Abstract:The COVID-19 pandemic led to the implementation of the Work From Home<strong> </strong>(WFH) policy. The impact of this policy is to replace the process of teaching and learning activities by using an online learning system. In this industrial era 4.0, the integration of web applications is very much needed in problem-solving learning. One that can be used to integrate web applications in learning through project-based learning. The focus of this research is to study the effects of online project-b… Show more
“…Antibody studies, on the other hand, use blood samples to determine the immunity induced by the previous infection. Antibody test kits look for proteins that the virus uses as "glue" to trap antibodies in the blood [30][31][32].…”
<p class="0abstract">Various mobile applications such as Mobile Health (mHealth) have been developed and spread across the world which has played an important role in mitigating the Coronavirus pandemic (COVID-19). As the COVID-19 pandemic spreads, several people have drawn parallels to influenza. While both viruses cause respiratory infections, they propagate in very different ways. This has a major impact on the public health measures that can be used to fight each virus. These viruses are pandemic-causing in the same way. That is, they both cause respiratory disease, and can present themselves in several ways, ranging from asymptomatic to severe and deadly. A proposal is presented in this paper that uses two algorithms to define and classify these pandemics, they are: The Back Propagation (BP) classification algorithm and the Fuzzy C-Mean (FCM) clustering algorithm. Two stages are implemented in the proposed system: in the first step, the FCM algorithm is used to find out the type of virus, and this algorithm is capable of handling ambiguous features of viruses. In the second step, a BP neural network is used as a classifier to detect the pandemic class. The proposed system was trained and tested using a well-known dataset (covid-19 vs influenza). Information Gain (IG) is used to optimize the related features that affect the classification process to improve speed and accuracy. The proposed mobile application is developed to support users easily detecting the COVID-19 infection by inputting the medical tests as significant features to the proposed system. The proposed system's accuracy is up to (89%), the framework was created using the Matlab programming environment and an Android Studio for Mobil application designing.</p>
“…Antibody studies, on the other hand, use blood samples to determine the immunity induced by the previous infection. Antibody test kits look for proteins that the virus uses as "glue" to trap antibodies in the blood [30][31][32].…”
<p class="0abstract">Various mobile applications such as Mobile Health (mHealth) have been developed and spread across the world which has played an important role in mitigating the Coronavirus pandemic (COVID-19). As the COVID-19 pandemic spreads, several people have drawn parallels to influenza. While both viruses cause respiratory infections, they propagate in very different ways. This has a major impact on the public health measures that can be used to fight each virus. These viruses are pandemic-causing in the same way. That is, they both cause respiratory disease, and can present themselves in several ways, ranging from asymptomatic to severe and deadly. A proposal is presented in this paper that uses two algorithms to define and classify these pandemics, they are: The Back Propagation (BP) classification algorithm and the Fuzzy C-Mean (FCM) clustering algorithm. Two stages are implemented in the proposed system: in the first step, the FCM algorithm is used to find out the type of virus, and this algorithm is capable of handling ambiguous features of viruses. In the second step, a BP neural network is used as a classifier to detect the pandemic class. The proposed system was trained and tested using a well-known dataset (covid-19 vs influenza). Information Gain (IG) is used to optimize the related features that affect the classification process to improve speed and accuracy. The proposed mobile application is developed to support users easily detecting the COVID-19 infection by inputting the medical tests as significant features to the proposed system. The proposed system's accuracy is up to (89%), the framework was created using the Matlab programming environment and an Android Studio for Mobil application designing.</p>
“…However, a study by [37,28] on the use of visual learning led to the development of a continuum of visual thinking, such that when students make use of and interact with the visual tools provided by a learning system, their visual thinking and learning skills increased profoundly from visual thinking to visual learning elements, and eventually to the highest element known as visual communication. Elements of visual thinking include use of pictures, colors, diagrams or other visual media as well as animation and simulation human utilize visual thinking to imagine or conceptualize problems, or rather visualize the reality within a certain boundary of limitation [3,28].…”
Section: Literature Reviewmentioning
confidence: 99%
“…The use of visuals from a computer logic perspective applied in this learning website is based on a proposal by [30]. According to [37,28] the continuous provision of visual materials for learning will promote students' better understanding of concepts. In addition, it helps to stimulate students' continuum development that improves from visual thinking to visual learning, and eventually to the highest-level i.e.…”
This paper explores the changes in student’s level of achievement and per-ception towards authentic learning environment based on visual thinking elements. The three elements in visual thinking continuum are visual thinking, visual learning and visual communication. This research is a quan-titative design involving quantitative and qualitative data. Research instru-ments included pre and post achievement tests, and a questionnaire on stu-dent’s perception towards visualization level. There are 29 samples students, from teacher training first degree program in one of Malaysian public univer-sities. The research data were analyzed by inferential and descriptive statisti-cal analysis. Research findings through paired-sample t-test showed that there is a significant difference between scores of mean for the pre-test and post-test (p< 0.05) and shows positive student’s perception towards authen-tic learning environment. All students have experienced positive growth in their level of visualization through authentic learning environment activities which based on visual thinking elements. Therefore, it can be concluded that the visual-based website has helped to enhance the students’ performance and visualization levels.
“…The Note which appeared on August 28, 2020, to organize teaching during the 2020-2021 school year, posed numerous challenges; At the time, it was necessary to fill the learning deficit of the previous year imposed by the Covid-19 and to optimize the learning time devoted to the students (who attended just half of the classroom sessions under normal teaching conditions) to complete the annual program on time. This required improved methods of learning in a short time and needed more commitment and technical-pedagogical skills of teachers to adopt teaching oriented towards the learner, thus promoting their participation in the construction of knowledge [64] as well as the involvement of all parties (ministry, parents of pupils, pupils, associations, etc. ).…”
<p><strong><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Abstrait-</span></span></strong></p><p class="0abstractCxSpFirst"><span lang="EN-US"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Ce travail vise à étudier comment une expérience de formation à distance de trois jours pour enseignants, programmée d'urgence, pour développer chez ces enseignants les capacités d'utilisation de la plateforme numérique, la création et la gestion de ressources numériques, ainsi que la création et la gestion d'un évaluation, afin qu'ils soient en mesure d'assurer correctement la continuité pédagogique. </span><span style="vertical-align: inherit;">La mise en place de ce mode de formation a été recommandée dans un état d'urgence en raison de la pandémie de Corona Virus qui a été connue dans le monde entier et qui a provoqué la fermeture des écoles, ce qui a forcé le passage du mode présentiel à l'enseignement à distance, au cours de l'année 2020. Cette formation à distance, qui concerne les enseignants des écoles, était nécessaire pour développer leurs capacités à utiliser ce nouveau mode d'enseignement.</span></span></span></p><p class="0abstractCxSpLast"><span lang="EN-US"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">A partir du cadre de l'évaluation de la formation professionnelle, et à travers les outils de collecte de données construits et utilisés dans cette recherche, les résultats montrent une certaine évolution dans les conceptions de ces enseignants pour revisiter les objectifs de cette formation par les enseignants-formateurs pour son déploiement éventuel.</span></span></span></p>
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