Abstract

Our assessment research suggests that quantitative business courses that rely primarily on algorithmic problem solving may not produce the deep learning required for addressing real-world business problems. This article illustrates a strategy, supported by recent learning theory, for promoting deep learning by moving students gradually from “well-structured” algorithmic problems with single correct answers to “ill-structured” real-world business problems that may have multiple correct answers and require an argument addressed to a specific audience. We show how these scaffolded communication assignments promote deep learning, and suggest ways that interested faculty can adapt the assignments to their own courses.

Journal
Business and Professional Communication Quarterly
Published
2015-09-01
DOI
10.1177/2329490615588908
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Cited by in this index (3)

  1. Business and Professional Communication Quarterly
  2. Business and Professional Communication Quarterly
  3. Business and Professional Communication Quarterly

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