Transfer of learning occurs when people apply information, strategies, and skills they have learned to a new situation or context. Transfer is not a discrete activity, but is rather an integral part of the learning process. Researchers attempt to identify when and how transfer occurs and to offer strategies to improve transfer.
The formal discipline (or mental discipline) approach to learning believed that specific mental faculties could be strengthened by particular courses of training and that these strengthened faculties transferred to other situations, based on faculty psychology which viewed the mind as a collection of separate modules or faculties assigned to various mental tasks. This approach resulted in school curricula that required students to study subjects such as mathematics and Latin in order to strengthen reasoning and memory faculties. [1]
Disputing formal discipline, Edward Thorndike and Robert S. Woodworth in 1901 postulated that the transfer of learning was restricted or assisted by the elements in common between the original context and the next context. [1] The notion was originally introduced as transfer of practice. They explored how individuals would transfer learning in one context to another similar context and how "improvement in one mental function" could influence a related one. Their theory implied that transfer of learning depends on how similar the learning task and transfer tasks are, or where "identical elements are concerned in the influencing and influenced function", now known as the identical element theory. [2] Thorndike urged schools to design curricula with tasks similar to those students would encounter outside of school to facilitate the transfer of learning. [1]
In contrast to Thorndike, Edwin Ray Guthrie's law of contiguity expected little transfer of learning. Guthrie recommended studying in the exact conditions in which one would be tested, because of his view that "we learn what we do in the presence of specific stimuli". [1] The expectation is that training in conditions as similar as possible to those in which learners will have to perform will facilitate transfer. [3]
The argument is also made that transfer is not distinct from learning, as people do not encounter situations as blank slates. [4] Perkins and Salomon considered it more a continuum, with no bright line between learning and transfer. [5]
Transfer may also be referred to as generalization, B. F. Skinner's concept of a response to a stimulus occurring to other stimuli. [3]
Today, transfer of learning is usually described as the process and the effective extent to which past experiences (also referred to as the transfer source) affect learning and performance in a new situation (the transfer target). [6] However, there remains controversy as to how transfer of learning should be conceptualized and explained, what its prevalence is, what its relation is to learning in general, and whether it exists at all. [4]
People store propositions, or basic units of knowledge, in long-term memory. When new information enters the working memory, long-term memory is searched for associations which combine with the new information in working memory. The associations reinforce the new information and help assign meaning to it. [7] Learning that takes place in varying contexts can create more links and encourage generalization of the skill or knowledge. [3] Connections between past learning and new learning can provide a context or framework for the new information, helping students to determine sense and meaning, and encouraging retention of the new information. These connections can build up a framework of associative networks that students can call upon for future problem-solving. [7] Information stored in memory is "flexible, interpretive, generically altered, and its recall and transfer are largely context-dependent". [4]
When Thorndike refers to similarity of elements between learning and transfer, the elements can be conditions or procedures. Conditions can be environmental, physical, mental, or emotional, and the possible combinations of conditions are countless. Procedures include sequences of events or information. [1] Although the theory is that the similarity of elements facilitates transfer, there is a challenge in identifying which specific elements had an effect on the learner at the time of learning. [4]
Factors that can affect transfer include: [7]
Learners can increase transfer through effective practice and by mindfully abstracting knowledge. Abstraction is the process of examining our experiences for similarities. Methods for abstracting knowledge include seeking the underlying principles in what is learned, creating models, and identifying analogies and metaphors, all of which assist with creating associations and encouraging transfer. [5]
Transfer of learning can be cognitive, socio-emotional, or motor. [4] The following table presents different types of transfer. [3]
Type | Characteristics |
---|---|
Positive | Positive transfer occurs when prior learning assists new learning. |
Negative | Negative transfer occurs when prior learning hinders or interferes with new learning. |
Zero | Zero transfer occurs when prior learning has no influence on new learning. |
Near | Near transfer occurs when many elements overlap between the conditions in which the learner obtained the knowledge or skill and the new situation. |
Far | Far transfer occurs when the new situation is very different from that in which learning occurred. |
Literal | Literal transfer occurs when performing the skill exactly as learned but in a new situation. |
Figural | Figural transfer occurs when applying general knowledge to a new situation, often making use of analogies or metaphors. |
Low road | Low-road transfer occurs when well-established skills transfer spontaneously, even automatically. |
High road | High-road transfer occurs when the learner consciously and deliberately ("mindfully") evaluates the new situation and applies previous learning to it. |
Forward reaching | High-road transfer that is forward reaching occurs when learners think about possible other uses while learning. |
Backward reaching | High-road transfer that is backward reaching occurs when learners in a new situation think about previous situations that might apply. |
Transfer is less a deliberate activity by the learner than it is a result of the environment at the time of learning. Teachers, being part of the learning environment, can be an instrument of transfer (both positive and negative). [7] Recommendations for teaching for transfer include the hugging and bridging strategies; providing authentic environment and activities within a conceptual framework; encouraging problem-based learning; community of practice; cognitive apprenticeship; and game-based learning. [5]
Hugging and bridging as techniques for positive transfer were suggested by the research of Perkins and Salomon. [7]
Hugging is when the teacher encourages transfer by incorporating similarities between the learning situation and the future situations in which the learning might be used. Some methods for hugging include simulation games, mental practice, and contingency learning. [7]
Bridging is when the teacher encourages transfer by helping students to find connections between learning and to abstract their existing knowledge to new concepts. Some methods for bridging include brainstorming, developing analogies, and metacognition. [7]
Educational psychology is the branch of psychology concerned with the scientific study of human learning. The study of learning processes, from both cognitive and behavioral perspectives, allows researchers to understand individual differences in intelligence, cognitive development, affect, motivation, self-regulation, and self-concept, as well as their role in learning. The field of educational psychology relies heavily on quantitative methods, including testing and measurement, to enhance educational activities related to instructional design, classroom management, and assessment, which serve to facilitate learning processes in various educational settings across the lifespan.
