Results 11 to 20 of about 8,339 (216)

Multimodal and Perceptual Learning Styles: Their Effect on Students’ Motivation in a Digital Environment

The EUROCALL Review, 2020
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, Noelia Gargallo-Camarillas   +1 more
doaj   +1 more source

Multimodal Project-Based Learning in listening and speaking activities: Building environmental care?

Edulite: Journal of English Education, Literature, and Culture, 2022
This Participatory Action Research (PAR) aims to describe how the enactment of Multimodal Project-Based Learning of Green Listening is in Extensive Listening and Speaking class of English Language Education Department, UIN Walisongo, how Multimodal ...
Lulut Widyaningrum, Daviq Rizal, Agus Prayogo   +2 more
doaj   +1 more source

Multimodal sequence learning

Acta Psychologica, 2016
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   +2 more sources

Learning Multimodal Dictionaries [PDF]

IEEE Transactions on Image Processing, 2007
Real-world phenomena involve complex interactions between multiple signal modalities. As a consequence, humans are used to integrate at each instant perceptions from all their senses in order to enrich their understanding of the surrounding world.
Monaci, Gianluca, Jost, Philippe, Vandergheynst, Pierre, Mailhé, Boris, Lesage, Sylvain, Gribonval, Rémi   +5 more
openaire   +2 more sources

Multiple Negative Emotions During Learning With Digital Learning Environments – Evidence on Their Detrimental Effect on Learning From Two Methodological Approaches

Frontiers in Psychology, 2019
Emotions are a core factor of learning. Studies have shown that multiple emotions are co-experienced during learning and have a significant impact on learning outcomes.
Franz Wortha, Franz Wortha, Roger Azevedo, Michelle Taub, Susanne Narciss   +4 more
doaj   +1 more source

Multimodal learning of pheromone locations [PDF]

The FASEB Journal, 2019
Abstract Memorizing pheromonal locations is critical for many mammalian species as it involves finding mates and avoiding competitors. In rodents, pheromonal information is perceived by the main and accessory olfactory systems. However, the role of somatosensation in context‐dependent learning and memorizing of pheromone locations ...
Meenakshi Pardasani, Shruti D. Marathe, Maitreyee Mandar Purnapatre, Urvashi Dalvi, Nixon M. Abraham   +4 more
openaire   +3 more sources

Ikke skrivekyndig?

Educare, 2022
Global expansion of smartphone use has made the production of visual texts easy and accessible. This article explores six adult immigrant students’ multimodal text production in everyday and learning situations.
Mia Franzisca Fasting
doaj   +1 more source

Reducing Annotation Burden Through Multimodal Learning

Frontiers in Big Data, 2020
Choosing an optimal data fusion technique is essential when performing machine learning with multimodal data. In this study, we examined deep learning-based multimodal fusion techniques for the combined classification of radiological images and ...
Kevin Lopez, Samah J. Fodeh, Ahmed Allam, Cynthia A. Brandt, Cynthia A. Brandt, Michael Krauthammer   +5 more
doaj   +1 more source

Attention-Based Multimodal Deep Learning on Vision-Language Data: Models, Datasets, Tasks, Evaluation Metrics and Applications

IEEE Access, 2023
Multimodal learning has gained immense popularity due to the explosive growth in the volume of image and textual data in various domains. Vision-language heterogeneous multimodal data has been utilized to solve a variety of tasks including classification,
Priyankar Bose, Pratip Rana, Preetam Ghosh   +2 more
doaj   +1 more source

Robust Multimodal Dictionary Learning [PDF]

, 2013
We propose a robust multimodal dictionary learning method for multimodal images. Joint dictionary learning for both modalities may be impaired by lack of correspondence between image modalities in training data, for example due to areas of low quality in one of the modalities.
Tian, Cao, Vladimir, Jojic, Shannon, Modla, Debbie, Powell, Kirk, Czymmek, Marc, Niethammer   +5 more
openaire   +2 more sources