ABSTRACT
The notions of implicit learning and implicit of tacit knowledge first became popular in the 1960s (Reber, 1967; Polanyi, 1967). However, they have rarely been applied to education. Most empirical studies of implicit learning and knowledge have used experimental paradigms. We argue that in order for these notions to be investigated in real-world educational situations, other research methods are necessary. In light of this, we report the results of an interview study of implicit knowledge in computer programming education. Several cues that helped us to determine that knowledge was implicit are explained and illustrated with examples. We conclude the interviews can be useful in investigating nonconscious knowledge and offer some observations concerning implicit knowledge about programming that became apparent from this study.
- Baars, B. (1997). Some essential differences between consciousness and attention, perception, and working memory. Conscious Cognition, 6(2--3), 363--371.Google Scholar
- Berry, D. C., & Broadbent, D. E. (1984). On the relationship between task performance and associated verbalizable knowledge. The Quarterly Journal of Experimental Psychology, 36(A), 209--231.Google Scholar
- Chomsky, N. (1965) Aspects of the Theory of Syntax. MIT Press.Google Scholar
- Claxton, G. (1998). Knowing without knowing why. The Psychologist, May, 217--220.Google Scholar
- Ericsson, K. A., & Simon, H. A. (1980). Verbal reports as data. Psychological Review, 87, 215--251.Google ScholarCross Ref
- Kuhn, G., & Dienes, Z. (2005). Implicit learning of non-local musical rules. Journal of Experimental Psychology: Learning, Memory, & Cognition, 31, 1417--1432Google ScholarCross Ref
- Mancy, R. (2006) Explicit and implicit learning: the case of computer programming. PhD Thesis, University of Glasgow.Google Scholar
- Mathews, R. C. (1997). Is research painting a biased picture of implicit learning? The dangers of methodological purity in scientific debate. Psychological Bulletin & Review, 4(1), 38--42.Google ScholarCross Ref
- McGeorge, P., & Burton, A. M. (1990). Semantic processing in an incidental learning task. The Quarterly Journal of Experimental Psychology, 42A(3), 597--609.Google ScholarCross Ref
- Nisbett, R. E., & Wilson, T. D. (1977). Telling more than we can know: Verbal reports on mental processes. Psychological Review, 84, 231--259.Google ScholarCross Ref
- Nissen, M. J., & Bullemer, P. T. (1987). Attentional requirements for learning: Evidence from performance measures. Cognitive Psychology, 19, 1--32.Google ScholarCross Ref
- Pacton, S., Perruchet, P., Fayol, M., & Cleeremans. (2001). Implicit Learning Out of the Lab: The Case of Orthographic Regularities. Journal of Experimental Psychology, 130(3), 401--426.Google ScholarCross Ref
- Polanyi, M. (1967). The Tacit Dimension. London: Routledge & Kegan Paul Ltd.Google Scholar
- Reber, A. S. (1967). Implicit learning of artificial grammars. Journal of Verbal Learning and Verbal Behavior, 6, 855--863.Google ScholarCross Ref
- Schmidt, R. W. (1990). The role of consciousness in second language learning. Applied Linguistics, 11, 129--158.Google ScholarCross Ref
- Seger, C. A. (1994). Implicit learning. Psychological Bulletin & Review, 115(2), 163--196.Google ScholarCross Ref
- Tall, D., & Pinto, M. (2002). Building formal mathematics on visual imagery: a case study and a theory. For the learning of mathematics, 22(1), 2--10.Google Scholar
- Truscott, J. (1998). Noticing in second language acquisition: a critical review. Second Language Research, 14(2), 103--135.Google ScholarCross Ref
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