Learning theory describes how students receive, process, and retain knowledge during learning. Cognitive, emotional, and environmental influences, as well as prior experience, all play a part in how understanding, or a world view, is acquired or changed and knowledge and skills retained.
Categorization is the ability and activity of recognizing shared features or similarities between the elements of the experience of the world, organizing and classifying experience by associating them to a more abstract group, on the basis of their traits, features, similarities or other criteria that are universal to the group. Categorization is considered one of the most fundamental cognitive abilities, and as such it is studied particularly by psychology and cognitive linguistics.
Edward Lee Thorndike was an American psychologist who spent nearly his entire career at Teachers College, Columbia University. His work on comparative psychology and the learning process led to the theory of connectionism and helped lay the scientific foundation for educational psychology. He also worked on solving industrial problems, such as employee exams and testing. He was a member of the board of the Psychological Corporation and served as president of the American Psychological Association in 1912. A Review of General Psychology survey, published in 2002, ranked Thorndike as the ninth-most cited psychologist of the 20th century. Edward Thorndike had a powerful impact on reinforcement theory and behavior analysis, providing the basic framework for empirical laws in behavior psychology with his law of effect. Through his contributions to the behavioral psychology field came his major impacts on education, where the law of effect has great influence in the classroom.
Robert Mills Gagné was an American educational psychologist best known for his Conditions of Learning. He pioneered the science of instruction during World War II when he worked with the Army Air Corps training pilots. He went on to develop a series of studies and works that simplified and explained what he and others believed to be "good instruction." Gagné was also involved in applying concepts of instructional theory to the design of computer-based training and multimedia-based learning. His work is sometimes summarized as the Gagné assumption: that different types of learning exist, and that different instructional conditions are most likely to bring about these different types of learning.
Analogy is a cognitive process of transferring information or meaning from a particular subject to another, or a linguistic expression corresponding to such a process. In a narrower sense, analogy is an inference or an argument from one particular to another particular, as opposed to deduction, induction, and abduction, in which at least one of the premises, or the conclusion, is general rather than particular in nature. The term analogy can also refer to the relation between the source and the target themselves, which is often a similarity, as in the biological notion of analogy.
Learning is the process of acquiring new understanding, knowledge, behaviors, skills, values, attitudes, and preferences. The ability to learn is possessed by humans, animals, and some machines; there is also evidence for some kind of learning in certain plants. Some learning is immediate, induced by a single event, but much skill and knowledge accumulate from repeated experiences. The changes induced by learning often last a lifetime, and it is hard to distinguish learned material that seems to be "lost" from that which cannot be retrieved.
In psychology, cognitivism is a theoretical framework for understanding the mind that gained credence in the 1950s. The movement was a response to behaviorism, which cognitivists said neglected to explain cognition. Cognitive psychology derived its name from the Latin cognoscere, referring to knowing and information, thus cognitive psychology is an information-processing psychology derived in part from earlier traditions of the investigation of thought and problem solving.
Situated cognition is a theory that posits that knowing is inseparable from doing by arguing that all knowledge is situated in activity bound to social, cultural and physical contexts.
Second-language acquisition (SLA), sometimes called second-language learning — otherwise referred to as L2acquisition, is the process by which people learn a second language. Second-language acquisition is also the scientific discipline devoted to studying that process. The field of second-language acquisition is regarded by some but not everybody as a sub-discipline of applied linguistics but also receives research attention from a variety of other disciplines, such as psychology and education.
Metacognition is an awareness of one's thought processes and an understanding of the patterns behind them. The term comes from the root word meta, meaning "beyond", or "on top of". Metacognition can take many forms, such as reflecting on one's ways of thinking and knowing when and how to use particular strategies for problem-solving. There are generally two components of metacognition: (1) knowledge about cognition and (2) regulation of cognition.
