A knowledge acquisition and recall theory approach to designing an intelligent tutoring system

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dc.creatorFowler, David Gayle
dc.date.accessioned2016-11-14T23:08:04Z
dc.date.available2011-02-18T22:43:21Z
dc.date.available2016-11-14T23:08:04Z
dc.date.issued1990-08
dc.degree.departmentBusiness Administrationen_US
dc.description.abstractRecently, there has been an increasing interest in the development of an educational tool known as intelligent tutoring systems. These are systems that attempt to emulate human tutors in teaching problem-solving strategies. Using computers as an educational tool is becoming more feasible by incorporating artificial intelligence techniques and cognitive processing theories. However, there is debate over the proper use of these techniques in the design of these systems. This study derived a model of cognitive processing based on the Adaptive Control of Thought Theory that is known as the Knowledge Acquisition and Recall Theory. The model is used as a basis for a methodology for the design of an intelligent tutoring system that teaches problem-solving strategies for blood grouping discrepancies. The system developed was tested to determine the effectiveness of the methodology developed and to provide support for the concepts in the model of cognition developed. The results provide some evidence that an intelligent tutoring system designed using the methodology developed may aid in the knowledge acquisition process.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/2346/18739en_US
dc.language.isoeng
dc.publisherTexas Tech Universityen_US
dc.rights.availabilityUnrestricted.
dc.subjectIntelligent tutoring systemsen_US
dc.subjectImmunohematologyen_US
dc.subjectBlood groupsen_US
dc.subjectKnowledge acquisitionen_US
dc.titleA knowledge acquisition and recall theory approach to designing an intelligent tutoring system
dc.typeDissertation

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