Learning outcomes and their effects: Useful categories of human performance.

The outcomes of learning are persistent states that make possible a variety of human performances. While learning results are specific to the task undertaken, learning investigators have sought to identify broader categories of learning outcomes in order to foresee to what extent their findings can be generalized. Five varieties of learning outcomes have been distinguished and appear to be widely accepted. The categories are (a) intellectual skills (procedural knowledge), (b) verbal information (declarative knowledge), (c) cognitive strategies (executive control processes), (d) motor skills, and (e) attitudes. Each of these categories may be seen to encompass a broad variety of human activities. It is held that results indicating the effects on learning of most principal independent variables can be generalized within these categories but not between them. This article identifies additional effects of each type of learning outcome and discusses the current state of knowledge about them. The question of understanding how human beings learn has been a central theme of psychological research since the time of the English associationist philosophers Hobbes, Locke, and Mill, and the experimental work of Ebbinghaus( 1913) in 1885. From that time until the present day, learning has been understood as a change of state of the human being that is remembered and that makes possible a corresponding change in the individual's behavior in a given type of situation. This change of state must, of course, be distinguished from others that may be effected by innate forces, by maturation, or by other physiological influences. Instead, learning is brought about by one or more experiences that are either the same as or that somehow represent the situation in which the newly acquired behavior is exhibited. Psychologists who have studied the phenomenon of learning have sometimes confined their observations to human Such learning was studied by the followers of the Ebbinghaus tradition and was usually referred to as verbal Verbal learning was studied by such investigators as Robinson (1932), McGeoch (1932), Melton (1963), Postman (1961), and Underwood (1957), among others. Many students of however, did not hesitate to study the behavior of animals as well as humans nor to relate the phenomena observed across the species gap. Pioneers in this tradition include Thorndike (1898), Guthrie (1935), Tolman (1932), and Hull (1943). Other differences in fundamental approaches to the study of human learning arose from points of view noted by Bower and Hilgard (1981) as empiricism versus rationalism, contiguity versus reinforcement, and gradual increments versus all-or-none spurts. These issues persist down to the present day and cannot be said to have been resolved in the sense of having attained a consensus of scientists. Perhaps, though, the most distinctive differences among studies of as reported to us by various investigators, are differences in the behavior-in-situation that identifies the new This is often referred to as the learning task, a phrase that implies that its specification includes both the external situation and the behavior that interacts with it. This tendency to identify learning with the situation is reflected in texts having learning as a subject, such as Hulse, Deese, and Egeth (1975), or Hill (1981). When Melton (1964) assembled chapters in Categories of Human Learning, they dealt with such familiar situations as the classically conditioned eye blink, operant conditioning of pigeons, rote learning of verbal associates, incidental learning of word pairs, and perceptual-motor skills Even when theories of learning are addressed directly, as by Bower and Hilgard (1981), we find the theoretical ideas tied to situations such as dogs salivating to the sight of food, pigeons pecking at circular spots, rats running to food boxes, or people learning paired associates. The advent of the cognitive of as represented in books done by Klatzky (1980), Bransford (1979), and Anderson (1980), among others, has broadened the situations employed for the study of Thus, we now have insightful studies of the learning of elementary arithmetic (Resnick it is indeed difficult to find contrary evidence. Yet the tendency of learning investigators to seek more detailed specifications for learning situations, from mazes to geometry, implies that reinforcement contingencies are not enough. Greater specificity continues to be sought in the description of the interaction between learner and environment—in the task, in other words. Students of learning phenomena continue to find dimensions of the learning situation that do not contradict the operation of reinforcement but that must be described in greater detail. This article was originally presented as a Distinguished Scientific Award for the Applications of Psychology address at the meeting of the American Psychological Association, Anaheim, California,