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Cited by 431

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

On Some Necessary Conditions of Learning

Marton, Ference, Pang, Ming Fai·2006·Journal of the Learning Sciences

Abstract

The purpose of this article is to identify some necessary conditions of learning. To learn something, the learner must discern what is to be learned (the object of learning). Discerning the object of learning amounts to discerning its critical aspects. To discern an aspect, the learner must experience potential alternatives, that is, variation in a dimension corresponding to that aspect, against the background of invariance in other aspects of the same object of learning. (One could not discern the color of things, for instance, if there was only one color.) The study results illustrate that what students learn in a sequence of lessons is indeed a function of the pattern of variation and invariance constituted in that sequence. All teachers make use of variation and invariance in their teaching, but this study shows that teachers informed by a systematic framework do it more systematically, with striking effects on their students' learning.

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Metadata

Authors
Marton, F., & Pang, M. F.
Venue
Journal of the Learning Sciences
Published
2006-04
Volume
15
Issue
2
Pages
193-220
ISSN
  • 1050-8406 (ISSN-L)
  • 1532-7809
OpenAlex
W1986138555
Cited by
431
References
24
FWCI
10.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: On Some Necessary Conditions of Learning. https://app.cochat.ai/papers/10.1207/s15327809jls1502_2
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Marton, F., & Pang, M. F. (2006). On Some Necessary Conditions of Learning. Journal of the Learning Sciences. https://doi.org/10.1207/s15327809jls1502_2

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.