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Singleton, David and Lengyel, Zsolt (Eds.)- 1995. The Age Factor in Second Language Acquisition. Clevedon, U.K.: Multilingual Matters.
For some original research data, and for a good current set of examples of research on the age acquisition issue, consult Singleton and Lengyel's anthology. A warning: some of the articles may be difficult for beginning graduate students in the field.
Cook, Vivian. 1993- Linguistics and Second Language Acquisition. New York: St.Martins Press: 200-245.
This is a very reader-friendly survey of the field of second language acquisition. Especially useful are the chapters on morpheme acquisition, pidgins and Creoles, and Universal Grammar.
[Note: See pages 18 and 19 of Chapter 1 for general guidelines for writing a journal on a previous or concurrent language learning experience.]
CHAPTER 4
So far, in outlining a theory of second language acquisition, we have discovered that the cognitive domain of human behavior is of key importance in the acquisition of both a first and a second language. The processes of perceiving, attending, storing, and recalling are central to the task of internalizing a language. In this chapter we focus specifically on cognitive processes by examining the general nature of human learning. In the first part of the chapter, different learning theories are outlined. Then, we deal with some other universal learning principles. Finally, some current thoughts about aptitude and intelligence are presented.
How do human beings learn? Are there certain basic principles of learning that apply to all learning acts? Is one theory of learning "better" than another? If so, how can you evaluate the usefulness of a theory? These and other important questions need to be answered in order to achieve an integrated understanding of second language acquisition.
Before tackling theories of human learning directly, consider the following situation as an illustration of sorting out cognitive considerations in any task in which you are trying to determine what it means to conclude that an organism has learned something. Suppose you have decided to train your somewhat untalented pet dog to catch frisbees in midair at a distance of thirty or more yards. What would you need to know about your dog and how would you go about the training program?
First, you will need to specify entry behavior: what your dog already "knows." What abilities does it possess upon which you, the trainer, can build? What are its drives, needs, motivations, limitations? Next, you need to formulate explicitly the goals of the task. You have a general directive; what are your specific objectives? How successfully and with what sort of "style points" must this dog perform? In what differing environments? You would also need to devise some methods of training. Based on what you know about entry behavior and goals of the task, how would you go about the training process? Where would you begin? Would you start at three feet? Place the frisbee in the dog's mouth? Would you use rewards? Punishment? What alternatives would you have ready if the dog failed to learn? Finally, you would need some sort of evaluation procedure. How would you determine whether or not the dog had indeed learned what you set out to teach? You would need to determine short-term and long-term evaluation measures. If the dog performs correctly after one day of training, what will happen one month later? That is, will the dog maintain what it has learned?
Already a somewhat simple task has become quite complex with questions that require considerable forethought and expertise. But we are talking only about a dog performing a simple trick. If we talk about human beings learning a second language, the task is of course much, much more complex. Nevertheless, the questions and procedures that apply to you, the language teacher, are akin to those that applied to you, the dog trainer. You must have a comprehensive knowledge of the entry behavior of a person, of objectives you wish to reach, of possible methods that follow from your understanding of the first two factors, and of an evaluation procedure. These steps derive from your conception of how human beings learn, and that is what this chapter is all about.
In turning now to varied theories of how human beings learn, consider once again the definition of learning given in Chapter 1:" acquiring or getting of knowledge of a subject or a skill by study, experience, or instruction," or "a relatively permanent change in a behavioral tendency, . . . the result of reinforced practice." When we consider such definitions, it is clear that one can understand learning in many different ways, which is why there are so many different theories, extended definitions, and schools of thought on the topic of learning.
We now focus on how psychologists have defined learning, and we will look at these theories through the eyes of four psychologists, two representing a behavioristic viewpoint (Pavlov and Skinner), one representing a rational/cognitive stance (Ausubel), and one that stretches into what could be loosely defined as a constructivist school of thought (Rogers). The four positions should illustrate not only some of the history of learning theory, but also the diverse perspectives that form the foundations of varying language teaching approaches and methods.
Certainly the best-known classical behaviorist is the Russian psychologist Ivan Pavlov, who at the turn of the century conducted a series of experiments in which he trained a dog to salivate to the tone of a tuning fork through a procedure that has come to be labeled classical conditioning For Pavlov the learning process consisted of the formation of associations between stimuli and reflexive responses. All of us are aware that certain stimuli automatically produce or elicit rather specific responses or reflexes, and we have also observed that sometimes that reflex occurs in response to stimuli that appear to be indirectly related to the reflex. Pavlov used the salivation response to the sight or smell of food (an unconditioned response) in many of his pioneering experiments. In the classical experiment he trained a dog, by repeated occurrences, to associate the sound of a tuning fork with salivation until the dog acquired a conditioned response: salivation at the sound of the tuning fork. A previously neutral stimulus (the sound of the tuning fork) had acquired the power to elicit a response (salivation) that was originally elicited by another stimulus (the smell of meat).
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 mentalistic notions 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.
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.
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.
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 care to retain Briefly, then, of two men [sic] with
the same outward experiences 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.
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.