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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2451/14363
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| Title: | THE LIVING CASE: SEARCHING FOR A DEEPER STRUCTURE IN THE CASE ANALYSIS PROCESS |
| Authors: | Kumar, Rachna Turner, Jon A. |
| Issue Date: | Mar-1991 |
| Publisher: | Stern School of Business, New York University |
| Series/Report no.: | IS-91-07 |
| Abstract: | One of the primary methods of instruction in business disciplines is the
case. However, in its current form of written presentation, some of the
basic learning goals associated with case instruction are compromised.
We have used new forms of media involving computing and communication to
build a novel learning environment, the Living Case, which flexibly and
interactively presents cases along with provide dynamic, on-going
feedback to students analyzing a case. In our research we have
formalized the process of analyzing a case in order to recognize and
interpret student analysis behavior so that provide relevant assistance
can be provided. Case analysis is characterized as a problem solving
activity driven by comprehension and reasoning operators. A search for
these operators led us to build an inventory of reading activities.
Twelve hours of protocols are analyzed using "retelling
profiles" as an interpretation mechanism. Retelling profiles are
visual time plots of the activities undertaken in a reading task. Our
preliminary results suggest a deeper structure to case analysis which is
common across business disciplines, cases, and individuals. Differences
between the analysis strategies of experts and novices are also
formalized. Finally, an expert's analogical reasoning strategy using
task-specific knowledge encoded as "templates" is identified
as a major contributor to their efficiency in solving cases. Templates
of typical company situations and responses are triggered early in the
analysis process, and subsequent data gathering and reasoning is
directed by an attempt to apply the template to the case situation. |
| URI: | http://hdl.handle.net/2451/14363 |
| Appears in Collections: | IOMS: Information Systems Working Papers
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