바로가기메뉴

본문 바로가기 주메뉴 바로가기

Korean Journal of Psychology: General

  • KOREAN
  • P-ISSN1229-067X
  • E-ISSN2734-1127
  • KCI

The Effect of Categorization training on Children's inductive reasoning

Korean Journal of Psychology: General / Korean Journal of Psychology: General, (P)1229-067X; (E)2734-1127
2011, v.30 no.2, pp.571-597


Abstract

The present study examined whether the pattern of development of inductive reasoning for Korean children is consistent with that for American children as demonstrated in the work by Lopez, Gelman, Gutheil, and Smith(1992) which applied a Similarity Coverage Mode(Osherson, Smith, Wilkie, Lopez, & Shafir, 1990) to children's inductive reasoning. Experiment 1, this study replicated several inductive phenomena of Lopez et al.(1992). Performance of Korean children not well solved as compared with Lopez et al.'s. Korean children showed lower performance about familiarization task as well as inductive task. Familiarization task simple decide to which category belong to each instances in order to practice inductive task. Performance of participants needs to improvement. In experiment 2, Researchers observed whether categorization training result in improvement of children' performance. The result showed ability of inductive reasoning was improved as much as Lopez et al.'s for the grade three in the several phenomena. However, preschoolers did not show performance of familiarization task is not match to Lopez et al's. In experiment 3, After training more explicit categorization to only preschoolers, Korean preschooler showed familiarization task and inductive task were consistent with Lopez et al's results. These experiment shows inductive ability of Korean children is lower on the surface than American's. However, After focusing on categorization through short training, Inductive performance of Korean children's improved. Abstract of category concept is implicit because of focusing on relation in Korean language. This study proposes that implicit categorization ability reveals explicit one through short training, what pattern show Korean children in the inductive development, and what is the relation between ability of inductive reasoning and categorization reasoning.

keywords
inductive reasoning, categorization training, category-based induction, similarity coverage model, 귀납추리, 범주화 훈련. 범주 기반 귀납, 유사성 포괄 모형

Reference

1.

신현정 (2003). 인터넷을 이용하여 작성된 범주규준의 타당도 연구Ⅰ. 한국심리학회지: 실험, 15(2), 303-347.

2.

이관용 (1991). 우리말 범주규준 조사 -본보기 산출 빈도, 전형성, 그리고 세부특징 조사. 한국심리학회지: 실험 및 인지, 3, 131-160.

3.

Bailenson, J. D., Shum, M. S., Atran, S., Medin, D. L., & Coley, J. D. (2002). A bird's eye view: biological categorization and reasoning within and across cultures. Cognition, 84, 1-53.

4.

Blok, S. V., & Gentner, D. (2000). Reasoning from shared structure. Proceedings of the Twenty-second Annual Conference of the Cognitive Science Society, 621-626.

5.

Choi, S. J., & Gopnik, A. (1995). Early acquisition of verbs in Korean: a cross-linguistic study. Journal of Child Language, 22, 497-529.

6.

Fisher, A. V., & Sloutsky, V. M. (2005a). When Induction meets memory: Evidence for gradual transition from similarity-based to category- based induction. Child Development, 76, 583-597.

7.

Fisher, A. V., & Sloutsky, V. M. (2005b). Similarity, Induction, naming, and Categorization(SINC): Generalization of inductive reasoning? Reply to Heit and Hayes(2005) Journal of Experimental Psychology: General, 134, 606-611.

8.

Gelman, S. A. (1988). The development of induction within natural kind and artifact categories. Cognitive Psychology, 20, 65-95.

9.

Gelman, S. A. & Coley, J. (1991). Language and categorization: The acquisition of natural kind terms. In S. A. Gelman & J. P. Byrnes (Eds.), Perspectives on language and thought: Interrelations in development (pp.146-196). New York: Cambridge University Press.

10.

Gelman, S. A. & Markman, E. (1986). Categories and induction in young children. Cognition, 23, 183-209.

11.

Gentner, D., & Medina. J. (1998). Similarity and the development of rules. Cognition, 65, 263-297.

12.

Gopnik, A., & Choi, S. J. (1990). Do linguistic differences lead to cognitive differences? A cross-linguistic study of semantic and cognitive development. First Language, 10, 199-215.

13.

Gutheil, G., & Gelman, S. A. (1997). Children's use of sample size and diversity information within basic-level categories. Journal of Experimental Child Psychology, 64, 159-174.

14.

Hayes, B. K., Foster, K., & Gadd, N. (2003). Prior knowledge and subtyping effects in children's category learning. Cognition. 88, 171-199.

15.

Heit, E. (1998). A Bayesian analysis of some forms of inductive reasoning. In M. Oaksford & N. Chater (Eds.), Rational models of cognition (pp.248-274). Oxford, England: Oxford University Press.

16.

Heit, E., & Hahn, U. (2001). Diversity-based reasoning in children. Cognitive Psychology, 43, 243-273.

17.

Johnson, K. E. & Mervis, C. B. (1997). Effects of varying levels of expertise on the basic level of categorization. Journal of Experimental Psychology: General, 126, 248-277.

18.

Karmiloff-Smith, A. (1992) Beyond modularity: A developmental perspective on cognitive science. Cambridge, MA: MIT Press.

