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Cited by 280

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Peer Assisted Learning: A Framework for Consultation

Topping, Keith J., Ehly, Stewart W.·2001·Journal of Educational and Psychological Consultation

Abstract

In this article we explore ways in which the development of peer assisted learning (PAL) interventions can enhance the work of educational and psychological consultants. The range and scope of PAL strategies are reviewed, although the main focus is on simpler methods that are relatively easy and swift to implement. Organizational dimensions on which PAL interventions can vary are then explicated. Essential practical elements in the successful organization of local PAL programs are discussed. A model is provided of the routes and channels through which PAL strategies have their effects. This conceptual framework should help consultants illuminate the relevance of PAL to particular local needs, and promote the development of PAL into forms adding most educational value. Ways in which this framework might be applied in practice are explored. The interested reader is referred to more detailed sources and resources.

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Crossref · 10.1207/s1532768xjepc1202_03

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Metadata

Authors
Topping, K. J., & Ehly, S. W.
Venue
Journal of Educational and Psychological Consultation
Published
2001-06
Volume
12
Issue
2
Pages
113-132
ISSN
  • 1047-4412 (ISSN-L)
  • 1532-768X
OpenAlex
W1994712460
Cited by
280
References
15
FWCI
10.38
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Peer Assisted Learning: A Framework for Consultation. https://app.cochat.ai/papers/10.1207/s1532768xjepc1202_03
The paper
Topping, K. J., & Ehly, S. W. (2001). Peer Assisted Learning: A Framework for Consultation. Journal of Educational and Psychological Consultation. https://doi.org/10.1207/s1532768xjepc1202_03

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.