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Language Learning and Teaching (стр. 15 из 46)

Drawing on Pavlov's findings, John B.Watson (.1913) coined the ten behaviorism. In the empirical tradition of John Locke, Watson contended that human behavior should be studied objectively, rejecting mentalisticnotions of innateness and instinct. He adopted classical conditioning theory as the explanation for all learning: by the process of conditioning, we build an array of stimulus – response connections, and more complex behaviors are learned by building up series or chains of responses. Pavlov’s and Watson’s emphasis on the study of overt behavior and rigorous adherence to the scientific method had a tremendous influence on learning theories for decades. Language teaching practices likewise for many years were influenced by a behavioristic tradition.

SKINNER’S OPERANT CONDITIONING

In 1938 B.E.Skinner published his Behavior of Organism and in so doing established himself as one of the leading behaviorists in the United States. He followed the tradition of Watson, but other psychologists (see Anderson and Ausbel 1965: 5) have called a neobehaviorist because he added a unique dimension to behavioristic psychology. The classical con­ditioning of Pavlov was, according to Skinner, a highly specialized form of learning utilized mainly by animals and playing little part in human condi­tioning. Skinner called Pavlovian conditioning respondent conditioning since it was concerned with respondent behavior—that is, behavior that is elicited by a preceding stimulus.

Skinner's operant conditioning attempted to account for most of human learning and behavior. Operant behavior is behavior in which one "operates" on the environment; within this model the importance of stimuli is de-emphasized. For example, we cannot identify a specific stimulus leading a baby to rise to a standing position or to take a first step; we there­fore need not be concerned about that stimulus, but we should be con­cerned about the consequences—the stimuli that follow the response. Stressing Thorndike's Law of Effect, Skinner demonstrated the importance of those events that follow a response. Suppose that another baby acci­dentally touches a nearby object and a tinkling bell-sound occurs. The infant may look in the direction from which the sound came, become curious about it, and after several such "accidental" responses discover exactly which toy it is that makes the sound and how to produce that sound. The baby operated on her environment. Her responses were rein­forced until finally a particular concept or behavior was learned.

According to Skinner, the events or stimuli—the reinforcers—that follow a response and that tend to strengthen behavior or increase the probability of a recurrence of that response constitute a powerful force in the control of human behavior. Reinforcers are far stronger aspects of learning than is mere association of a prior stimulus with a following response, as in the classical conditioning model. We are governed by the consequences of our behavior, and therefore Skinner felt we ought, in studying human behavior, to study the effect of those consequences. And if we wish to control behavior, say, to teach someone something, we ought to attend carefully to reinforcers.

Operants are classes of responses. Crying, sitting down, walking, and batting a baseball are operants. They are sets of responses that are emitted and governed by the consequences they produce. In contrast, respon­dents are sets of responses that are elicited by identifiable stimuli. Certain physical reflex actions are respondents. Crying can be respondent or operant behavior. Sometimes crying is elicited in direct reaction to a hurt. Often, however, it is an emitted response that produces the consequences of getting fed, cuddled, played with, comforted, and so forth. Such operant crying can be controlled. If parents wait until a child's crying reaches a cer­tain intensity before responding, loud crying is more likely to appear in the future. If parents ignore crying (when they are certain that it is operant crying), eventually the absence of reinforcers will extinguish the behavior. Operant crying depends on its effect on the parents and is maintained or changed according to their response to it.

Skinner believed that, in keeping with the above principle, punish­ment "works to the disadvantage of both the punished organism and the punishing agency" (1953:183). Punishment can be either the withdrawal of a positive reinforcer or the presentation of an aversive stimulus. More com­monly we think of punishment as the latter—a spanking, a harsh repri­mand—but the removal of certain positive reinforcers, such as a privilege, can also be considered a form of punishment. Skinner felt that in the long run, punishment does not actually eliminate behavior, but that mild punish­ment may be necessary for temporary suppression of an undesired response, although no punishment of such a kind should be meted out without positively reinforcing alternate responses.

The best method of extinction, said Skinner, is the absence of any rein­forcement; however, the active reinforcement of alternative responses has­tens that extinction. So if a parent wishes the children would not kick a football in the living room, Skinner would maintain that instead of pun­ishing them adversely for such behavior when it occurs, the parent should refrain from any negative reaction and should instead provide positive rein­forcement for kicking footballs outside; in this way the undesired behavior will be effectively extinguished. Such a procedure is, of course, easier said than done, especially if the children break your best table lamp in the absence of any punishment!

