Analyzing the Effectiveness of Content Acquisition Podcasts: A Meta-Analysis

Content Acquisition Podcasts (CAPs) are multimedia-based instructional tools designed to support K-12 students and educators. This meta-analysis synthesized findings from 29 studies to examine the overall effects of CAPs on learning outcomes, including declarative content knowledge, application of knowledge, and maintenance of learned material. Eligible studies included multi-group pretest-posttest designs with sufficient data to calculate effect sizes. A total of 99 effect sizes were extracted and analyzed using a random-effects model, with moderator analyses conducted on CAP type and participant population. Results indicated consistently robust and statistically significant effects for all three outcome types (declarative content knowledge: g = 0.82; application: g = 0.82; maintenance: g = 0.86). Moderator analyses, conducted on declarative content knowledge, indicated no significant moderation by CAP type or participant population. These findings suggest that CAPs consistently produce strong effects and may serve as an effective and adaptable instructional tool across a range of educational settings.

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Publication Details

Journal
Journal of Special Education Technology
Published
2025-12-08
DOI
https://doi.org/10.1177/01626434251405184
Primary Topic
Innovations in Educational Methods
Type
article
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article

Analyzing the Effectiveness of Content Acquisition Podcasts: A Meta-Analysis

Jesse Irvan Fleming, William J. Therrien, Lysandra Cook, Danielle A. Waterfield et al.
Journal of Special Education Technology
Innovations in Educational Methods
article

Analyzing the Effectiveness of Content Acquisition Podcasts: A Meta-Analysis

Jesse Irvan Fleming, William J. Therrien, Lysandra Cook, Danielle A. Waterfield, Nathan P. Welker, Suzanne McClain, Francis Corr
article en

Abstract

Content Acquisition Podcasts (CAPs) are multimedia-based instructional tools designed to support K-12 students and educators. This meta-analysis synthesized findings from 29 studies to examine the overall effects of CAPs on learning outcomes, including declarative content knowledge, application of knowledge, and maintenance of learned material. Eligible studies included multi-group pretest-posttest designs with sufficient data to calculate effect sizes. A total of 99 effect sizes were extracted and analyzed using a random-effects model, with moderator analyses conducted on CAP type and participant population. Results indicated consistently robust and statistically significant effects for all three outcome types (declarative content knowledge: g = 0.82; application: g = 0.82; maintenance: g = 0.86). Moderator analyses, conducted on declarative content knowledge, indicated no significant moderation by CAP type or participant population. These findings suggest that CAPs consistently produce strong effects and may serve as an effective and adaptable instructional tool across a range of educational settings.

Journal of Special Education Technology
Institute for Learning Innovation (US), University of Virginia (US)
Openalex Percentile: Top 60%
Innovations in Educational Methods
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