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Danielson, Jared A.; Burton, John K. – 1999
This paper describes Virginia Polytechnic and State University's efforts to effectively adopt emerging technologies on a general basis. The various systems that come into play in this context are discussed, including the macro-system (the university itself) and sub-systems (departments and programs). Introduction of a compensating sub-system,…
Descriptors: Adoption (Ideas), College Faculty, Computer Uses in Education, Educational Technology
Burton, John K.; Danielson, Jared A. – Educational Media and Technology Yearbook, 1999
Describes "housecalls," a program at Virginia Tech that provides personal technical assistance to faculty, and shows how the program promotes innovation in instructional technology within a hierarchy of faculty technical and instructional support needs. Addresses innovation theory and demonstrates the presence of eight conditions that…
Descriptors: College Faculty, Computer Uses in Education, Educational Technology, Educational Theories
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Danielson, Jared A.; Mills, Eric M.; Vermeer, Pamela J.; Preast, Vanessa A.; Young, Karen M.; Christopher, Mary M.; George, Jeanne W.; Wood, R. Darren; Bender, Holly S. – Educational Technology Research and Development, 2007
Three related studies replicated and extended previous work (J.A. Danielson et al. (2003), "Educational Technology Research and Development," 51(3), 63-81) involving the Diagnostic Pathfinder (dP) (previously Problem List Generator [PLG]), a cognitive tool for learning diagnostic problem solving. In studies 1 and 2, groups of 126 and 113…
Descriptors: Veterinary Medical Education, Control Groups, Clinical Diagnosis, Problem Solving
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Danielson, Jared A.; Bender, Holly S.; Mills, Eric M.; Vermeer, Pamela J.; Lockee, Barbara B. – Educational Technology Research and Development, 2003
Describes the result of implementing the Problem List Generator, a computer-based tool designed to help clinical pathology veterinary students learn diagnostic problem solving. Findings suggest that student problem solving ability improved, because students identified all relevant data before providing a solution. (MES)
Descriptors: Clinical Diagnosis, Comparative Analysis, Computer Assisted Instruction, Higher Education