Skinner was extremely methodical and empirical in his theory learning, to the point of being preoccupied with scientific controls. While many of his experiments were performed on lower animals, his theories had an impact on our understanding of human learning and on education His book The Technology of Teaching (1968) was a classic in the field of programmed instruction. Following Skinner's model, one is led to believe that virtually any subject matter can be taught effectively and successfully by a carefully designed program of step-by-step reinforcement, Programmed instruction had its impact on foreign language teaching, though language is such complex behavior, penetrating so deeply into both cognitive and affective domains, that programmed instruction in languages was limited to very specialized subsets of language.

The impact of Skinnerian psychology on foreign language teaching extended well beyond programmed instruction. Skinner's Verbal Behavli (1957) described language as a system of verbal operants, and his under standing of the role of conditioning led to a whole new era in language teaching around the middle of the twentieth century. A Skinnerian view i both language and language learning dominated foreign language teaching methodology for several decades, leading to a heavy reliance in the class­room on the controlled practice of verbal operants under careful) designed schedules of reinforcement. The popular Audiolingual Method, discussed in the end-of-chapter vignette in Chapter 3, was a prime example of Skinner's impact on American language teaching practices in the decades of the 1950s, 1960s, and early 1970s.

There is no doubt that behavioristic learning theories have had a lasting impact on our understanding of the process of human learning. There is much in the theory that is true and valuable. There is another side to the coin, however. We have looked at the side that claims that human behavior can be predicted and controlled and scientifically studied and val­idated. We have not looked at the side that views human behavior as essen­tially abstract in nature, as being composed of such a complex of variables that behavior, except in its extreme abnormality, simply cannot be pre­dicted or easily controlled. We turn next to two representatives of this side of the coin—David Ausubel's meaningful learning theory and Carl Rogers's humanistic psychology.

AUSUBEL'S MEANINGFUL LEARNING THEORY

David Ausubel contended that learning takes place in the human organism through a meaningful process of relating new events or items to already existing cognitive concepts or propositions—hanging new items on existing cognitive pegs. Meaning is not an implicit response, but a "clearly articulated and precisely differentiated conscious experience that emerges when potentially meaningful signs, symbols, concepts, or propositions are related to and incorporated within a given individual's cognitive structure on a nonarbitrary and substantive basis" (Anderson & Ausubel 1965:8). It is this relatability that, according to Ausubel, accounts for a number of phe­nomena: the acquisition of new meanings (knowledge), retention, the psy­chological organization of knowledge as a hierarchical structure, and the eventual occurrence of forgetting.

The cognitive theory of learning as put forth by Ausubel is perhaps best understood by contrasting rote learning and meaningful learning. In the perspective of rote learning, the concept of meaningful learning takes on new significance. Ausubel described rote learning as the process of acquiring material as "discrete and relatively isolated entities that are relat-able to cognitive structure only in an arbitrary and verbatim fashion, not permitting the establishment of [meaningful] relationships" (1968: 108). That is, rote learning involves the mental storage of items having little or no association with existing cognitive structure. Most of us, for example, can learn a few necessary phone numbers and ZIP codes by rote without ref­erence to cognitive hierarchical organization.

Meaningful learning, on the other hand, may be described as a process of relating and anchoring new material to relevant established entities in cognitive structure. As new material enters the cognitive field, it interacts with, and is appropriately subsumed under, a more inclusive conceptual system. The very fact that material is subsumable, that is, relatable to stable elements in cognitive structure, accounts for its meaningfulness. If we think of cognitive structure as a system of building blocks, then rote learning is the process of acquiring isolated blocks with no particular function in the building of a structure and no relationship to other blocks. Meaningful learning is the process whereby blocks become an integral part of already established categories or systematic clusters of blocks. For the sake of a visual picture of the distinction, consider the graphic representation in Figures 4.1 and 4.2.

Language Learning and Teaching

Any learning situation can be meaningful if (a) learners have a mean­ingful learning set—that is, a disposition to relate the new learning task to what they already know, and (b) the learning task itself is potentially mean­ingful to the learners—that is, relatable to the learners' structure of knowl­edge. The second method of establishing meaningfulness—one that Frank Smith (1975: 162) called "manufacturing meaningfulness"—is a potentially powerful factor in human learning. We can make things meaningful if nec­essary and if we are strongly motivated to do so. Students cramming for an examination often invent a mnemonic device for remembering a list of items; the meaningful retention of the device successfully retrieves the whole list of items.

