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Why Medical Students Choose to Use or Not to Use a Web-Based Electrocardiogram Learning Resource: Mixed Methods

Mikael Nilsson1, Uno Fors2, Jan Östergren1

  • 1Section of Internal Medicine and Functional Area Emergency Medicine, Department of Medicine, Karolinska University Hospital, Stockholm, Sweden.

JMIR Medical Education
|July 13, 2019
PubMed
Summary
This summary is machine-generated.

Medical students’ decisions to use web-based Electrocardiogram (ECG) learning resources depend on their perceived learning needs and goals. Understanding these self-regulated learning aspects can improve blended learning course design for ECG interpretation.

Keywords:
electrocardiogramlearningmedicalteaching

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Area of Science:

  • Medical Education
  • Digital Learning
  • Cardiology Training

Background:

  • Electrocardiogram (ECG) interpretation is a critical medical skill, yet students often struggle to achieve competence.
  • Web-based learning is effective, but its use in blended learning for ECG is understudied.

Purpose of the Study:

  • To investigate how medical students utilize web-based ECG learning resources in a blended learning context.
  • To explore the relationship between resource usage and study strategies.

Main Methods:

  • Mixed-methods approach using interviews and learning management system data.
  • 15 medical students were interviewed; usage data collected for all 33.
  • Correlated study strategies and usage patterns with examination scores.

Main Results:

  • Students' reasoning centered on assessing learning needs and aligning with goals.
  • Reasons for use included skill training and complementing traditional methods.
  • Key reasons for non-use were perceived existing competence and lack of awareness.
  • Usage varied significantly; no differences found in academic performance between users and non-users.

Conclusions:

  • Web-based ECG resource use is driven by self-regulated learning, clinical experience, and perceived needs.
  • Students' self-assessment of learning needs and examination requirements influenced their decisions.
  • Understanding student learning regulation and needs is vital for optimizing blended ECG learning environments.