Teaching Real-World Applications of Business Statistics Using Communication to Scaffold Learning
| Autor: | Gareth P. Green, Stacey Jones, John C. Bean |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Knowledge management
Business statistics Computer science business.industry Teaching method Deep learning Economics Econometrics and Finance (miscellaneous) Real estate Data science Purchasing Arts and Humanities (miscellaneous) Transfer of training Business Management and Accounting (miscellaneous) Artificial intelligence Business and International Management Transfer of learning business Business communication |
| Zdroj: | Business and Professional Communication Quarterly. 78:314-335 |
| ISSN: | 2329-4922 2329-4906 |
| DOI: | 10.1177/2329490615588908 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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