Keywords
Short videos, instructional videos, multimedia learning, foreign language, Portuguese, TikTok
Abstract
In recent years, short videos have proliferated on various social media platforms, serving as a visual resource with a long history of use for various educational purposes, including foreign language learning (FLL). Despite the growing interest in the use of such platforms for short video learning, little is currently known about the use of these platforms for FLL, highlighting the need to validate these learning resources within a theoretical framework. In this context, this article analyses 34 short videos for Portuguese language learning on TikTok using an adaptation of the principles of multimedia learning proposed by Mayer. It then analyses the relation between the number of principles and each cognitive processing dimension, and the number of views and likes. Results show the adapted principles are suitable for the analysis of short videos for FLL and reveal the most prevalent one is the principle of signalling. Furthermore, the article demonstrates that the more principles a video addresses, the more likes it receives, and that the fostering generative processing dimension plays an important role in this mediation. Overall, the article illustrates the practical application of online short videos as a targeted resource for facilitating FLL and streamlines the development of instructional design strategies for short videos in the context of online FLL.
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Technical information
Received: 28-02-2023
Revised: 16-03-2023
Accepted: 02-05-2023
OnlineFirst: 30-06-2023
Publication date: 01-10-2023
Article revision time: 16 days | Average time revision issue 77: 32 days
Article acceptance time: 63 days | Average time of acceptance issue 77: 76 days
Preprint editing time: 170 days | Average editing time preprint issue 77: 183 days
Article editing time: 215 days | Average editing time issue 77: 228 days
Metrics
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Views: 97731
Abstract readings: 95037
PDF downloads: 2694
Full metrics of Comunicar 77
Views: 1097783
Abstract readings: 1065637
PDF downloads: 32146
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Yidi Zhang, University of Aveiro (Portugal)
