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Promoting Causal Agency: The Self-Determined Learning Model of Instruction

Open access
Wehmeyer, Michael L., Palmer, Susan B., Agran, Martin, Mithaug, Dennis E., Martin, James E.·2000·Exceptional Children

Abstract

Teachers seeking to promote the self-determination of their students must enable them to become self-regulated problem-solvers. This article introduces a model of teaching, The Self-Determined Learning Model of Instruction, incorporating principles of self-determination, which enables teachers to teach students to become causal agents in their own lives. This model was field-tested with students with disabilities. Students receiving instruction from teachers using the model attained educationally relevant goals, showed enhanced self-determination, and communicated their satisfaction with the process. Teachers implementing the model likewise indicated their satisfaction with the process and suggested that they would continue to use the model after the completion of the field test.

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Research works printed but not linked: 37

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Metadata

Authors
Wehmeyer, M. L., Palmer, S. B., Agran, M., Mithaug, D. E., & Martin, J. E.
Venue
Exceptional Children
Published
2000-06
Volume
66
Issue
4
Pages
439-453
ISSN
  • 0014-4029 (ISSN-L)
  • 2163-5560
OpenAlex
W2115037527
Cited by
467
References
0
FWCI
29.40
Type
journal article
Language
en
Open access
green
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)

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CoChat. (2026). Citation check: Promoting Causal Agency: The Self-Determined Learning Model of Instruction. https://app.cochat.ai/papers/10.1177/001440290006600401
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Wehmeyer, M. L., Palmer, S. B., Agran, M., Mithaug, D. E., & Martin, J. E. (2000). Promoting Causal Agency: The Self-Determined Learning Model of Instruction. Exceptional Children. https://doi.org/10.1177/001440290006600401

Data sources

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.