Knowledge of results

Knowledge of results is a term in the psychology of learning.[1][2]p619 A psychology dictionary defines it as feedback of information:

"(a) to a subject about the correctness of [their] responses; (b) a student about success or failure in mastering material, or (c) a client in psychotherapy about progress".[3]

It describes the situation where a subject gets information which helps them to change behaviour in a desirable way, or to gain understanding.

There are a number of similar terms in psychology:

  • KCR: this means "knowledge of correct results". This implies that there is always a specific correct result.
  • Operant conditioning and reinforcement: this implies a behaviourist approach using schedules of reinforcement to "shape behaviour".
  • Feedback: this is a more general term, often used for the way systems adjust to preset limits. It is often used in general conversation, with various meanings. Corrective feedback is a version sometimes used in school education.

Knowledge of results,[1] or sometimes immediate knowledge of results,[4] can be used for any learning where a student (or an animal) gets information after the action. The information is about how satisfactory the action is.

Experimental evidence

An early experiment on knowledge of results was the machine invented by Sidney Pressey, where a device both tested and taught multiple-choice questions.[5][6] This method tells the user (by inference) only whether the choice was correct or not. The material was multiple choice items, and the method used as an addition to collecting classroom test scores.

Later work in training research and education used the term "knowledge of results" frequently.[7][8]

An important question was whether scores would be improved more if direct teaching was given either before or after the question was asked. The answer in both cases was (broadly) yes. Using instructional films, Michael and Maccoby split groups into two halves. Half the students were given material which required active, explicit responses. After a pause, they were told the correct answer. The other half was not given feedback. Instructional time was identical. The result showed a "slight but significant gain" for the active-response procedure without feedback, but more gain when feedback was provided. The experimenters later described this as "KCR" rather than "feedback".[9][10] Research on the active response itself is summarised in [2]p614. Later discussion of experiments like these suggested that the results might be due to practice rather than feedback. Undoubtedly, the set-up had given extra practice on the questions as well as knowledge of results, and the experiments often confounded the two factors.

Another issue is that knowledge of results may give information to the instructor as to ways the material can be improved. Using a teaching program on decimal arithmetic, an experienced teacher can put student mistakes into types. For example, one group of mistakes are due to the learners not understanding the rules about placement of the point in decimal multiplication. This shows where and how the learning material needs to be revised.

Conscious thought not always essential

Conscious thought is not always necessary for knowledge of results to have its effect. Research on implicit learning shows that complex information can be got by humans without their awareness.[11] This is also shown by experiments on animal learning which show the effects of knowledge of results on later behaviour. It seems likely that unconscious learning by results evolved first in early metazoa, and conscious thought very much later. This is what Reber calls the "primacy of the implicit", meaning implicit learning came first in evolution.[12]

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References
  1. Annett J. 1964. The role of knowledge of results in learning: a survey. In Educational Technology, De Cecco (ed), Holt, Rinehart & Winston, 279–285.
  2. Lumsdaine A.A. 1963. Instruments and media of instruction. In N.L. Gage (ed) Handbook of research on teaching. Chicago: AERA and Rand McNally, 583–682.
  3. Reber A.S. & E.S. 2001. The Penguin dictionary of psychology. London: Penguin, p381. ISBN 0-140-51451-1
  4. Rowntree, Derek 1966. Basically branching: a handbook for programmers. London: Macdonald, p41.
  5. Pressey S.L. 1926. A simple apparatus which gives tests and scores – and teaches. School and Society, 23 (586), 373–376.
  6. Lumsdaine A.A & Glaser R. (eds) 1960. Teaching machines and programmed learning I: a source book. Washington D.C. National Education Association.
  7. Lumsdaine A.A. 1962. Experimental research on instructional devices and materials. In Glaser R. (ed) Training research and education, Columbia University Press, and 1965: Science Editions, Wiley, p260–263.
  8. Smode A.F. 1962. Recent development in training problems, and training and training research methodology. In Glaser R. (ed) Training research and education, New York: Columbia University Press, and 1965: Science Editions, Wiley, p471–477 and 484.
  9. Michael D.N. & Maccoby N. 1953. Factors influencing verbal learning from films under varying methods of audience participation. J. Experimental Psychology 46, 411–418.
  10. Michael D.N. & Maccoby N. 1961. Factors influencing the effects of audience participation on verbal learning from films: motivating versus practice effects. In Lumsdaine A.A. (ed) Student response in programmed instruction: a symposium. Washington D.C. National Academy of Sciences–National Research Council, publication #943.
  11. Reber A.S. 1993. Implicit learning and tacit knowledge: an essay on the cognitive unconscious. Oxford University Press, p10. ISBN 0-19-510658-X
  12. Reber A.S. 1993. Implicit learning and tacit knowledge: an essay on the cognitive unconscious. Oxford University Press, Chapter 3: Evolutionary considerations: the primacy of the implicit.
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