Multimodal learning suggests that when a number of our senses – visual, auditory, kinaesthetic – are being engaged during learning, we understand and remember more. By combining these modes, learners experience learning in a variety of ways to create a diverse learning style. For example, let’...
Kinesthetic learners prefer concrete experiences that connect the material to reality [2]. However, most medical students have a multimodal approach to learning. The Approaches and Study Skills Inventory for Students (ASSIST) aids in the understanding of students’ preference in adopting any or all ...
It establishes the Ripple model as a learner-centred, life-reconnected and inquiry-based approach to learning. The model is underpinned by the integrated system of five operational modes: self-reflection , collaboration , multimodal communication , distributed agency and DIY creativity . The students...
Multimodal Federated Learning is a collaborative training process involving multiple clients, each with diverse modality settings and data, conducting learning tasks without disclosing their local r…
2014. A multilingual and multimodal approach to literacy teaching and learning in urban education: A collaborative inquiry project in an inner city elementary... BY Ntelioglou,J Fannin,M Montanera,... - 《Frontiers in Psychology》 被引量: 17发表: 2014年 A multilingual and multimodal approach ...
To solveproblem 2: 提出了deep multimodal cooperative learning approach,能够清晰地区分不同模态之间的correlation。 3 数据收集与处理 3.1 数据收集 利用API从Vine平台收集了24000个包含Foursquare信息的微视频。 删除重复的场所ID之后,我们通过API抓取每个场所ID中的所有视频,进一步扩展了视频集,得到了276264个视频,分...
A multimodal deep learning approach for the prediction of cognitive decline and its effectiveness in clinical trials for Alzheimer's disease Alzheimer's disease is one of the most important health-care challenges in the world. For decades, numerous efforts have been made to develop therapeutics .....
A multimodal approach will help keep everyone engaged. Finally, multimodal learning allows people with challenges in one of their senses, like hearing or sight, to still be able to learn by using other senses for the training program. Improved retention We all know that hearing something twice ...
在这个工作中,作者提出multi-agent reinforcement learning method,用两个policy gradient agents(策略梯度智能体?)同时选择文本和图片,基于分类精度评估联合的作用。在合作设置下(cooperative settings),联合选择通常只生成全局奖励,从而难以确定每个选择器对group的贡献(就是难以判断图片和文本哪个更重要)。本文方法COMMA具有...
In this paper, we present a joint compression and classification approach of EEG and EMG signals using a deep learning approach. Specifically, we build our system based on the deep autoencoder architecture which is designed not only to extract discriminant features in the multimodal data representati...