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Related Experiment Videos

Can users estimate their usage of a web-based application? Validating a self-report usage questionnaire.

Firas H Wehbe1, Joshua C Denny, Anderson Spickard

  • 1Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|June 17, 2006
PubMed
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Medical students

Area of Science:

  • Medical Education
  • Health Informatics
  • User Behavior Analysis

Background:

  • Online learning systems are crucial in medical education.
  • Accurate usage estimation is vital for system improvement.
  • User surveys are a common but potentially imprecise method.

Purpose of the Study:

  • To validate self-reported usage of an online medical education system against server logs.
  • To assess the reliability of user frequency scales in estimating system utilization.
  • To determine if self-reported data can accurately categorize users by usage levels.

Main Methods:

  • Medical students were surveyed about their weekly use of the KnowledgeMap system.
  • Self-reported usage data was compared with objective server log file records.

Related Experiment Videos

  • Statistical analysis was performed to identify differences in log-on days across reported usage categories.

    • Main Results:

    • A significant difference was found in the average number of log-on days between self-reported usage groups.
    • Server log data provided objective validation for user-reported frequency.
    • The study demonstrated a correlation between perceived and actual system usage.

    Conclusions:

    • Self-reported frequency scales are a viable tool for categorizing users of online educational systems.
    • Validated user surveys can reliably segregate users into distinct usage groups.
    • This methodology supports accurate assessment of online system engagement in medical education.