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Implicit Learning In Causality Classification

Posted on:2004-12-27Degree:MasterType:Thesis
Country:ChinaCandidate:J T SunFull Text:PDF
GTID:2155360092993602Subject:Basic Psychology
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Classification of causality is an important issue of attribution theory and a ligament for understanding the relation between attribution and motivation and the relation between emotion and behavior. Werner is the first pursuer who created the certain causality dimension which is the base of attribution theory. He developed Rotter's theory of locus of control and put forward the three-dimension pattern to compartmentalize causality into interior-exterior causality, stable-instable causality, controllable-incontrollable causality. Among this, he compartmentalize causality into interior causality and exterior causality according to the dimension of locus of control, compartmentalize into stable causality and instable causality according to the dimension of the stability of causality, and compartmentalize into controllable causality and incontrollable causality according to the dimension of the controllability of causality. This three-dimension pattern is identified with by most investigator, but there's also a few suspicion and dispute which mostly centralize on the independence and objectivity.Reber (1967) firstly advanced the conception of implicit learning. Implicit learning is an unconscious process in which abstract knowledge produces going with the explicit learning. The study of implicit learning mainly Adopt three procedures and each program is schemed out aiming at different style of implicit knowledge. Accordingly, Implicit learning experiments use three different stimulus structures (visual, sequence and function) and three different dependent measures, or response modalities (conceptual fluency, efficiency, and prediction and control).The first procedure is learning of artificial grammars put forward by Reber (1967) . Second is the procedure of learning of sequence. The third one is of control tasks. Reber point out that human being can learn complicated tasks in the light of two patterns, which has different essence. One is implicit learning, and the other is explicit learning. Implicit learning and explicit learning are not entirely opposite, but supplement each other. It is difficult to find a learning activity comprises only implicit learning or explicit learning because commonly they exist simultaneously.The research on implicit learning has opened out the character and mental mechanism of the process of unconscious learning. It not only enriched the content of cognitive psychology, but also to a certain extent changed the study direction of cognitive psychology. The foregone research shows that implicit learning widely occurs inhuman being's learning activity. In learning of artificial grammars or learning of sequence or social control tasks etc, there exists implicit learning.With regard to the implicit learning in classification, Professor Yangzhiliang adopted two- dimensions' method to turn up there's implicit learning and implicit learning effect in social cognition's classification. The author also adopts this method to induct study of implicit learning to causality classification, and adopt the procedure of process separation to probe into the implicit learning in causality classification.The study comprises three experiments, with the causality event being experimental material, exactness rate of classification and implicit or explicit contributions being dependent variable. Experiment 1 adopt mixed design of 3(group: implicit group, explicit group, control group ) X 2(causality dimension: causality locus, causality stability ) X 2(classification mode: inclusion examination, exclusion examination), and experiment 2 adopt mixed design of 2(group: implicit group, explicit group) X 3(causality dimension: causality locus, causality stability, causality controllability) X 2(classification mode: inclusion examination, exclusion examination). Both experiment 1 and experiment 2 see about if there exist implicit learning and implicit learning effect in the process of causality classification. Experiment 3 adopt entirely randomized design of single factor (group: implicit group, ex...
Keywords/Search Tags:implicit learning, explicit learning, causality classification
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