Learning transfer refers to the degree to which an individual applies previously learned knowledge and skills to new situations. It is the primary reason for formal learning interventions—like courses, as well as informal interventions—explaining how to perform a task at a meeting.
Near and Far Transfer
All types of transfer are not equal. Near transfer occurs when a new situation resembles the situation in which the skill or knowledge was learned. When a technician learns to replace a motherboard in a desktop computer, this skill will be transferable to replacing other circuit boards in the computer. In near transfer, the application of prior learning is likely because the situations are similar. Near transfer knowledge is usually repetitive, such as tasks that reproduce a process or procedure.
The more difficult type of transfer occurs when the learning situation and the new situation are dissimilar. This is known as far transfer, which may involve applying principles, implementing strategies and using judgement to solve problems. For example, after a manager attends a course on dealing with difficult employees, he or she may still not have the skills to handle certain unpredictable situations, such as workplace violence.
Barriers to Learning Transfer
Researchers who study learning transfer say there are many barriers to the application of prior learning to new and different situations. Becoming aware of these barriers can help us understand why it is difficult to design successful learning experiences and help us to overcome the obstacles. Barriers to transfer do not just occur when a person attempts to apply new knowledge and skills in the workplace. They can occur before, during and after a learning intervention (Thomas, 2007). Let’s look at some key barriers to learning transfer in each of these time frames.
Before Learning
- Lack of motivation. When a person has no interest in the content or feels it is a waste of time, he or she will have trouble learning. This is all too common in highly regulated industries where employees are required to take compliance training. It is also common in organizations with a “command and control” philosophy, where training requirements are dictated from the top down. This is why empathy for the audience is a key principle of design thinking. Through empathy we may find the answer to the “what’s in it for me?” question and build on that to try to get learners engaged. See 30 Ways to Motivate Adult Learners.
- Apprehension/lack of confidence. Learners may have fears about their abilities to learn a new skill or tackle a new subject. Defeatist and anxiety-producing emotions are counterproductive to learning. One study investigated the predictive factors for successfully learning how to program a computer. Researchers found that level of comfort was the most reliable factor for predicting success or failure (Wilson & Shrock, 2001).
During Learning
- Lack of prerequisite knowledge. Although this may be too obvious to list, a lack of foundation knowledge or skills make it difficult to comprehend and retain new information. There is no network of knowledge for analogical thinking nor for connecting new knowledge. Ideally, a learning experience will have many touch points, including a way to indicate the required prerequisites as well as varied forms of remediation and support.
- No opportunities for retrieval practice. Retrieval-based learning involves repeatedly recalling information across multiple sessions during and after a learning experience. This strategy appears to be a key factor for retention and transfer. A simple example is the use of flashcards to remember factual information, such as when healthcare workers memorize medical abbreviations. A more complex context is learning principles and strategies for solving unique problems. Then, role plays and simulations provide opportunities for retrieval practice. See this article to learn more about retrieval practice.
- Negative transfer or interference. Negative transfer occurs when previous experience interferes with learning something new. For example, when a person has learned to drive on one side of the road this skill may interfere with learning to drive on the other side of the road. Or when a person has recently learned French, this knowledge may interfere with learning German. Overcoming interference requires metacognitive strategies and sufficient practice.
After Learning
- Failure to design for transfer. The failure to design learning experiences that integrate across the boundaries of formal learning and into the workplace is a major barrier to transfer. Complex learning requires some type of systematic follow-up support in the form of discussion, coaching, observation and feedback, scaffolding and performance support, to name a few.
- Lack of opportunity to practice the transfer. Similar to the lack of opportunities for retrieval practice during a learning experience, this principle must be singled out as a barrier to transfer after a learning event. Without opportunities to practice knowledge and skills in new settings, an individual will have no way to modify his or her existing schema (theoretical network-like structures for organizing information). Not only is practice important, but it should occur in non-repetitive and unpredictable situations.
Additional Solutions for Overcoming Barriers
Please see these articles on ways to enhance learning transfer:
- How To Increase Learning Transfer
- How Your Workplace Can Support Learning Transfer
- The Power of Retrieval Practice for Learning
- eLearning For Soft Skills: What works?
References:
- Bouzguenda, K. Enablers and Inhibitors of Learning Transfer from Theory to Practice in Schneider, K. (Ed), Transfer of Learning in Organizations. Springer, 2014.
