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Learning is the act of acquiring new, or modifying and reinforcing, existing knowledge, behaviors, skills, values, or preferences and may involve synthesizing different types of information. The ability to learn is possessed by humans, animals and some machines. Progress over time tends to follow learning curves. Learning is not compulsory; it is contextual. It does not happen all at once, but builds upon and is shaped by what we already know. To that end, learning may be viewed as a process, rather than a collection of factual and procedural knowledge. Learning produces changes in the organism and the changes produced are relatively permanent.
Human learning may occur as part of education, personal development, schooling, or training. It may be goal-oriented and may be aided by motivation. The study of how learning occurs is part of neuropsychology, educational psychology, learning theory, and pedagogy. Learning may occur as a result of habituation or classical conditioning, seen in many animal species, or as a result of more complex activities such as play, seen only in relatively intelligent animals. Learning may occur consciously or without conscious awareness. Learning that an aversive event can't be avoided nor escaped is called learned helplessness. There is evidence for human behavioral learning prenatally, in which habituation has been observed as early as 32 weeks into gestation, indicating that the central nervous system is sufficiently developed and primed for learning and memory to occur very early on in development.
Play has been approached by several theorists as the first form of learning. Children experiment with the world, learn the rules, and learn to interact through play. Lev Vygotsky agrees that play is pivotal for children's development, since they make meaning of their environment through play. 85 percent of brain development occurs during the first five years of a child's life. The context of conversation based on moral reasoning offers some proper observations on the responsibilities of parents.
Non-associative learning refers to "a relatively permanent change in the strength of response to a single stimulus due to repeated exposure to that stimulus. Changes due to such factors as sensory adaptation, fatigue, or injury do not qualify as non-associative learning."
In psychology, habituation is an example of non-associative learning in which there is a progressive diminution of behavioral response probability with repetition stimulus. An animal first responds to a stimulus, but if it is neither rewarding nor harmful the animal reduces subsequent responses. One example of this can be seen in small song birds—if a stuffed owl (or similar predator) is put into the cage, the birds initially react to it as though it were a real predator. Soon the birds react less, showing habituation. If another stuffed owl is introduced (or the same one removed and re-introduced), the birds react to it again as though it were a predator, demonstrating that it is only a very specific stimulus that is habituated to (namely, one particular unmoving owl in one place). Habituation has been shown in essentially every species of animal, as well as the large protozoan Stentor coeruleus.
Sensitisation is an example of non-associative learning in which the progressive amplification of a response follows repeated administrations of a stimulus (Bell et al., 1995). An everyday example of this mechanism is the repeated tonic stimulation of peripheral nerves that will occur if a person rubs his arm continuously. After a while, this stimulation will create a warm sensation that will eventually turn painful. The pain is the result of the progressively amplified synaptic response of the peripheral nerves warning the person that the stimulation is harmful.[clarification needed] Sensitisation is thought to underlie both adaptive as well as maladaptive learning processes in the organism.
Associative learning is the process by which an association between two stimuli or a behavior and a stimulus is learned. The two forms of associative learning are classical and operant conditioning. In the former a previously neutral stimulus is repeatedly presented together with a reflex eliciting stimuli until eventually the neutral stimulus will elicit a response on its own. In operant conditioning a certain behavior is either reinforced or punished which results in an altered probability that the behavior will happen again. Honeybees display associative learning through the proboscis extension reflex paradigm.
Operant conditioning is the use of consequences to modify the occurrence and form of behavior. Operant conditioning is distinguished from Pavlovian conditioning in that operant conditioning uses reinforcement/punishment to alter an action-outcome association. In contrast Pavlovian conditioning involves strengthening of the stimulus-outcome association.
Elemental theories of associative learning argue that concurrent stimuli tend to be perceived as separate units rather than 'holistically' (i.e. as a single unit)
Behaviorism is a psychological movement that seeks to alter behavior by arranging the environment to elicit successful changes and to arrange consequences to maintain or diminish a behavior. Behaviorists study behaviors that can be measured and changed by the environment. However, they do not deny that there are thought processes that interact with those behaviors (see Relational Frame Theory for more information).
Delayed discounting is the process of devaluing rewards based on the delay of time they are presented. This process is thought to be tied to impulsivity. Impulsivity is a core process for many behaviors (e.g., substance abuse, problematic gambling, OCD). Making decisions is an important part of everyday functioning. How we make those decisions is based on what we perceive to be the most valuable or worthwhile actions. This is determined by what we find to be the most reinforcing stimuli. So when teaching an individual a response, you need to find the most potent reinforcer for that person. This may be a larger reinforcer at a later time or a smaller immediate reinforcer.
