Importance Of Multimodality Research Articles

Improving EFL students’ multimodal literacy through infographics

Abstract Given the importance of multimodality in the twenty-first century and its relevance to second language acquisition, this study aimed to assess the impact of a multimodal literacy intervention on the reading comprehension of authentic multimodal texts. The participants were EFL students enrolled in a college undergraduate translation and interpretation programme, who were divided into two groups: one serving as the control group and the other as the intervention one. The intervention, based on established multimodal instruction frameworks, utilized five handouts and lasted seven weeks. Before and after the intervention a test assessing participants’ reading comprehension was administered. The results indicated a significant increase in reading scores for both groups; however, the intervention group exhibited a more substantial improvement. Additionally, the qualitative data analysis showed that students in the intervention group valued learning about concepts related to multimodality and thought that learning about multimodality helped them become better translators.

Značaj multimodalnosti u onlajn nastavi srpskog kao stranog jezika

Today's foreign language teaching increasingly involves the daily use of new technologies and the development of digital literacy of both teachers and students. With the goal of realizing pedagogical work in a digital environment, there are also needs for new approaches and learning. In this regard, among modern approaches, multimodality and the use of modes in the creation of teaching materials stand out. Namely, multimodality is a phenomenon of communication that includes semiotic resources or modes such as text, photos, videos, audio recordings, graphs, colors, illustrations, gestures. Bearing in mind what multimodality in teaching entails, it is not surprising that some teachers choose active and creative use of modes when create didactic materials in a digital environment. Despite the fact that the topic of teaching Serbian as a foreign language is becoming more prevalent, both in practice and in scientific literature, the need for teaching materials in a virtual environment is still present. Therefore, some authors, more precisely, teachers of the Serbian language as a foreign language, who choose an online environment for their teaching work, happily decide to use numerous modes in creating online language courses because they make teaching interesting and visually attractive for members of another nation. For this reason, the goal of this paper is to point out the existence and importance of multimodality and modes in online teaching of Serbian as a foreign language, based on the collected scientific works that deal with the mentioned topic.

Multimodal urban mobility and multilayer transport networks

Transportation networks, from bicycle paths to buses and railways, are the backbone of urban mobility. In large metropolitan areas, the integration of different transport modes has become crucial to guarantee the fast and sustainable flow of people. Using a network science approach, multimodal transport systems can be described as multilayer networks, where the networks associated to different transport modes are not considered in isolation, but as a set of interconnected layers. Despite the importance of multimodality in modern cities, a unified view of the topic is currently missing. Here, we provide a comprehensive overview of the emerging research areas of multilayer transport networks and multimodal urban mobility, focusing on contributions from the interdisciplinary fields of complex systems, urban data science, and science of cities. First, we present an introduction to the mathematical framework of multilayer networks. We apply it to survey models of multimodal infrastructures, as well as measures used for quantifying multimodality, and related empirical findings. We review modeling approaches and observational evidence in multimodal mobility and public transport system dynamics, focusing on integrated real-world mobility patterns, where individuals navigate urban systems using different transport modes. We then provide a survey of freely available datasets on multimodal infrastructure and mobility, and a list of open-source tools for their analyses. Finally, we conclude with an outlook on open research questions and promising directions for future research.

Deep neural networks for multimodal data fusion and affect recognition

This paper proposes novel deep neural network models to handle multimodal data. The proposed models seamlessly facilitate fusion of multimodal inputs and bring about dimensional reduction of the input feature space. The architecture employs multimodal stacked autoencoder in conjunction with multi-layer perceptron-based regression model. Two variants of the architecture are proposed. Experiments have been performed on the multimodal benchmark dataset (RECOLA) to illustrate the importance of multimodality for affect recognition. The proposed architectures are trained using effective training strategies, specifically designed to reduce the number of tuneable parameters for multimodal applications. The results obtained are encouraging and the proposed approach is computationally less expensive than the existing approaches. The performance is better or at par with the other techniques.

1103 近似的設計点を用いた多峰性重点サンプリング法による構造信頼性解析法 : 条件付期待値原理に基づく破損確率の推定法(GS-3 強度評価)

1103 近似的設計点を用いた多峰性重点サンプリング法による構造信頼性解析法 : 条件付期待値原理に基づく破損確率の推定法(GS-3 強度評価)