Improving information products for System 2 decision support
by Gibson, Neal, Ph.D., UNIVERSITY OF ARKANSAS AT LITTLE ROCK, 2010, 138 pages; 3413931

Abstract:

The creation, maintenance, and management of Information Product (IP) systems that are used by organizations for complex decisions represent a unique set of challenges. These challenges are compounded when the purpose of such a systems is also for knowledge creation and dissemination. Information quality research to date has focused mainly upon treating IP independent from the actual users, despite the obvious interdependency between the two. Research in cognitive psychology has established a dual-process model for human cognition. Designing IP systems in recognition of these differing methods of human cognition represents a new approach to improving their quality. Education data and the decisions that need to be made from such data represent a task environment that cognitive psychologists label as “System 2;” multifaceted decisions needing to be made from complex data, with little agreement on the solution set. This research demonstrates the efficacy of designing IP systems specific to System 2 decision support by the creation of a new application specific to education data and evaluating user responses as to its fitness for use.

 
AdviserJohn Talburt
SchoolUNIVERSITY OF ARKANSAS AT LITTLE ROCK
SourceDAI/A 71-09, p. , Sep 2010
Source TypeDissertation
SubjectsEducational tests & measurements; Information science; Computer science
Publication Number3413931
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