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

Q3 Multidisciplinary Acta Scientiae Pub Date : 2023-05-23 DOI:10.17648/acta.scientiae.6710
Rodrigo Rosalis, Samuel Rocha de Oliveira
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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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基于多媒体学习认知理论的动画内容学习证据
背景:考虑认知局限性对学习至关重要,因为它为开发成功促进和帮助学习过程的方法提供了补贴。目的:我们首先要问:“基于多媒体学习的认知理论开发的包含动画的视频课程在内容保留和迁移方面对学生的学习有积极影响吗?”我们试图基于数据分析来回答这个问题。设计:制作了四部包含两种不同内容叙述的动画,两部有认知过载,两部没有认知过载。研究小组采用了带有动画问题的表格来分析动画中关键内容的保留和转移。设置和参与者:本科生被分为两组,观看动画并回答研究问题。数据收集:在分析了参与者的答案后,我们计算了效果大小(Cohen的d)。结果:将内容的保留和转移测试与参与组之间的效果大小计算中获得的值进行比较。结论:遵循认知理论的动画对学习做出了积极贡献,与人们应该寻求理解和重视认知过程的论点相一致。
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来源期刊
Acta Scientiae
Acta Scientiae Multidisciplinary-Multidisciplinary
CiteScore
0.70
自引率
0.00%
发文量
43
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