The typical paradigm for classical conditioning involves repeatedly pairing an unconditioned stimulus (which unfailingly evokes a reflexive response) with another previously neutral stimulus (which does not normally evoke the response). Following conditioning, the response occurs both to the unconditioned stimulus and to the other, unrelated stimulus (now referred to as the "conditioned stimulus"). The response to the conditioned stimulus is termed a conditioned response. The classic example is Pavlov and his dogs. Meat powder naturally will make a dog salivate when it is put into a dog's mouth; salivating is a reflexive response to the meat powder. Meat powder is the unconditioned stimulus (US) and the salivation is the unconditioned response (UR). Then Pavlov rang a bell before presenting the meat powder. The first time Pavlov rang the bell, the neutral stimulus, the dogs did not salivate, but once he put the meat powder in their mouths they began to salivate. After numerous pairings of the bell and the food the dogs learned that the bell was a signal that the food was about to come and began to salivate when the bell was rung. Once this occurred, the bell became the conditioned stimulus (CS) and the salivation to the bell became the conditioned response (CR).
Another influential person in the world of Classical Conditioning is John B. Watson. Watson's work was very influential and paved the way for B.F. Skinner's radical behaviorism. Watson's behaviorism (and philosophy of science) stood in direct contrast to Freud. Watson's view was that Freud's introspective method was too subjective, and that we should limit the study of human development to directly observable behaviors. In 1913, Watson published the article "Psychology as the Behaviorist Views," in which he argued that laboratory studies should serve psychology best as a science. Watson's most famous, and controversial, experiment, "Little Albert", where he demonstrated how psychologists can account for the learning of emotion through classical conditioning principles.
Imprinting is the term used in psychology and ethology to describe any kind of phase-sensitive learning (learning occurring at a particular age or a particular life stage) that is rapid and apparently independent of the consequences of behavior. It was first used to describe situations in which an animal or person learns the characteristics of some stimulus, which is therefore said to be "imprinted" onto the subject.
The learning process most characteristic of humans is imitation; one's personal repetition of an observed behavior, such as a dance. Recent research with children has shown that observational learning is well suited to seeding behaviors that can spread widely across a culture through a process called a diffusion hain, where individuals initially learn a behavior by observing another individual perform that behavior, and then serve as a model from which other individuals learn the behavior. Humans can copy three types of information simultaneously: the demonstrator's goals, actions, and environmental outcomes (results, see Emulation (observational learning)). Through copying these types of information, (most) infants will tune into their surrounding culture. Humans aren't the only creatures capable of learning through observing. A wide variety of species learn by observing. In one study, for example, pigeons watched other pigeons set reinforced for either pecking at the feeder or stepping on a bar. When placed in the box later, the pigeons tended to use whatever technique they had observed other pigeons using earlier.(Zentall, Sutton & Sherburne, 1996)[full citation needed]
Observational learning involves a neural component as well. Mirror neurons, then, may play a critical role in the imitation of behavior as well as the prediction of future behavior. (Rizzolatti,2004)[full citation needed] Mirror neurons are thought to be represented in specific subregions in the frontal and partietal lobes, and there is evidence that individual subregions respond most strongly to observing certain kinds of actions.
Play generally describes behavior which has no particular end in itself, but improves performance in similar situations in the future. This is seen in a wide variety of vertebrates besides humans, but is mostly limited to mammals and birds. Cats are known to play with a ball of string when young, which gives them experience with catching prey. Besides inanimate objects, animals may play with other members of their own species or other animals, such as orcas playing with seals they have caught. Play involves a significant cost to animals, such as increased vulnerability to predators and the risk of injury and possibly infection. It also consumes energy, so there must be significant benefits associated with play for it to have evolved. Play is generally seen in younger animals, suggesting a link with learning. However, it may also have other benefits not associated directly with learning, for example improving physical fitness.
Play, as it pertains to humans as a form of learning is central to a child’s learning and development. Through play, children learn social skills such as sharing and collaboration. Children develop emotional skills such as learning to deal with the emotion of anger, through play activities. As a form of learning, play also facilitates the development of thinking and language skills in children.
There are five types of play: 1) sensorimotor play aka functional play, characterized by repetition of activity. 2) role play occurs from 3 to 15 years of age. 3) rule-based play where authoritative prescribed codes of conduct are primary. 4) construction play involves experimentation and building. 5) movement play aka physical play.
