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Cited by 944

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Instructional Models in Physical Education

Metzler, Michael·2017·Routledge eBooks

Abstract

Ensures that physical educators are fully armed with a comprehensive plan for incorporating instructional models in their teaching! Instructional Models for Physical Education has two primary goals for its readers. The first is to familiarize them with the notion of model-based instruction for physical education, including the components and dimensions that determine a model's pattern of teaching and how to select the most effective model for student learning in a particular unit. The second goal is to describe each of the instructional models in such a way to give readers enough information to use any of the models with confidence and good results. The book includes everything readers will need for planning, implementing, and assessing when teaching with instructional models. It will help readers incorporate research-based practices in their lessons, adapt activities to include students of varying abilities, and teach to standards. Models tied to NASPE standards! The author has revised the third edition to show how using the instructional models can help teachers meet specific NASPE standards. The book demonstrates the connection of NASPE standards with the models and clarifies that connection for students. In addition, a table in each of the model chapters shows explicitly how the model aligns with NASPE standards.

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Metadata

Authors
Metzler, M.
Venue
Routledge eBooks
Publisher
Routledge
Published
2017-06-30
OpenAlex
W1549509745
Cited by
944
References
0
FWCI
134.26
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Instructional Models in Physical Education. https://app.cochat.ai/papers/10.4324/9781315213521
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Metzler, M. (2017). Instructional Models in Physical Education. Routledge eBooks. https://doi.org/10.4324/9781315213521

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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.