Knowledge structures and problem representation for multiple concurrent and potential problems.

dc.contributor.advisorSmith, Patricia,en_US
dc.contributor.authorAzzarello, Phyllis Jo.en_US
dc.date.accessioned2013-08-16T12:29:52Z
dc.date.available2013-08-16T12:29:52Z
dc.date.issued1997en_US
dc.description.abstractTo investigate the research questions posed by this study, a novice/expert comparison design was used. The problem solving domain of interest was home health care nursing, with five newly licensed RNs participating as novices and five RNs experienced in home care nursing participating as experts. Participants completed a written question-answering task to measure pertinent knowledge structures, read a patient scenario, and answered scenario-related questions while thinking aloud. The scenario described a patient who had multiple concurrent, interacting problems plus was likely to develop additional problems if no interventions were instituted.en_US
dc.description.abstractThe findings of the study provided evidence that experts' underlying knowledge structures were more accurate, extensive, and interconnected than the novices'. Also, experts' problem representations were more complete, complex, and cohesive than those of the novices, with experts demonstrating some superiority in recognizing potential problems as well. Weaker knowledge links in underlying structural knowledge appeared to be associated with lesser ability to draw appropriate inferences during problem representation. Experts also appeared to have more knowledge of conditions of applicability of underlying knowledge to the problem situation than did the novices. A moderate positive relationship was also found between interconnectivity of structural knowledge and cohesion of problem representation.en_US
dc.description.abstractPrevious research on problem solving has shown that possession of organized and interconnected knowledge structures appear to underlie superior problem representation ability. The majority of research on the relationship of structural knowledge and problem solving has concentrated on representation of problems that consist of a single problem entity. Many times, however, a problem situation actually consists of several concurrent and interacting problem entities, each requiring its own set of solutions. In addition, current research has not examined those cases where problem data indicate the potential for a problem to develop, in which solvers are required to recognize the likelihood of a future problem. This study examined knowledge structures and problem representation in persons facing a complex problem situation that consists of coexisting multiple actual and potential problems.en_US
dc.format.extentxi, 117 leaves :en_US
dc.identifier.urihttp://hdl.handle.net/11244/5552
dc.noteSource: Dissertation Abstracts International, Volume: 58-09, Section: A, page: 3412.en_US
dc.noteAdviser: Patricia Smith.en_US
dc.subjectHealth Sciences, Nursing.en_US
dc.subjectPsychology, Cognitive.en_US
dc.subjectProblem solving.en_US
dc.subjectKnowledge, Sociology of.en_US
dc.subjectEducation, Educational Psychology.en_US
dc.thesis.degreePh.D.en_US
dc.thesis.degreeDisciplineDepartment of Educational Psychologyen_US
dc.titleKnowledge structures and problem representation for multiple concurrent and potential problems.en_US
dc.typeThesisen_US
ou.groupJeannine Rainbolt College of Education::Department of Educational Psychology
ou.identifier(UMI)AAI9810309en_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
9810309.PDF
Size:
2.71 MB
Format:
Adobe Portable Document Format