These 5 types of play are often intersected. All types of play generate thinking and problem-solving skills in children. Children learn to think creatively when they learn through play. Specific activities involved in each type of play change over time as humans progress through the lifespan. Play as a form of learning, can occur solitarily, or involve interacting with others.
Enculturation is the process by which a person learns the requirements of their native culture by which he or she is surrounded, and acquires values and behaviors that are appropriate or necessary in that culture. The influences which, as part of this process limit, direct or shape the individual, whether deliberately or not, include parents, other adults, and peers. If successful, enculturation results in competence in the language, values and rituals of the culture. (compare acculturation, where a person is within a culture different to their normal culture, and learns the requirements of this different culture).
Episodic learning is a change in behavior that occurs as a result of an event. For example, a fear of dogs that follows being bitten by a dog is episodic learning. Episodic learning is so named because events are recorded into episodic memory, which is one of the three forms of explicit learning and retrieval, along with perceptual memory and semantic memory.
Electronic learning or e-learning is a general term used to refer to computer-enhanced learning. A specific and always more diffused e-learning is mobile learning (m-learning), which uses different mobile telecommunication equipment, such as cellular phones.
When a learner interacts with the e-learning environment, it's called augmented learning. By adapting to the needs of individuals, the context-driven instruction can be dynamically tailored to the learner's natural environment. Augmented digital content may include text, images, video, audio (music and voice). By personalizing instruction, augmented learning has been shown to improve learning performance for a lifetime. See also Minimally Invasive Education.
Moore (1989)purported that three core types of interaction are necessary for quality, effective online learning:
In his theory of transactional distance, Moore (1993) contented that structure and interaction or dialogue bridge the gap in understanding and communication that is created by geographical distances (known as transactional distance).
Rote learning is memorizing information so that it can be recalled by the learner exactly the way it was read or heard. The major technique used for rote learning is learning by repetition, based on the idea that a learner can recall the material exactly (but not its meaning) if the information is repeatedly processed. Rote learning is used in diverse areas, from mathematics to music to religion. Although it has been criticized by some educators, rote learning is a necessary precursor to meaningful learning.
Meaningful learning is the concept that learned knowledge (e.g., a fact) is fully understood to the extent that it relates to other knowledge. To this end, meaningful contrasts with rote learning in which information is acquired without regard to understanding. Meaningful learning, on the other hand, implies there is a comprehensive knowledge of the context of the facts learned.
Informal learning occurs through the experience of day-to-day situations (for example, one would learn to look ahead while walking because of the danger inherent in not paying attention to where one is going). It is learning from life, during a meal at table with parents, play, exploring, etc.
Formal learning is learning that takes place within a teacher-student relationship, such as in a school system. The term formal learning has nothing to do with the formality of the learning, but rather the way it is directed and organized. In formal learning, the learning or training departments set out the goals and objectives of the learning.
Nonformal learning is organized learning outside the formal learning system. For example: learning by coming together with people with similar interests and exchanging viewpoints, in clubs or in (international) youth organizations, workshops.
The educational system may use a combination of formal, informal, and nonformal learning methods. The UN and EU recognize these different forms of learning (cf. links below). In some schools students can get points that count in the formal-learning systems if they get work done in informal-learning circuits. They may be given time to assist international youth workshops and training courses, on the condition they prepare, contribute, share and can prove this offered valuable new insight, helped to acquire new skills, a place to get experience in organizing, teaching, etc.
In order to learn a skill, such as solving a Rubik's Cube quickly, several factors come into play at once:
Tangential learning is the process by which people will self-educate if a topic is exposed to them in a context that they already enjoy. For example, after playing a music-based video game, some people may be motivated to learn how to play a real instrument, or after watching a TV show that references Faust and Lovecraft, some people may be inspired to read the original work. Self-education can be improved with systematization. According to experts in natural learning, self-oriented learning training has proven to be an effective tool for assisting independent learners with the natural phases of learning.
Dialogic learning is a type of learning based on dialogue.
Benjamin Bloom has suggested three domains of learning:
These domains are not mutually exclusive. For example, in learning to play chess, the person will have to learn the rules of the game (cognitive domain); but he also has to learn how to set up the chess pieces on the chessboard and also how to properly hold and move a chess piece (psychomotor). Furthermore, later in the game the person may even learn to love the game itself, value its applications in life, and appreciate its history (affective domain).
Transfer of learning is the application of skill, knowledge or understanding to resolve a novel problem or situation. which happens when certain conditions are fulfilled. Research indicates that learning transfer is infrequent; most common when "... cued, primed, and guided..." and has sought to clarify what it is, and how it might be promoted through instruction.