19.

Karmiloff-Smith, A. (1994) Précis of beyond modularity: A developmental perspective on cognitive science. Behavioral and Brain Sciences, 17, 693-745.

20.

Keil, F. C., Smith. W. C., Simons. D. T., & Levin. D. T. (1998). Two dogmas of conceptual empiricism: implications for hybrid models of the structure of knowledge. Cognition, 65, 103-135.

21.

Lo, Y., Sides, A., Rozelle, J., & Osherson, D. (2002). Evidential diversity and premise probability in young children's inductive judgment. Cognitive Science, 16, 181-206.

22.

Lopez, A., Atran, S., Coley, J. D., Medin, D. L., & Smith, E. E. (1997). The tree of life: Universal and cultural features of folkbiological taxonomies and inductions. Cognitive Psychology, 32, 251-295.

23.

Lopez, A., Gelman, S. A, Gutheil, G., & Smith, E. E. (1992). The development of category- based induction. Child Development, 63, 1070-1090.

24.

Markman, E. M. (1990). Categorization and naming in children. Cambridge, MA: MIT Press.

25.

Maratsos, M. (1991). How the acquisition of nouns may be different from that of verbs. In N. Krasnegor, D. Rumbaugh, R. Schiefelbusch, & M. Studdert-Kennedy(eds), Biological and behavioral determinants of language development. Hillsdale, NJ: Erlbaum.

26.

Medin, D. J., Lynch, E. B., Coley, J. D., & Atran, S. (1997). Categorization and reasoning among tree experts: Do all roads lead to Rome? Cognitive Psychology, 32, 49-96.

27.

Murphy, G. L. & Medein, D. L. (1985) The role of theories in conceptual coherence. Psychological Review, 92, 289-316.

28.

Murphy, G. L. & Ross, B. H. (2005) The two faces of typicality in category-based induction. Cognition, 95, 175-200.

29.

Nelson, K. (1973). Structure and strategy in learning to talk. Monographs of the Society for Research in Child Development. 38, 1-136.

30.

Nelson, K., Hampson, J., & Kessler Shaw, L. (1993). Nouns in early lexicons: evidence, explanations and implications. Journal of Child language, 20, 61-84.

31.

Nisbett, R. E., Peng, K., Choi, I., & Norenzayan, A. (2001). Culture and Systems of Thought: Holistic Versus Analytic Cognition. Psychological Review, 108(2), 291-310.

32.

Opfer, J. E., & Bulloch, M. J. (2007). Causal relations drive young children's induction, naming, and categorization. Cogniton, 105, 206-217.

33.

Osherson, D. N., Smith, E. E., Wilkie, O., Lopez, A., & Shafir, E. (1990). Category-based induction. Psychological Review, 97, 185-200.

34.

Osherson, D. N., Stern, J., Wilkie, O., Stob, M., & Smith, E. E. (1991). Default probability. Cognitive Science, 15, 251-269.

35.

Proffitt, J. B., Coley, J. D., & Medin, D. L. (2000). Expertise and category-based induction. Journal of Experimental Psychology: Learning, Memory, & Cognition, 26, 811-828.

36.

Rattermann, M. J., & Gentner, D. (1998). More evidence for a relational shift in the development of analogy: Children's performance on a causal-mapping task Cognitive Development, 13, 453-478.

37.

Reber, A. S. (1993). Implicit learning and tacit knowledge: An essay on the cognitive unconscious (Oxford Psychology Series No. 19). New York: Oxford University Press.

38.

Rips, L. J. (1975). Inductive judgments about natural categories. Journal of Verbal Learning and Verbal Behavior, 14, 665-681.

39.

Sætrevik, B., Reber, R., & Sannum, P. (2006). The utility of implicit learning in the teaching of rules. Learning and Instruction, 16, 363-373.

40.

Shafto, P., & Coley, J. D. (2003). Development of Categorization and Reasoning in the Natural World: Novices to Experts, Naive Similarity to Ecological Knowledge. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29, 641-649.

41.

Sloman, S, A. (1993). Feature-based induction. Cognitive Psychology, 25, 231-280.

42.

Sloutsky, V. M. (2003). The role of similarity in the development of categorization. Trends in Cognitive Sciences, 7, 246-251.

43.

Sloutsky, V. M., & Fisher, A. V. (2004). Induction and categorization in young children: A similarity-based model. Journal of Experimental Psychology: General. 133, 166-188.

44.

Smith, E. E., & Grossman, M. (2007). Multiple systems of category learning. Neuroscience and Biobehavioral Review, 1-16.

45.

Smith, E. E., Patalano, A. L., & Jonides, J. (1998). Alternative strategies of categorization. Cognition, 65, 167-196.

46.

Steffler, D. J. (2001). Implicit cognition and spelling development. Developmental Review, 21, 168-204.

47.

Tenenbaum, J. B., Griffiths, T. L., & Kemp, C.(2006) Theory-based bayesian models of inductive learning and reasoning. Trends in Cognitive Science, 10, 309-318.

48.

Viale, R., & Osherson. (2000). The diversity principle and the little scientist hypothesis. Foundation of Science, 5, 239-253.

Korean Journal of Psychology: General