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Using Learning Analytics to Evaluate the Clinical Education Podcast Format.

Lucas Horta1, Dave Ho1, K H Vincent Lau1

  • 1Department of Neurology, Boston University School of Medicine, 725 Albany Street, Floor 7, Boston, MA 02118 USA.

Medical Science Educator
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PubMed
Summary
This summary is machine-generated.

Clinical education podcasts show initial listener drop-off within the first 2.5 minutes. After this point, audience retention for these learning analytics tools stabilizes, suggesting potential for short-form content.

Keywords:
AttentionE-learningLearning analyticsPodcastTechnology

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Area of Science:

  • Medical Education
  • Digital Learning
  • Learning Analytics

Background:

  • Learning analytics is widely used in e-learning but has not been applied to clinical education podcasts.
  • Podcasts are an emerging medium for medical education delivery.

Purpose of the Study:

  • To evaluate listener engagement with clinical education podcasts using learning analytics.
  • To understand audience retention patterns in this specific educational format.

Main Methods:

  • A podcast series was created on the Anchor by Spotify platform, with episodes released bi-weekly starting March 30, 2021.
  • Analytics data, including total plays and audience retention, were examined up to a censoring date of November 1, 2022.

Main Results:

  • The study analyzed 29,747 total podcast plays.
  • Average audience retention decreased by 10% per minute until 2.5 minutes, after which it declined at a steadier rate of 1.8% per minute.
  • No specific attention limit was identified for short-form podcast episodes (maximum length 17 minutes).

Conclusions:

  • Clinical education podcasts exhibit an initial rapid decline in listener attention within the first 2.5 minutes.
  • Following this initial drop-off, retention rates stabilize, indicating that shorter podcast formats may be effective for sustained engagement.
  • Learning analytics provides valuable insights into the consumption of educational podcasts.