Frank Smith (1975) also noted that similar strategies can be used in parlor games in which, for example, you are called upon to remember for a few moments several items presented to you. By associating items either in groups or with some external stimuli, retention is enhanced. Imagine "putting" each object in a different location on your person: a safety pin in your pocket, a toothpick in your mouth, a marble in your shoe. By later "taking a tour around your person," you can "feel" the objects there in your imagination. More than a century ago William James (1890:662) described meaningful learning:

In mental terms, the more other facts a fact is associated with in the mind, the better possession of it our memory retains. Each of its associates becomes a hook to which it hangs, a means to fish it up by when sunk beneath the surface. Together, they form a network of attachments by which it is woven into the entire issue of our thought. The "secret of good memory" is thus the secret of forming diverse and multiple associations with every fact we careto retainBriefly, then, of two men [sic] with the same outwardexperiences and the same amount of mere native tenacity, the one who thinks over his experiences most, and weaves them into systematic relation with each other, will be the one with the best memory.

The distinction between rote and meaningful learning may not at first appear to be important since in either case material can be learned. But the significance of the distinction becomes clear when we consider the rela­tive efficiency of the two kinds of learning in terms of retention, or long-term memory. We are often tempted to examine learning from the perspective of input alone, failing to consider the uselessness of a learned item that is not retained. Human beings are capable of learning almost any given item within the so-called "magic seven, plus or minus two" (Miller 1956) units for perhaps a few seconds, but long-term memory is a different matter. We can remember an unfamiliar phone number, for example, long enough to dial the number, after which point it is usually extinguished by interfering factors. But a meaningfully learned, subsumed item has far greater potential for retention. Try, for example, to recall all your previous phone numbers (assuming you have moved a number of times in your life). It is doubtful you will be very successful; a phone number is quite arbitrary, bearing little meaningful relationship to reality (other than perhaps area codes and other such numerical systematization). But previous street addresses, for example, are sometimes more efficiently retained since they bear some meaningful relationship to the reality of physical images, direc­tions, streets, houses, and the rest of the town, and are therefore more suit­able for long-term retention without concerted reinforcement.

Systematic Forgetting

Ausubel provided a plausible explanation for the universal nature of for­getting. Since rotely learned materials do not interact with cognitive struc­ture in a substantive fashion, they are learned in conformity with the laws of association, and their retention is influenced primarily by the interfering effects of similar rote materials learned immediately before or after the learning task (commonly referred to as proactive and retroactive inhi­bition). In the case of meaningfully learned material, retention is influ­enced primarily by the properties of "relevant and cumulatively established ideational systems in cognitive structure with which the learning task interacts" (Ausubel 1968: 108). Compared to this kind of extended interaction, concurrent interfering effects have relatively little influence on meaningful learning, and retention is highly efficient. Hence, addresses are retained as part of a meaningful set, while phone numbers, being self-contained, isolated entities, are easily forgotten.

We cannot say, of course, that meaningfully learned material is never forgotten. But in the case of such learning, forgetting takes place in a much more intentional and purposeful manner because it is a continuation of the very process of subsumption by which one learns; forgetting is really a second or "obliterative" stage of subsumption, characterized as "memorial reduction to the least common denominator" (Ausubel 1963:218). Because it is more economical and less burdensome to retain a single inclusive con­cept than to remember a large number of more specific items, the impor­tance of a specific item tends to be incorporated into the generalized meaning of the larger item. In this obliterative stage of subsumption, the specific items become progressively less identifiable as entities in their own right until they are finally no longer available and are said to be for­gotten (see Figure 4.2).

It is this second stage of subsumption that operates through what I have called "cognitive pruning" procedures (Brown 1972). Pruning is the elimination of unnecessary clutter and a clearing of the way for more mate­rial to enter the cognitive field, in the same way that pruning a tree ulti­mately allows greater and fuller growth. Using the building-block analogy, one might say that, at the outset, a structure made of blocks is seen as a few individual blocks, but as "nucleation" begins to give the structure a per­ceived shape, some of the single blocks achieve less and less identity in their own right and become subsumed into the larger structure. Finally, the single blocks are lost to perception, or pruned out, to use the metaphor, and the total structure is perceived as a single whole without clearly defined parts.