Recommended resources
The freely available resources this lesson will direct you to.
Hello! Welcome to the fifth module of our course, "From Theory to Practice: Knowledge Transfer."
In our last lesson, you designed a structured, interleaved practice session. The core purpose of that exercise—mixing related concepts to improve your ability to discriminate between them—was to make your knowledge more robust and applicable. In essence, you were designing for the transfer of learning. Today, we'll formalize that idea.
Our learning outcome is to explain the difference between 'near transfer' and 'far transfer' of skills. Understanding this distinction is fundamental to your goal of improving how you apply knowledge. It helps you become more deliberate about the kind of application you're aiming for: are you trying to get better at applying a skill in a familiar context, or are you trying to adapt a core principle to a completely new domain?
What is Knowledge Transfer?
At its core, knowledge transfer is simply the process of applying something you've learned in one situation to another. We don't learn things just to know them; we learn them so we can use them.
To get a quick and clear introduction to the concept, please watch this short video from Education Week.
What Is ‘Transfer of Learning’ and How Does It Help Students?
This video, titled 'What Is ‘Transfer of Learning’ and How Does It Help Students?', provides a concise definition of transfer and introduces the key terms for today's lesson: 'near' and 'far' transfer.
Please watch the entire video (it's just over one minute). Pay close attention to the examples given for both near and far transfer.
The video introduces a key idea: transfer depends on the similarity between the learning context and the application context. As a more formal way of thinking about this, learning scientist Scott Young explains that transfer is a product of overlap. The more two skills overlap in their underlying procedures or knowledge, the more likely transfer is to occur.
Near vs. Far Transfer: A Continuum of Similarity
The concepts of "near" and "far" transfer aren't two distinct categories, but rather two ends of a spectrum. The "distance" of the transfer depends on how much the new situation differs from the one in which you originally learned the skill.
An Intuitive Example
Let's start with a simple analogy, which is explained well in the following article.
The article 'Models of learning transfer' from People Alchemy provides some very intuitive examples to help build a feel for this concept before we get into a more formal definition.
Please read from the beginning of the article down to the end of the section 'Shoelaces and taps'. Focus on how the examples of tying shoelaces, using taps, and opening doors illustrate the difference between near and far transfer.
As the article illustrates:
- Near Transfer: After learning to tie your shoelaces on one pair of shoes, you can automatically tie the laces on any other pair of shoes. The context and task are nearly identical. The skill transfers with little conscious effort.
- Far Transfer: You have only ever used taps with turnable knobs. You encounter a tap with a push button. To solve this, you can't just apply the same automated motor skill. You have to access a higher-level concept—"this device controls water flow"—and adapt your strategy. This is far transfer.
In your work as a designer, you rely on near transfer constantly. When you use a familiar component from a design system in a new screen, you're not re-learning how it works; you're performing near transfer.
A More Structured Framework
To make this distinction more precise, we can break down the "context" into several dimensions. A change along any of these dimensions increases the "distance" of the transfer, moving it further along the spectrum toward "far" transfer.
The guide "Retrieval Practice and Transfer of Learning" offers an excellent table that categorizes these changes. Please study it carefully.
[PDF] RETRIEVAL PRACTICE AND TRANSFER OF LEARNING:
This guide from RetrievalPractice.org provides a detailed, structured look at what constitutes near versus far transfer. The table is the key takeaway here.
Please read the section 'TRANSFER COMES IN MANY FORMS' on page 4. Focus on the table that breaks down the dimensions of context change (Knowledge, Physical, Time, Task, Functional, Format) and how they define the difference between near and far transfer.
