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A conceptual model deriving transfer from all-or-none learned common and falsely-common task elements and the product-moment correlation

Theory · All theories
Evidence · 4 claims (4 for) · 2 studies (2 causal), q1–q2 · 0 of 2 report an effect size · 4 claims rest on one study

Description

The model treats tasks as sets of mutually independent hypothetical elements whose extension corresponds to average mastery time. Transfer T is derived as proportional to the number of commonly identified elements minus falsely identified ones, and the product-moment correlation between tasks is derived under an all-or-none learning assumption, yielding T proportional to the unsquared correlation. The article argues this "does not require detailed task analyses, let alone a S-R decomposition" and makes psychometric research available to learning theory and instruction.

Design Implications

Context

Requirements

  • Both learning tasks must already be partially but not completely mastered (0 < p < 1, 0 < t < 1) for a meaningful correlation coefficient.
  • The single c-elements and f-elements must be learned at the same rate as all other elements, e.g., by equal-interval arrangement or equal sampling probability.

Constraints

  • Correlation coefficients are highly sensitive to subject sampling.
  • The model is not yet concerned with individual differences in transfer; it uses individual differences in performance to predict average transfer.

Target Learners

  • school-age learners in psychometric task settings (fifth graders in the validation study)

Target Learning Objectives

  • prediction of transfer of learning between cognitive tasks

Claims

Examples

Key Sources

  • Flammer, A. (1973). A Conceptual Model Relating Transfer of Learning and Correlation: Theoretical Paper No. 43. Wisconsin Research and Development Center for Cognitive Learning. https://eric.ed.gov/?id=ED085637
Page metadata
Field Value
type theory
title A conceptual model deriving transfer from all-or-none learned common and falsely-common task elements and the product-moment correlation
description The model treats tasks as sets of mutually independent hypothetical elements whose extension corresponds to average mastery time.
status review
canonical True
generated by claude/unspecified on 2026-09-25
trust unverified — no one has confirmed this page's content
sources 1 — flammer-1973

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