- Kaiser, L., Kaminski, K., and Foley, J. Learning Transfer in Adult Education: New Directions for Adult and Continuing Education. Wiley, 2013.
- Leberman, S., McDonald, L., Doyle, S. The Transfer of Learning: Participants’ Perspectives of Adult Education and Training. Gower Publishing, Ltd., 2006
- Thomas, E. Thoughtful Planning Fosters Learning Transfer. Adult Learning 18(3-4), 4-8.
- Wilson, B. C., & Shrock, S. Contributing to success in an introductory computer science course: A study of twelve factors. Proceedings of the Thirty-Second SIGCSE Technical Symposium on Computer Science Education. March, 2001.
Connie Malamed says
Nice additions. Thanks, Stephen.
Stephen Sunguro says
Connie, How refreshing to read! Thank you. Designing learning experiences have always been a challenge for learning developers. In my view, relevance of material, time to practice skills and new learning, rather than merely individual support are essential for successful training interventions.
Connie Malamed says
Hi John,
Yes, I see your point about the language. Interesting. Thanks for pointing that out.
Connie
John McNamee says
Hi Connie,
I subscribe to a number of elearning discussion forums in LinkedIn and I’m not convinced that the computer model of human learning is dying. Even though academia may be moving on, almost all of the writing have echos of the mechanical narrative of information processing. To “take into account so many other factors, such as the environment, the human body, gestures, social, biology, etc.” is obviously the correct path for inquiry, the problem is that the language used to take all this into account is structured in the natural science paradigm. And that, IMHO, is not helpful. I think we need a different language to express the interconnectedness of ” environment, the human body, gestures, social, biology, etc.” which essentially is ontological, as is human learning. Just a thought.
Connie Malamed says
Hi Ed,
Good timing! Please add the best ideas from your class, if you have the time.
Connie
Connie Malamed says
Hi John,
Thanks for giving us your excellent opinion. I agree that the computer model is not appropriate, but I am under the impression that cognitivism is moving past that model. It’s very difficult to understand how we learn, but we now can take into account so many other factors, such as the environment, the human body, gestures, social, biology, etc. So I don’t think the barriers to learning necessarily have to be equated with an outdated model. We just have to know how to get over the obstacles.
At the end of your comment, you said, “The question you asked in not new.” I’m not sure why you said that but I have a list of references at the end, so I am aware that this has been researched for decades. That’s why I like to review and translate the more recent research into practical solutions. Hope to hear from you again!
Connie
John McNamee says
After 40 years in this discipline, I’m convinced that cognitivism has outlived its usefulness. Based primarily on the analogy of a computer modelling the brain the narrative has infected the thinking to the degree that it is very difficult to see an alternative. Research projects have perpetuated the dubious concepts that structure the discourse on human learning. The holy grail is to find the key to explaining, describing and therefore, improve human learning through natural science methodologies. INHO, this is not possible, ever. Such endeavours have produced over 50 theories on learning. Why do you think that is? The question you asked is not new, in fact, you can find such questions in the literature in the 1970s and 80s. And I know that a student somewhere on the planet is formulating a similar question for her research project. And so it goes on.
Just a thought.
Ed Crane says
Looking forward to reading this…coincidentally, we are studying this very question in my Adult Learning Theory class at Boise State.
Edith Crawford says
Thanks Connie for your input and suggestions! I greatly appreciate it…
Connie Malamed says
Hi Edith,
Offhand I don’t know of research for transfer of procedures, but that should be closer to Near Transfer so I would start my research there. As to strategies that could work, please see the links at the end of this article. I have written three other articles about strategies that you should research. Finally, look into Performance Support as a solution for improving the performance of procedures.
Good luck!
Best,
Connie
Edith Crawford says
Great article! I was happy to see this article. I am doing my masters research project on “learning transfer of procedural content for call center employees.” Do you have any suggestions of effective or less effective ID strategies that you have seen?
Connie Malamed says
Thank you, Emiliano. I’ll check out your website.
Best,
Connie
Emiliano De Laurentiis says
Well put!
I have been working on this problem for decades. I believe that my robot learning platform addresses many of the points that you make and makes it easier to create content using the principles that you mention. I’d be happy to demo it for you if you wish. You may get a preview at knowledgeavatars.com