Introducing cancer nutrition to medical students: effectiveness of computer-based instruction
Open Access
- 1 April 2000
- journal article
- research article
- Published by Elsevier in The American Journal of Clinical Nutrition
- Vol. 71 (4) , 873-877
- https://doi.org/10.1093/ajcn/71.4.873
Abstract
Background: Computer-based instruction has been introduced at the University of North Carolina at Chapel Hill to augment its nutrition course for first-year medical students. Seven program modules have been completed; 2 more are planned. Each module explains the biochemistry and physiology of nutrition through interactive lessons, exercises, and a video case study. Objective: The goal of this study was to evaluate the instructional efficacy and acceptability of the nutrition and cancer module when used by first-year medical students. Design: The module was used by 163 first-year medical students at the university's medical school as an obligatory component of the nutrition course. Before and after using the module, students were asked to answer multiple-choice questions concerning their knowledge and attitudes; each question had 5 possible answers. Results: On average, students spent ≈3 h studying the lessons. The percentage of correct responses to 20 knowledge questions increased from 22% before the module was used to 86% immediately after its use. When a randomly selected subsample of 25% of the students took the same test 3 mo later, they answered 62% of the questions correctly. The increase in the percentage of students who felt prepared to provide advice regarding nutrition's role in cancer prevention (from 5.7% to 66.9%) suggested a successful subjective learning experience. Neither the students' initial level of interest in cancer nutrition nor their acceptance of computer-based instruction was related to learning outcome. Conclusions: The tested module is a useful and effective aid for teaching nutritional principles of cancer prevention. The evaluation strategy helped identify areas for instructional improvement.Keywords
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