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ERIC Number: EJ1074788
Record Type: Journal
Publication Date: 2015-Sep
Pages: 22
Abstractor: As Provided
Reference Count: 32
ISBN: N/A
ISSN: ISSN-2329-4922
Teaching Real-World Applications of Business Statistics Using Communication to Scaffold Learning
Green, Gareth P.; Jones, Stacey; Bean, John C.
Business and Professional Communication Quarterly, v78 n3 p314-335 Sep 2015
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.
SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Publication Type: Journal Articles; Tests/Questionnaires; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Washington