within a specific context to become part of you.

Bridging: Extracting Deep Principles for Cross-Disciplinary Transfer #

If hugging relies on “likeness,” then “bridging” relies on “thinking.” Since it’s impossible to simulate all scenarios in a classroom, you must have the abstract ability to “infer other things from one fact” to achieve far transfer.

Bridging involves extracting the “schemas” and “mental models” we discussed earlier from a specific scenario and analogizing them to other scenarios. You must learn to see common structures in two seemingly very different situations.

For example, if you just learned about evolution and the concept of “natural selection,” it remains inert knowledge if you only treat it as biological facts. But if you can “bridge” it—finding that the survival of the fittest in companies, or even the evolution of pop songs, follows a logic strikingly similar to evolution—then you have truly learned it.

But bridging doesn’t happen automatically; untrained individuals don’t know what structures to extract. For instance, if given a physics exam with various problems and asked to categorize them, a novice might group them into “inclined plane problems,” “pulley problems,” or “spring problems”—focusing on surface features. An expert, however, sees that some test the conservation of energy and others require Newton’s Second Law—they categorize based on deep principles [10].

Without seeing deep structures, many people can solve problems similar to examples but fail when the problem is rephrased or the application scenario changes.

How do we teach people to see deep structures? Researchers found that the best way is to place two cases from different scenarios together and have students compare them directly [11]. For example, a business school professor might present two cases simultaneously:

Case 1: A Middle Eastern merchant orders goods from China. The Chinese exporter wants to ship by sea (cheaper), but the merchant wants air freight (fearing a US blockade of sea routes). What should be done?

Case 2: Two brothers inherit a farm. The elder wants to sell now to get cash; the younger thinks market prices will be better next year and wants to hold for a year. Who should they listen to?

Though these scenarios look different, the solution is the same:

In the freight case, the parties sign a “contingency contract”: ship by air while monitoring sea routes. If sea routes remain open, the merchant pays for the air freight; if sea routes are blocked/delayed, the Chinese manufacturer pays.

In the farm case, hold the farm for a year. If the price rises, the younger brother gives the elder a larger share; if it falls, the younger brother compensates the elder.

Intelligent people might find the analogy obvious, but research shows this direct comparison method is highly effective, doubling the transfer rate.

As you become skilled, bridging further divides into two types [7]: “forward-reaching bridging”—actively asking how what you’re learning can be used elsewhere in the future; and “backward-reaching bridging”—asking if a new difficult problem resembles a model you learned before.

With the awareness of extracting and applying mental models, you’ll find familiar structures everywhere.

Personal Practice: How to Train Your Transfer Ability? #

In summary, hugging puts knowledge back into the field where it will work; bridging extracts knowledge from the original field into reusable mental models. One grounds knowledge; the other helps it transcend its boundaries.

Now, switching to the student’s perspective: how can you use hugging and bridging to train your own knowledge transfer ability?

Consider personal knowledge management. After reading a book, perform forward-reaching bridging: what structure does this book explain? In which three future scenarios am I most likely to use it? Then perform hugging: simulate a specific scenario and ask yourself, “If I use it, what is my first action?” This equips the knowledge with a trigger.

Or consider transferring workplace skills. You might have learned much about communication, negotiation, management, and writing, but it remains superficial without practice. You need hugging: for a specific skill, find a real meeting, a real WeChat interaction, or ideally a real conflict for small-scale training. Afterward, write a comparison note: how did this scenario differ from the book’s cases on the surface? How were they similar deep down? What signals should I look for next time to call upon this model? This forms a bridge.

Hugging → Summarizing → Bridging → Re-hugging… this is how you master true skills.

Ultimate Example: Su Dongpo’s “Attacking from Eight Sides” Reading Method #

Finally, let’s look at an ultimate example of “hugging” and “bridging”: Su Dongpo.

Su Shi (Su Dongpo) was not only a master of poetry, lyrics, essays, calligraphy, and painting—innovating in all—but also a capable official with profound philosophical thoughts, leaving numerous anecdotes wherever he went. How was he so extraordinary?

First, Su Shi read extensively. Born into a literary family, he lived during an era of expanding printing, advancing school systems, and surging literary output in the Song Dynasty. He had a vast amount of “training data.” But reading a lot isn’t enough. Su Shi’s first brilliance lay in compressing representations and extracting numerous schemas and mental models—as he put it, “read widely but pick the essentials; accumulate deeply but release thinly.”

This laid the foundation for hugging and bridging.

