(2013). Multimodal assessment of and for learning: A theory-driven design rubric. British Journal of Educational Technology, 44(3), 400-409.Hung, H.-T., Chiu, Y.-C., & Yeh, H.-C. (2013). Multimodal assessment of and for learning: A theory- driven design rubric. British Journal ...
the two linked questions are becoming insistently urgent: 'How do we assess learning expressed in multimodal texts, objects and processes?' and 'What theories are needed to deal with assessment in this environment?' The framework proposed here is that of a social semiotic theory of multimodality....
It is innovative and original in that it expands multimodal theory with respect to technology-mediated learning and establishes robust multimodal research methods and analytical procedures. For instance, the application of concepts of multimodality to examine new modal forms – such as hyperlinks, layout...
Awesome_Multimodel is a curated GitHub repository that provides a comprehensive collection of resources for Multimodal Large Language Models (MLLM). It covers datasets, tuning techniques, in-context learning, visual reasoning, foundational models, and mo
Several studies have developed multimodal DNN approaches to provide comprehensive insight into the disease progression [22,23,24,25]. While such studies have achieved convincing results, it is worth noting that, in theory, DNNs exhibit suboptimal performance when dealing with inputs that contain ...
Educators implementing multimodal education generally base their approach on semiotics. Within semiotics, the concept of text can be understood as including different modes of communication besides mere writing (Barthes 1977). As Crafton, Silvers, and Brennan (2009, 33) note: Semiotic theory expands ...
The results for cognitive load, training time, and learning effects initially supported dual coding theory. The results show that even in this complex situation, multimodal instruction led to a better performance than unimodal instruction. That is, the multimodal manual led to a stronger mental ...
多模态学习分析(Multimodal Learning Analytics,MMLA)就是学习分析在当前技术环境下的新发展[4][5],它使用来自物理空间和数字空间的各种数据形式,采用不同的分析方法来处理动态产生多模态数据,并利用学习情境中的行为、情感、认知等相关理论,来...
Multiview machine learning:another term for multimodal machine learning. Data fusion:the specific methodologies undertaken to perform data integration for multimodal/multiview machine learning; they come in three broad categories: early, intermediate/joint, and late. ...
This study investigates how a multimodal writing lesson was received by 13 to 14-year-olds in a science class. The research addresses the following research questions (i) how does a lesson on multimodal writing effect students' text production and use of alternative modes of representation in a...