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Evaluation of Web-based computer-aided instruction in a basic science course.

J A McNulty1, J Halama, M F Dauzvardis

  • 1Department of Cell Biology, Neurobiology, and Anatomy, Loyola University Stritch School of Medicine, Maywood, Illinois 60153, USA. jmcnult@luc.edu

Academic Medicine : Journal of the Association of American Medical Colleges
|February 10, 2000
PubMed
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Server statistics and user surveys effectively evaluated web-based computer-aided instruction (CAI) in medical education. CAI use correlated with course content and student performance, highlighting the value of web-based tools for objective utilization assessment.

Area of Science:

  • Medical Education Technology
  • Digital Learning Assessment

Background:

  • Undergraduate medical curricula increasingly incorporate web-based computer-aided instruction (CAI).
  • Evaluating the utilization and effectiveness of CAI is crucial for curriculum development.

Purpose of the Study:

  • To assess the combined utility of server statistics and user surveys for evaluating web-based CAI in undergraduate medical education.
  • To determine the correlation between CAI utilization, student computer literacy, and academic performance.

Main Methods:

  • Student surveys collected data on computer literacy and CAI usage.
  • Server logs recorded individual student utilization of web-based CAI modules.
  • Regression analyses examined correlations between server data, survey responses, and in-course examination scores.

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Main Results:

  • No significant correlation was found between initial computer literacy and CAI utilization.
  • CAI use aligned with specific course objectives, indicating curricular relevance.
  • Student performance in examinations showed significant correlation with CAI utilization patterns.
  • Discrepancies between survey responses and server data (10-20%) questioned survey validity.

Conclusions:

  • Web-based applications offer an efficient and objective method for evaluating CAI utilization at both individual and class levels.
  • Server statistics provide a more reliable measure of CAI engagement compared to self-reported surveys.