Second, Su Shi was not a purely academic figure. He was an official, a local administrator, a constant traveler, and a participant in political storms—these provided the best hugging. If one only lives in concepts, language becomes lighter, slicker, and more false. Su Shi’s depth came from simultaneously living within systems, disasters, journeys, pain, nature, and human relationships.

Most people would have collapsed under such complex experiences. Yet Su Shi not only endured but lived with increasing elegance.

Why? Precisely because he accumulated a vast array of mental models, he was excellent at emotional regulation and possessed a stable personality, never becoming resentful or rigid. He always maintained attitudes like “I do not regret dying in the barren south,” “Let there be no wind, rain, or sunshine,” and “Where my heart is at peace, there is my home.” This was his second brilliance. His reading wasn’t in vain; he applied it in various contexts, creating a healthy chemical reaction with reality.

This chemical reaction is the best form of bridging. To achieve this, you must read different meanings into a single model and imagine various scenarios—what Su Shi called “never tire of reading an old book a hundred times; through deep thought, you will understand it naturally,” also known as “attacking from eight sides.”

Su Shi’s third brilliance was his mastery of “high-road transfer”—bridging two seemingly distant things. While most can only quote classics, Su Shi could pull classics, politics, nature, Buddhism, daily experience, and life encounters into the same internal space (in AI terms, a “latent space”), mixing them to generate new expressions.

Su Shi’s writing was an act of mobilizing the world.

Reaching this level is the ultimate state of reading: not just storing knowledge, but reorganizing it. It allows knowledge to embrace reality and reality to be extracted into models. Finally, knowledge and reality become one, ready to be called upon and mixed for creation.

Conclusion: The Ultimate State of Reading #

The ultimate state of reading is self-improvement—making books a part of yourself, like Su Dongpo. The middle state is practical application—gaining talent and ability. Reading merely for exams, as many do today, is a very low level.

Unfortunately, modern educational systems are organized around exams. But for aspiring scholars, this doesn’t matter. You can always teach yourself—after all, Su Dongpo wasn’t produced by any famous university.

A Poem in Praise:

Meishan’s sword-qi pierces the sky, Ten thousand scrolls mastered for the fray. Pity those drilling old papers for years, Angry at those trapped in the exam’s snare. Do not fill your granary with mere phrases, Take the divine strategy to forge your spear. Bear not to see the soul’s mirror buried in dust, Join the spring river and play with the living waves.

Notes

[1] Feynman, Richard P., and Ralph Leighton. Surely You’re Joking, Mr. Feynman! Adventures of a Curious Character. New York: W. W. Norton, 1985.

[2] Feynman, Richard P. “The Problem of Teaching Physics in Latin America.” Keynote speech transcript, 1963.

[3] Whitehead, Alfred North. The Aims of Education and Other Essays. New York: Macmillan, 1929.

[4] Kintsch, Walter. “Text Comprehension, Memory, and Learning.” American Psychologist 49, no. 4 (1994): 294–303.

[5] Barnett, Susan M., and Stephen J. Ceci. “When and Where Do We Apply What We Learn? A Taxonomy for Far Transfer.” Psychological Bulletin 128, no. 4 (2002): 612–637.

[6] Perkins, David N., and Gavriel Salomon. “Teaching for Transfer.” Educational Leadership 46, no. 1 (1988): 22–32.

[7] Perkins, David N., and Gavriel Salomon. “Transfer of Learning.” In International Encyclopedia of Education, 2nd ed. Oxford: Pergamon Press, 1992.

[8] For example, Green, Jonathan H. “Teaching for Transfer in EAP: Hugging and Bridging Revisited.” English for Specific Purposes 37, no. 1 (2015): 1–12.

[9] Barsuk, Jeffrey H., Elaine R. Cohen, Joe Feinglass, William C. McGaghie, and Diane B. Wayne. “Use of Simulation-Based Education to Reduce Catheter-Related Bloodstream Infections.” Archives of Internal Medicine 169, no. 15 (2009): 1420–1423.

[10] Chi, Michelene T. H., Paul J. Feltovich, and Robert Glaser. “Categorization and Representation of Physics Problems by Experts and Novices.” Cognitive Science 5, no. 2 (1981): 121–152.

[11] Loewenstein, Jeffrey, Leigh Thompson, and Dedre Gentner. “Analogical Encoding Facilitates Knowledge Transfer in Negotiation.” Psychonomic Bulletin & Review 6, no. 4 (1999): 586–597.