Listen closely: Prosodic signals in podcast support learning

IF 8.9 1区 教育学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Education Pub Date : 2024-04-09 DOI:10.1016/j.compedu.2024.105051
Juliette C. Désiron, Sascha Schneider
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Abstract

Based on the assumptions of Cognitive Load Theory and its derived signaling principle, previous research on instructional material has mainly investigated the effect of including visual cues to support the processing and integration of information. In the context of the renewed interest in commented videos and podcasts as instructional materials, the present study investigates the influence of prosodic signals on learning with digital media. An online experiment was conducted with 102 German students using an audio podcast as digital learning material. The audio recording was varied following the prosody of human language in terms of a 2 (volume: regular vs. higher) × 2 (pace: regular vs. slower) between-subject design to examine signaling key concepts. The results showed a positive effect of both prosodic cues manipulations (main effects) on learning outcomes and the most substantial impact when cumulated. This aligns with previous research on visual cues and thus extends findings on the signaling effect to the auditory modality. However, the picture is not so clear-cut. Indeed, higher learning outcome was also associated with higher mental effort and load with higher volume and no difference in effort but a lower load for a slower pace. Further, the presence of signals was also paired with an underestimation of learning. Overall, this could indicate a difficulty in processing the prosodic cues and integrating the signaled elements in the mental model, with an unknown effect on longer-term learning. Future research could further investigate additional possibilities of prosody (e.g., neutral vs. euphoric tone) as prosodic cues and characteristics linked to the speaker (e.g., age, gender) in podcasts and multimedia documents.

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仔细听播客中的拟声信号有助于学习
基于认知负荷理论的假设及其衍生的信号原理,以往有关教学材料的研究主要调查了包含视觉线索以支持信息处理和整合的效果。在评论视频和播客作为教学材料再次受到关注的背景下,本研究调查了前音信号对数字媒体学习的影响。102 名德国学生使用音频播客作为数字学习材料进行了在线实验。实验采用 2(音量:正常与较高)×2(节奏:正常与较慢)的受试者间设计,根据人类语言的前音对音频录音进行了改变,以考察信号关键概念。结果表明,两种前音线索操作(主效应)对学习结果都有积极影响,累积起来影响最大。这与之前关于视觉线索的研究结果一致,从而将信号效应的研究结果扩展到了听觉模式。然而,情况并非如此一目了然。事实上,较高的学习成绩也与较高的脑力劳动和负荷有关,音量越大,脑力劳动和负荷越高,而速度越慢,脑力劳动和负荷越低。此外,信号的存在也与低估学习效果有关。总之,这可能表明在处理前音线索和将信号元素整合到心理模型中时存在困难,对长期学习的影响尚不清楚。未来的研究可以进一步调查播客和多媒体文件中作为前音线索的前音(如中性音调与亢奋音调)和与说话者相关的特征(如年龄、性别)的其他可能性。
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来源期刊
Computers & Education
Computers & Education 工程技术-计算机:跨学科应用
CiteScore
27.10
自引率
5.80%
发文量
204
审稿时长
42 days
期刊介绍: Computers & Education seeks to advance understanding of how digital technology can improve education by publishing high-quality research that expands both theory and practice. The journal welcomes research papers exploring the pedagogical applications of digital technology, with a focus broad enough to appeal to the wider education community.
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