Is a picture worth a thousand words A computational investigation of the modality effect

IF 1.4 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal of Computational Science and Engineering Pub Date : 2019-07-26 DOI:10.1504/IJCSE.2019.10022733
N. A. Madi, J. Khan
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Abstract

The modality effect is a term that refers to differences in learning performance in relation to the mode of presentation. It is an interesting phenomenon that impacts education, online-learning, and marketing among many other areas of life. In this study, we use electroencephalography (EEG alpha, beta, and theta) and computational modelling of comprehension to study the modality effect in text and multimedia. First, we provide a framework for evaluating learning performance, working-memory, and emotions during learning. Second, we apply these tools to investigate the modality effect computationally focusing on text in contrast to multimedia. This study is based on a dataset that we have collected through a human experiment involving 16 participants. Our results are important for future learning systems that incorporate learning performance, working-memory, and emotions in a continuous feedback system that measures and optimises learning during learning and not after.
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一图胜千言?对模态效应的计算研究
模态效应是一个术语,指的是与呈现方式有关的学习表现差异。这是一个有趣的现象,它影响着教育、在线学习和营销以及生活的许多其他领域。在这项研究中,我们使用脑电图(脑电图α, β和θ)和理解计算模型来研究文本和多媒体中的模态效应。首先,我们提供了一个评估学习表现、工作记忆和学习期间情绪的框架。其次,我们应用这些工具来研究与多媒体相比,以文本为中心的计算模态效应。这项研究是基于我们通过一个涉及16名参与者的人体实验收集的数据集。我们的研究结果对未来的学习系统很重要,这些系统将学习表现、工作记忆和情绪整合到一个持续的反馈系统中,在学习过程中而不是在学习之后测量和优化学习。
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来源期刊
International Journal of Computational Science and Engineering
International Journal of Computational Science and Engineering COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
4.00
自引率
40.00%
发文量
73
期刊介绍: Computational science and engineering is an emerging and promising discipline in shaping future research and development activities in both academia and industry, in fields ranging from engineering, science, finance, and economics, to arts and humanities. New challenges arise in the modelling of complex systems, sophisticated algorithms, advanced scientific and engineering computing and associated (multidisciplinary) problem-solving environments. Because the solution of large and complex problems must cope with tight timing schedules, powerful algorithms and computational techniques, are inevitable. IJCSE addresses the state of the art of all aspects of computational science and engineering with emphasis on computational methods and techniques for science and engineering applications.
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