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Acta Scientiae
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Evidence of Content Learning Through Animations Developed Based on the Cognitive Theory of Multimedia Learning

Authors: Rodrigo Rosalis; Samuel Rocha De Oliveira;

Evidence of Content Learning Through Animations Developed Based on the Cognitive Theory of Multimedia Learning

Abstract

Background: Considering cognitive limitations is essential for learning, as it provides subsidies for developing methodologies that successfully facilitate and help the learning process. Objective: We start our research by asking: “Does a video lesson containing an animation developed based on the cognitive theory of multimedia learning promote positive effects on student learning in terms of content retention and transfer?” seeking to answer it based on data analysis. Design: Four animations containing the narration of two different contents were produced, two with and two without cognitive overload. The research team employed forms with questions about the animations to analyse the retention and transfer of the critical content to be learned in the animations. Setting and Participants: Undergraduate students were divided into two groups to watch the animations and answer the research questions. Data collection: After analysing the participants’ answers, we calculated the effect size (Cohen’s d). Results: The tests of retention and transfer of content were compared with the values obtained in the calculus of the effect size between the participating groups. Conclusions: The animations that followed the cognitive theory positively contributed to learning, collaborating with the thesis that one should seek to understand and regard cognitive processing.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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