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Multimodal sequence learning [PDF]
While sequence learning research models complex phenomena, previous studies have mostly focused on unimodal sequences. The goal of the current experiment is to put implicit sequence learning into a multimodal context: to test whether it can operate across different modalities.
Ferenc Kemény, Beat Meier
openaire +4 more sources
The evidence of impact and ethical considerations of Multimodal Learning Analytics: A Systematic Literature Review [PDF]
There is a growing interest in the research and use of multimodal data in learning analytics. This paper presents a systematic literature review of multimodal learning analytics (MMLA) research to assess (i) the available evidence of impact on learning ...
Cukurova, Mutlu +3 more
core +1 more source
On Robustness in Multimodal Learning
Multimodal learning is defined as learning over multiple heterogeneous input modalities such as video, audio, and text. In this work, we are concerned with understanding how models behave as the type of modalities differ between training and deployment, a situation that naturally arises in many applications of multimodal learning to hardware platforms.
Brandon McKinzie +5 more
openaire +2 more sources
Self-directed multimodal learning in higher education [PDF]
This book aims to provide an overview of theoretical and practical considerations in terms of self-directed multimodal learning within the university context.
Bailey, Roxanne +9 more
core +3 more sources
MULTIMODAL MODEL MELALUI E-LEARNING PADA MATA KULIAH GEOMETRI BIDANG DI MASA PANDEMI COVID 19
Pada masa pandemi covid 19 pembelajaran dilaksanakan secara online dengan memanfaatkan e-learning. Multimodal model merupakan komponen pokok dalam pembelajaran online, yang meliputi konten, sosial emosional, tanya jawab, refleksi dan evaluasi. Penelitian
Titin Masfingatin +4 more
doaj +1 more source
Mobile Augmented Reality Based on Multimodal Inputs for Experiential Learning
The power of mobile devices has been harnessed as a platform for augmented reality (AR) that has embarked on opportunities to combine more inputs called multimodal inputs.
Nurhazarifah Che Hashim +4 more
doaj +1 more source
Deep Vision Multimodal Learning: Methodology, Benchmark, and Trend
Deep vision multimodal learning aims at combining deep visual representation learning with other modalities, such as text, sound, and data collected from other sensors.
Wenhao Chai, Gaoang Wang
doaj +1 more source
Insular cortex is a core hub involved in multiple cognitive and socio-affective processes. Yet, the anatomical mechanisms that explain how it is involved in such a diverse array of functions remain incompletely understood.
Jessica Royer +11 more
doaj +1 more source
Research trends in multimodal learning analytics: A systematic mapping study
Understanding and improving education are critical goals of learning analytics. However, learning is not always mediated or aided by a digital system that can capture digital traces.
Hamza Ouhaichi +2 more
doaj +1 more source
The advent of various interactive multimedia networks in the English for Specific Purposes (ESP) classroom (Grabe & Grabe, 2007) has led to the emergence of new learning methodologies (Ming-Hung et al., 2017).
Carolina Girón-García +1 more
doaj +1 more source

