算法可视化和难以捉摸的模态效应

Albina Zavgorodniaia, Artturi Tilanterä, A. Korhonen, O. Seppälä, Arto Hellas, Juha Sorva
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引用次数: 4

摘要

多媒体学习中的模态效应表明,图片最好配以音频解说,而不是文字解说,但这一发现并未在计算机教育中得到证实。我们调查哪种教学方式作为算法可视化的伴奏效果最好。在一项随机对照试验中,学习者被分成三组,他们观看了Dijkstra算法上的教学视频,视频中有音频、文本或图表,两者兼而有之。我们既没有发现有利于音频条件的情态效应,也没有发现有利于只使用单一情态而不是两者都使用的言语冗余效应。结合早期的研究,我们的发现表明,模态效应很难可靠地应用,计算机教育者不应该急于将音频整合到可视化中,以期望效果。讨论了未来研究应关注的理论观点;其中包括对模态效应的部分解释和基于注意的工作记忆模型等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithm Visualization and the Elusive Modality Effect
The modality effect in multimedia learning suggests that pictures are best accompanied by audio explanations rather than text, but this finding has not been replicated in computing education. We investigate which instructional modality works best as an accompaniment for algorithm visualizations. In a randomized controlled trial, learners were split into three conditions who viewed an instructional video on Dijkstra’s algorithm, with diagrams accompanied by audio, text, or both. We find neither a modality effect in favor of the audio condition nor a verbal redundancy effect in favor of using only a single modality rather than both. Taken together with earlier research, our findings suggest that the modality effect is difficult to apply reliably and computing educators should not rush to integrate audio into visualizations in expectation of the effect. We discuss theoretical viewpoints that future research should attend to; these include alternative part-explanations of the modality effect and attention-based models of working memory, among others.
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