Over the history of its discourse, various hypotheses and definitions have been advanced. First, it is speculated that different types of transfer exist, including near transfer, or the application of skill to solve a novel problem in a similar context, and far transfer, or the application of skill to solve novel problem presented in a different context. Furthermore, Perkins and Salomon (1992) suggest that positive transfer in cases when learning supports novel problem solving, and negative transfer occurs when prior learning inhibits performance on highly correlated tasks, such as second or third-language learning. Concepts of positive and negative transfer have a long history; researchers in the early 20th century described the possibility that "...habits or mental acts developed by a particular kind of training may inhibit rather than facilitate other mental activities". Finally, Schwarz, Bransford and Sears (2005) have proposed that transferring knowledge into a situation may differ from transferring knowledge out to a situation as a means to reconcile findings that transfer may both be frequent and challenging to promote.
A significant and long research history has also attempted to explicate the conditions under which transfer of learning might occur. Early research by Ruger, for example, found that the "level of attention", "attitudes", "method of attack" (or method for tackling a problem), a "search for new points of view", "a careful testing of hypothesis" and "generalization" were all valuable approaches for promoting transfer. To encourage transfer through teaching, Perkins and Salomon recommend aligning ("hugging") instruction with practice and assessment, and "bridging", or encouraging learners to reflect on past experiences or make connections between prior knowledge and current content.
Active learning occurs when a person takes control of their learning experience. Since understanding information is the key aspect of learning, it is important for learners to recognize what they understand and what they do not. By doing so, they can monitor their own mastery of subjects. Active learning encourages learners to have an internal dialogue in which they are verbalizing their understandings. This and other meta-cognitive strategies can be taught to a child over time. Studies within metacognition have proven the value in active learning, claiming that the learning is usually at a stronger level as a result. In addition, learners have more incentive to learn when they have control over not only how they learn but also what they learn.
There are two ways in which animals can gain knowledge. The first of these two ways is learning. This is when an animal gathers information about its surrounding environment and then proceeds to use this information. For example, if an animal eats something that hurts its stomach, it may learn not to eat this again. The second way that an animal can acquire knowledge is through innate knowledge. This knowledge is genetically inherited. The animal automatically knows it without any prior experience. An example of this is when a horse is born and can immediately walk. The horse has not learned this behavior; it simply knows how to do it. In some scenarios, innate knowledge is more beneficial than learned knowledge. However, in other scenarios the opposite is true - animals must learn certain behaviors when it is disadvantageous to have a specific innate behavior. In these situations, learning evolves in the species.
In a changing environment, an animal must constantly be gaining new information in order to survive. However, in a stable environment this same individual need only to gather the information it needs once and rely on it for the duration of its life. Therefore, there are different scenarios in which learning or innate knowledge is better suited. Essentially, the cost of obtaining certain knowledge versus the benefit of already having it determined whether an animal evolved to learn in a given situation or whether it innately knew the information. If the cost of gaining the knowledge outweighed the benefit of having it, then the individual would not have evolved to learn in this scenario; instead, non-learning would evolve. However, if the benefit of having certain information outweighed the cost of obtaining it, then the animal would be far more likely to evolve to have to learn this information.
Non-learning is more likely to evolve in two scenarios. If an environment is static and change does not or rarely occurs then learning would simply be unnecessary. Because there is no need for learning in this scenario – and because learning could prove to be disadvantageous due to the time it took to learn the information – non-learning evolves. However, if an environment were in a constant state of change then learning would also prove to be disadvantageous. Anything learned would immediately become irrelevant because of the changing environment. The learned information would no longer apply. Essentially, the animal would be just as successful if it took a guess as if it learned. In this situation, non-learning would evolve. In fact, it was shown in a study of Drosophila melanogaster that learning can actually lead to a decrease in productivity, possibly because egg-laying behaviors and decisions were impaired by interference from the memories gained from the new learned materials or because of the cost of energy in learning.
However, in environments where change occurs within an animal's lifetime but is not constant, learning is more likely to evolve. Learning is beneficial in these scenarios because an animal can adapt to the new situation, but can still apply the knowledge that it learns for a somewhat extended period of time. Therefore, learning increases the chances of success as opposed to guessing. An example of this is seen in aquatic environments with landscapes subject to change. In these environments learning is favored because the fish are predisposed to learn the specific spatial cues where they live.
Machine learning, a branch of artificial intelligence, concerns the construction and study of systems that can learn from data. For example, a machine learning system could be trained on email messages to learn to distinguish between spam and non-spam messages.
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