Exploring the Relationships between Distractibility and Website Layout of Virtual Classroom Design with Visual Saliency

Author(s):  
Shanshan Chen ◽  
Xiaoli Wu ◽  
Yajun Li
2009 ◽  
Vol 4 (3) ◽  
pp. 17-22
Author(s):  
Ananthasayanam R. ◽  
◽  
Thanga Rajathi Sethurajan ◽  
B. Tamilselvi ◽  
◽  
...  
Keyword(s):  

2017 ◽  
Author(s):  
Nicholas Gmeiner

This project aims to provide students with disabilities the same in class learning experience through virtual reality technology, 360-degree video capture, and the use of Arduino units. These technologies will be combined to facilitate communication between teachers in physical classrooms with students in virtual classrooms. The goal is to provide a person who is affected by a disability (which makes it hard to be in a traditional classroom) the same benefits of a safe and interactive learning environment.


Edupedia ◽  
2020 ◽  
Vol 5 (1) ◽  
pp. 45-53
Author(s):  
Ilzam Dhaifi

The world has been surprised by the emergence of a COVID 19 pandemic, was born in China, and widespread to various countries in the world. In Indonesia, the government issued several policies to break the COVID 19 pandemic chain, which also triggered some pro-cons in the midst of society. One of the policies government takes is the closure of learning access directly at school and moving the learning process from physical class to a virtual classroom or known as online learning. In the economic sector also affects the parents’ financial ability to provide sufficient funds to support the implementation of distance learning applied by the government. The implications of the distance education policy are of course the quality of learning, including the subjects of Islamic religious education, which is essentially aimed at planting knowledge, skills, and religious consciousness to form the character of the students. Online education must certainly be precise, in order to provide equal education services to all students, prepare teachers to master the technology, and seek the core learning of Islamic religious education can still be done well.


Author(s):  
Oluyinka Titilope Afolayan

The availability and use of e-learning resources in the acquisition and transfer of knowledge have been observed as a steering agent that facilitates the realization of major educational benefits in a developing economy. This study investigated the availability, accessibility, and use of e-learning tools by undergraduate students in the University of Ilorin, Nigeria, including the challenges limiting the full exploitation of e-learning resources for optimal usage and efficient e-service delivery. The methodology adopted for this research was purely survey design using the questionnaire approach as the main instrument for data collection. From the findings, limited availability, accessibility and usage of e-learning resources by the undergraduate students were revealed. The findings further showed that the major challenges hindering the effective use of e-learning resources amongst University of Ilorin students include lack of sophisticated e-learning resources such as teleconferencing, video conferencing, virtual classroom among others and high cost in the procurement of facilities that support e-learning. Based on these findings, recommendations are made towards addressing the challenges encountered by students in the utilization of e-learning resources in higher institutions of learning.


2021 ◽  
Vol 11 (16) ◽  
pp. 7217
Author(s):  
Cristina Luna-Jiménez ◽  
Jorge Cristóbal-Martín ◽  
Ricardo Kleinlein ◽  
Manuel Gil-Martín ◽  
José M. Moya ◽  
...  

Spatial Transformer Networks are considered a powerful algorithm to learn the main areas of an image, but still, they could be more efficient by receiving images with embedded expert knowledge. This paper aims to improve the performance of conventional Spatial Transformers when applied to Facial Expression Recognition. Based on the Spatial Transformers’ capacity of spatial manipulation within networks, we propose different extensions to these models where effective attentional regions are captured employing facial landmarks or facial visual saliency maps. This specific attentional information is then hardcoded to guide the Spatial Transformers to learn the spatial transformations that best fit the proposed regions for better recognition results. For this study, we use two datasets: AffectNet and FER-2013. For AffectNet, we achieve a 0.35% point absolute improvement relative to the traditional Spatial Transformer, whereas for FER-2013, our solution gets an increase of 1.49% when models are fine-tuned with the Affectnet pre-trained weights.


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