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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2451/14377
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| Title: | THE LIVING CASE: AN INTELLIGENT SYSTEM FOR PROVIDING CASE INSTRUCTION |
| Authors: | Turner, Jon A.
Kumar, Rachna |
| Issue Date: | Sep-1991 |
| Publisher: | Stern School of Business, New York University |
| Series/Report no.: | IS-91-22 |
| Abstract: | One of the primary methods of instruction in business education is the
case. However, some of the basic learning goals associated with case
instruction are compromised by its form of presentation. 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 dynamic, on-going feedback to
students while they work. Key to providing meaningful assistance daring
case analysis is the ability to model and interpret student behavior.
Several investigations were conducted in order to understand the process
of case analysis. Case analysis is characterized as a problem solving
activity driven by comprehension and reasoning operators. Twelve hours
of protocols are analyzed using "retelling profiles" as an
interpretation mechanism for further specifying the operators involved
in analyzing a case. 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 analysts, and therefore implementable in a
system like Living Case. Differences between the analysis strategies of
experts and novices are formalized in terms of the experts' use of
"templates" of typical company behaviors. This provides the
basis for building mechanisms to instruct and re-orient case analysts
using the Living Case system. The Living Case system is described along
with some of the insights gained during its construction. Future
research directions and instructional uses of the system are also discussed. |
| URI: | http://hdl.handle.net/2451/14377 |
| Appears in Collections: | IOMS: Information Systems Working Papers
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