Here’s a summary of those dimensions, applied to your background in UX/UI design:
| Dimension | Near Transfer Example | Far Transfer Example |
|---|---|---|
| Knowledge | Applying principles of visual hierarchy from a mobile app project to a new website project. | Applying principles of visual hierarchy to design a compelling presentation slide deck for stakeholders. |
| Physical | Using a technique learned in a workshop in your own office the next day. | Using a brainstorming technique learned at a conference call in a real-world, on-site client meeting a month later. |
| Time | Remembering a keyboard shortcut you learned this morning. | Applying a design principle you learned in your university course years ago. |
| Task | Using your skill with Figma's prototyping tools to build an interactive mockup for a new feature. | Using your understanding of user flows to help a friend map out the customer journey for their new coffee shop. |
| Functional | Using knowledge from a UX course to answer questions on a certification exam. | Applying your knowledge of user-centered design to improve your own learning process (e.g., treating yourself as the 'user'). |
| Format | Applying feedback from a written design review to your Figma file. | Explaining the rationale for a design choice verbally in a high-stakes meeting, based on principles you've only ever read about. |
As you can see, far transfer requires you to be more flexible and abstract. It's about extracting the underlying principle from the original context and reapplying it in a novel way. This is often described as a "mindful" process, whereas near transfer can be almost automatic.
Test your understanding!
For each scenario below, identify whether it's primarily an example of near transfer or far transfer, and briefly explain why based on the dimensions in the table.
- A developer learns the
map()function in JavaScript to transform an array of numbers. They later usemap()to transform an array of user objects into a list of user names for a UI component. - A UX designer, skilled in creating user journey maps for digital products, uses the same principles to map out the process for a patient navigating a hospital system for the first time.
- You read a book about the "Jobs to be Done" framework for product development. You then use its core idea—understanding the user's underlying goal—to reframe how you approach a difficult conversation with a colleague, focusing on their underlying needs rather than their stated position.
Show answer
- Near Transfer. The core skill (
map()function) and knowledge domain (JavaScript) are identical. The main change is the task (from numbers to objects), but it's a very similar application of the same technical procedure. - Far Transfer. While the core task is "mapping a journey," the knowledge domain (digital product vs. healthcare system) and physical context (digital interface vs. physical hospital) are significantly different. The designer must abstract the principles of journey mapping away from their typical context.
- Far Transfer. This is a clear example of far transfer across the knowledge and functional dimensions. A principle from product development is being applied to interpersonal communication—a completely different domain and purpose. This requires significant abstraction and adaptation.
Why This Matters For Your Learning Goals
Understanding this distinction helps you be more strategic.
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Training for Near Transfer: When you need a skill to be reliable and efficient in a predictable environment, you should design your practice to be as close to the real-world context as possible. This is about building routine expertise. The interleaved practice session you designed in the last lesson is a great example of this—it helps you get better at choosing the right UX method for the kind of problems you face at work.
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Training for Far Transfer: When you want to be innovative or apply your skills to new fields (like applying design thinking to data analysis), you need to focus on the underlying principles. This is about building adaptive expertise. It requires you to ask "Why does this work?" and "What is the general principle here?" so you can detach the knowledge from its original context.
Successfully applying your design expertise to adjacent fields like coding and data analysis is a goal that heavily relies on far transfer. You won't be transferring specific Figma shortcuts, but rather higher-order problem-solving skills, systems thinking, and your empathy for the end-user (in this case, the person who will consume the data analysis).
Conclusion
Today we've unpacked the concept of knowledge transfer, a critical component of making your learning useful.
Key Takeaways:
- Knowledge transfer is the application of learning from one context to another. It's the ultimate goal of education.
- Near Transfer occurs when you apply a skill in a context that is very similar to the one where you learned it. It's often fast and automatic.
- Far Transfer occurs when you apply a principle or skill in a context that is very different from the original. It requires mindful effort and abstraction.
- The difference between near and far transfer lies on a continuum determined by the "distance" across dimensions like knowledge, task, and time.
What's Next?
Now that you can distinguish between near and far transfer, the logical next step is to explore how to facilitate it. In our next lesson, we will focus on a powerful technique for bridging the gap between theory and practice: using concrete examples from your design work to anchor abstract concepts. This strategy is especially powerful for making abstract ideas (like a new coding concept) tangible, which is a key step toward enabling both near and far transfer.