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PubMed · 3525441

Instructional computing in American nursing programs.

B S Thomas
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Abstract

This paper summarizes more than a decade of progress on computing in nursing education and reports the results of a two-phase study of instructional computing in American nursing programs. The study reveals an enormous range of activity in nursing education, the importance of various barriers to growth and use of computers and the perceptions of deans and directors of potential remedies and the feasibility of each.

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Computer-Assisted InstructionComputersDelphi TechniqueEducation, NursingFaculty, NursingSoftwareUnited StatesJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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B S Thomas. 1986. Instructional computing in American nursing programs.. https://doi.org/10.1016/0020-7489(86)90020-9

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[Model trial: use and evaluation of a problem-oriented learning program in internal medicine].

BACKGROUND: Problem-based training is a new approach in medical education. It is in particular essential that students work actively with authentic medical cases. Modern software is appropriate for developing interactive case-based training systems and the use in teaching environments. This method is still rarely integrated within medical curricula. METHOD: In an educational trial with 287 students the conceptual background, feasibility and evaluation are discussed. The learning program CASUS was used to present the case of a macroprolactinoma for interactive training. A questionnaire with a return rate of 78% was used for evaluation. RESULTS: 96% of the students had no problems in learning how to handle and use the program. A major problem was to focus the contents of the program exactly to the students' needs. The students' judgement was independent of the individual computer skills. 82% of the students would like to use the program in the future. CONCLUSION: Case-based and computer-assisted learning increases motivation and probably improves the quality in medical education. Controlled trials have to be implemented in future to show the effectiveness and the long-term output of these learning systems.

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