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Cited by 1,357

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Cognitive Flexibility, Constructivism, and Hypertext: Random Access Instruction for Advanced Knowledge Acquisition in Ill-Structured Domains

·2012·Constructivism in Education

Abstract

A central argument of this chapter is that there is a common basis for the failure of many instructional systems. The claim is that these deficiencies in the outcomes of learning are strongly influenced by underlying biases and assumptions in the design of instruction that represent the instructional domain and its associated performance demands in an unrealistically simplified and well-structured manner. We offer a constructivist theory of learning and instruction that emphasizes the real-world complexity and ill-structuredness of many knowledge domains. Any effective approach to instruction must simultaneously consider several highly intertwined topics, such as: • the constructive nature of understanding; • the complex and ill-structured features of many, if not most, knowl- edge domains; • patterns of learning failure; and • a theory of learning that addresses known patterns of learning failure.

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Metadata

Venue
Constructivism in Education
Publisher
Routledge
Published
2012-10-12
Pages
103-126
OpenAlex
W2895518762
Cited by
1,357
References
4
FWCI
226.76
Type
book chapter
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cognitive Flexibility, Constructivism, and Hypertext: Random Access Instruction for Advanced Knowledge Acquisition in Ill-Structured Domains. https://app.cochat.ai/papers/10.4324/9780203052600-11
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Cognitive Flexibility, Constructivism, and Hypertext: Random Access Instruction for Advanced Knowledge Acquisition in Ill-Structured Domains. (2012). Constructivism in Education. https://doi.org/10.4324/9780203052600-11

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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.