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https://doi.org/10.31228/osf.i...
Article . 2017 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Legal Reference Services Quarterly
Article . 2009 . Peer-reviewed
Data sources: Crossref
Open Science Framework
Preprint . 2017
Data sources: Datacite
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Thinking Like a Research Expert: Schemata for Teaching Complex Problem-Solving Skills

Authors: Callister, Paul;

Thinking Like a Research Expert: Schemata for Teaching Complex Problem-Solving Skills

Abstract

The difference between expert and novice problem-solvers is that experts have organized their thinking into schemata or mental constructs to both see and solve problems. This article demonstrates why schemata are important, arguing that schemata need to be made explicit in the classroom. It illustrates the use of schemata to understand and categorize complex research problems, map the terrain of legal research resources, match appropriate resources to types of problems, and work through the legal research process. The article concludes by calling upon librarians and research instructors to produce additional schemata and develop a common hierarchical taxonomy of skills, a “Bloom’s Taxonomy,” which would define problem-solving skills more precisely and set benchmarks for assessment.This is a draft copy only. The published version appears in 28 LEGAL REFERENCES SERVICES QUARTERLY 31-51 (2009), which version should be cited in subsequent publications.

Keywords

LawArXiv|Law|Legal Education, bepress|Law|Legal Education, FOS: Law, Legal Education, LawArXiv|Law, Law, bepress|Law

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
hybrid