The Design, Development and Evaluation of a Web-based Tool for Helping Veterinary Students Learn How to Classify Clinical Laboratory Data

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dc.contributor.authorDanielson, Jared Andrewen
dc.contributor.committeechairBurton, John K.en
dc.contributor.committeememberBender, Holly S.en
dc.contributor.committeememberCennamo, Katherine S.en
dc.contributor.committeememberHolmes, Glen A.en
dc.contributor.committeememberLockee, Barbara B.en
dc.contributor.committeememberSherman, Gregory P.en
dc.contributor.departmentTeaching and Learningen
dc.date.accessioned2014-03-14T20:14:43Zen
dc.date.adate1999-08-13en
dc.date.available2014-03-14T20:14:43Zen
dc.date.issued1999-07-07en
dc.date.rdate2000-08-13en
dc.date.sdate1999-08-03en
dc.description.abstractVeterinary students face the difficult task of learning to classify clinical laboratory data. In an effort to make this task easier, a computer and web based tool known as the Problem List Generator (PLG) was designed based on current literature dealing with learning theory and medical education which are reviewed in chapter 1. Chapter 2 describes the design and the development process for the PLG. The PLG allows the students to access any number of cases (determined by the professor) of increasing complexity which provide signalment, history, physical exam, and laboratory data for a number of patients. Using the PLG, students analyze the data, identify data abnormalities and mechanisms, arrange them in a problem list, diagnose the problem, and compare their problem list and diagnosis to an expert problem list and diagnosis. The PLG was evaluated using a four step evaluation process involving an expert review, one-to-one evaluations, small group evaluations, and a two-part field trial, and was evaluated in terms of clarity, feasibility, and impact. The PLG is usable, in terms of clarity and feasibility, though fixes are recommended. There is no evidence to infer, statistically, that the PLG has any effect on learning outcomes. However, trends in the quantitative data and logical inference based on the context of the evaluation suggest that the PLG might help students, particularly those of low and average ability to produce more accurate problem lists.en
dc.description.degreePh. D.en
dc.identifier.otheretd-080399-152508en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-080399-152508/en
dc.identifier.urihttp://hdl.handle.net/10919/28511en
dc.publisherVirginia Techen
dc.relation.haspartDanielsonDiss.pdfen
dc.relation.haspartdanielsonvita.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectWeb based Instructionen
dc.subjectClinical Pathologyen
dc.subjectExpert Schemeen
dc.subjectDistance Educationen
dc.subjectApplied Learning Theoryen
dc.titleThe Design, Development and Evaluation of a Web-based Tool for Helping Veterinary Students Learn How to Classify Clinical Laboratory Dataen
dc.typeDissertationen
thesis.degree.disciplineCurriculum and Instructionen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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