In cognitive psychology, cognitive load refers to the amount of working memory resources used. There are three types of cognitive load: intrinsic cognitive load is the effort associated with a specific topic; extraneous cognitive load refers to the way information or tasks are presented to a learner; and germane cognitive load refers to the work put into creating a permanent store of knowledge.
Information processing theory is the approach to the study of cognitive development evolved out of the American experimental tradition in psychology. Developmental psychologists who adopt the information processing perspective account for mental development in terms of maturational changes in basic components of a child's mind. The theory is based on the idea that humans process the information they receive, rather than merely responding to stimuli. This perspective uses an analogy to consider how the mind works like a computer. In this way, the mind functions like a biological computer responsible for analyzing information from the environment. According to the standard information-processing model for mental development, the mind's machinery includes attention mechanisms for bringing information in, working memory for actively manipulating information, and long-term memory for passively holding information so that it can be used in the future. This theory addresses how as children grow, their brains likewise mature, leading to advances in their ability to process and respond to the information they received through their senses. The theory emphasizes a continuous pattern of development, in contrast with cognitive-developmental theorists such as Jean Piaget's theory of cognitive development that thought development occurs in stages at a time.
Concept learning, also known as category learning, concept attainment, and concept formation, is defined by Bruner, Goodnow, & Austin (1967) as "the search for and listing of attributes that can be used to distinguish exemplars from non exemplars of various categories". More simply put, concepts are the mental categories that help us classify objects, events, or ideas, building on the understanding that each object, event, or idea has a set of common relevant features. Thus, concept learning is a strategy which requires a learner to compare and contrast groups or categories that contain concept-relevant features with groups or categories that do not contain concept-relevant features.
E-learning theory describes the cognitive science principles of effective multimedia learning using electronic educational technology.
In behavioral psychology, negative transfer is the interference of the previous knowledge with new learning, where one set of events could hurt performance on related tasks. It is also a pattern of error in animal learning and behavior. It occurs when a learned, previously adaptive response to one stimulus interferes with the acquisition of an adaptive response to a novel stimulus that is similar to the first.
In psychology, context-dependent memory is the improved recall of specific episodes or information when the context present at encoding and retrieval are the same. In a simpler manner, "when events are represented in memory, contextual information is stored along with memory targets; the context can therefore cue memories containing that contextual information". One particularly common example of context-dependence at work occurs when an individual has lost an item in an unknown location. Typically, people try to systematically "retrace their steps" to determine all of the possible places where the item might be located. Based on the role that context plays in determining recall, it is not at all surprising that individuals often quite easily discover the lost item upon returning to the correct context. This concept is heavily related to the encoding specificity principle.
The concept or theory of meaningful learning is that learned information is completely understood and can now be used to make connections with other previously known knowledge, aiding in further understanding. Since information is stored in a network of connections, it can be accessed from multiple starting points depending on the context of recall. Meaningful learning is often contrasted with rote learning, a method in which information is memorized sometimes without elements of understanding or relation to other objects or situations. A real-world example of a concept the learner has learned is an instance of meaningful learning. Utilization of meaningful learning may trigger further learning, as the relation of a concept to a real-world situation may be encouraging to the learner. It may encourage the learner to understand the information presented and will assist with active learning techniques to aid their understanding. Although it takes longer than rote memorization, information is typically retained for a longer period of time.
Generalization is the concept that humans and other animals use past learning in present situations of learning if the conditions in the situations are regarded as similar. The learner uses generalized patterns, principles, and other similarities between past experiences and novel experiences to more efficiently navigate the world. For example, if a person has learned in the past that every time they eat an apple, their throat becomes itchy and swollen, they might assume they are allergic to all fruit. When this person is offered a banana to eat, they reject it upon assuming they are also allergic to it through generalizing that all fruits cause the same reaction. Although this generalization about being allergic to all fruit based on experiences with one fruit could be correct in some cases, it may not be correct in all. Both positive and negative effects have been shown in education through learned generalization and its contrasting notion of discrimination learning.
Seductive details are often used in textbooks, lectures, slideshows, and other forms of educational content to make a course more interesting or interactive. Seductive details can take the form of text, animations, photos, illustrations, sounds or music and are by definition: (1) interesting and (2) not directed toward the learning objectives of a lesson. John Dewey, in 1913, first referred to this as "fictitious inducements to attention." While illustrated text can enhance comprehension, illustrations that are not relevant can lead to poor learning outcomes. Since the late 1980s, many studies in the field of educational psychology have shown that the addition of seductive details results in poorer retention of information and transfer of learning. Thalheimer conducted a meta-analysis that found, overall, a negative impact for the inclusion of seductive details such as text, photos or illustrations, and sounds or music in learning content. More recently, a 2020 paper found a similar effect for decorative animations This reduction to learning is called the seductive details effect. There have been criticisms of this theory. Critics cite unconvincing and contradictory evidence to argue that seductive details do not always impede understanding and that seductive details can sometimes be motivating for learners.