You are here:

The Effects of Successful versus Failure-Based Cases on Argumentation while Solving Decision-Making Problems
ARTICLE

,

Educational Technology Research and Development Volume 61, Number 3, ISSN 1042-1629

Abstract

Solving complex, ill-structured problems may be effectively supported by case-based reasoning through case libraries that provide just-in-time domain-specific principles in the form of stories. The cases not only articulate previous experiences of practitioners, but also serve as problem-solving narratives from which learners can acquire meaning. The current study investigated the effects of different case-types (success, failures) on analogical transfer to similar problems. In the first week, undergraduate sales management students (N = 36) were assigned to different case library treatments (success, failure) and asked to construct a multifaceted argument (initial argument, counterargument, rebuttal) to resolve an ill-structured, decision-making hiring problem. In the following week, students constructed an argument to solve a novel case without the support of the case library. Data analysis revealed the failure-based case library condition produced significantly higher scores on measurements of counterarguments and holistic argumentation scores on both tasks. A discussion of the implications for pedagogy and instructional design are also presented.

Citation

Tawfik, A. & Jonassen, D. (2013). The Effects of Successful versus Failure-Based Cases on Argumentation while Solving Decision-Making Problems. Educational Technology Research and Development, 61(3), 385-406. Retrieved March 28, 2024 from .

This record was imported from ERIC on December 3, 2015. [Original Record]

ERIC is sponsored by the Institute of Education Sciences (IES) of the U.S. Department of Education.

Copyright for this record is held by the content creator. For more details see ERIC's copyright policy.

Keywords

Cited By

View References & Citations Map

These links are based on references which have been extracted automatically and may have some errors. If you see a mistake, please contact info@learntechlib.org.