Institution
Open University of Catalonia
Education•Barcelona, Spain•
About: Open University of Catalonia is a education organization based out in Barcelona, Spain. It is known for research contribution in the topics: Collaborative learning & Educational technology. The organization has 1943 authors who have published 4646 publications receiving 64200 citations. The organization is also known as: Universitat Oberta de Catalunya & UOC.
Papers published on a yearly basis
Papers
More filters
••
07 Jul 2020
TL;DR: In this paper, the Covid-19 pandemic has raised significant challenges for the higher education community worldwide and a particular challenge has been the urgent and unexpected request for previously face-to-face university courses to be taught online.
Abstract: The Covid-19 pandemic has raised significant challenges for the higher education community worldwide. A particular challenge has been the urgent and unexpected request for previously face-to-face university courses to be taught online. Online teaching and learning imply a certain pedagogical content knowledge (PCK), mainly related to designing and organising for better learning experiences and creating distinctive learning environments, with the help of digital technologies. With this article, we provide some expert insights into this online-learning-related PCK, with the goal of helping non-expert university teachers (i.e. those who have little experience with online learning) to navigate in these challenging times. Our findings point at the design of learning activities with certain characteristics, the combination of three types of presence (social, cognitive and facilitatory) and the need for adapting assessment to the new learning requirements. We end with a reflection on how responding to a crisis (as best we can) may precipitate enhanced teaching and learning practices in the postdigital era.
986 citations
••
TL;DR: The studies show that the Internet is used for connectivity locally as well as globally, although the nature of its use varies in different countries, and Internet use is adding on to other forms of communication, rather than replacing them.
Abstract: We review the evidence from a number of surveys in which our NetLab has been involved about the extent to which the Internet is transforming or enhancing community. The studies show that the Internet is used for connectivity locally as well as globally, although the nature of its use varies in different countries. Internet use is adding on to other forms of communication, rather than replacing them. Internet use is reinforcing the pre-existing turn to societies in the developed world that are organized around networked individualism rather than group or local solidarities. The result has important implications for civic involvement.
739 citations
••
TL;DR: This paper proposes the use of deep learning approaches for breast ultrasound lesion detection and investigates three different methods: a Patch-based LeNet, a U-Net, and a transfer learning approach with a pretrained FCN-AlexNet.
Abstract: Breast lesion detection using ultrasound imaging is considered an important step of computer-aided diagnosis systems. Over the past decade, researchers have demonstrated the possibilities to automate the initial lesion detection. However, the lack of a common dataset impedes research when comparing the performance of such algorithms. This paper proposes the use of deep learning approaches for breast ultrasound lesion detection and investigates three different methods: a Patch-based LeNet, a U-Net, and a transfer learning approach with a pretrained FCN-AlexNet. Their performance is compared against four state-of-the-art lesion detection algorithms (i.e., Radial Gradient Index, Multifractal Filtering, Rule-based Region Ranking, and Deformable Part Models). In addition, this paper compares and contrasts two conventional ultrasound image datasets acquired from two different ultrasound systems. Dataset A comprises 306 (60 malignant and 246 benign) images and Dataset B comprises 163 (53 malignant and 110 benign) images. To overcome the lack of public datasets in this domain, Dataset B will be made available for research purposes. The results demonstrate an overall improvement by the deep learning approaches when assessed on both datasets in terms of True Positive Fraction, False Positives per image, and F-measure.
564 citations
••
Anadolu University1, International Christian University2, Deakin University3, Princess Nora bint Abdul Rahman University4, University of the Republic5, National Scientific and Technical Research Council6, American University in Cairo7, Far Eastern University8, University of South Africa9, University of Minnesota10, Open University of Catalonia11, Aristotle University of Thessaloniki12, Lille University of Science and Technology13, Dublin City University14, Oklahoma State University–Stillwater15, Monterrey Institute of Technology and Higher Education16, University College London17, University of Béjaïa18, University of Victoria19, Ambedkar University Delhi20, University of Cambridge21, Fontys University of Applied Sciences22, National University of the Littoral23, University of Perpignan24, École Polytechnique25
TL;DR: In this paper, the authors present a collaborative reaction that narrates the overall view, reflections from the K-12 and higher educational landscape, lessons learned and suggestions from a total of 31 countries across the world with a representation of 62,7% of the whole world population.
Abstract: Uncertain times require prompt reflexes to survive and this study is a collaborative reflex to better understand uncertainty and navigate through it. The Coronavirus (Covid-19) pandemic hit hard and interrupted many dimensions of our lives, particularly education. As a response to interruption of education due to the Covid-19 pandemic, this study is a collaborative reaction that narrates the overall view, reflections from the K-12 and higher educational landscape, lessons learned and suggestions from a total of 31 countries across the world with a representation of 62,7% of the whole world population. In addition to the value of each case by country, the synthesis of this research suggests that the current practices can be defined as emergency remote education and this practice is different from planned practices such as distance education, online learning or other derivations. Above all, this study points out how social injustice, inequity and the digital divide have been exacerbated during the pandemic and need unique and targeted measures if they are to be addressed. While there are support communities and mechanisms, parents are overburdened between regular daily/professional duties and emerging educational roles, and all parties are experiencing trauma, psychological pressure and anxiety to various degrees, which necessitates a pedagogy of care, affection and empathy. In terms of educational processes, the interruption of education signifies the importance of openness in education and highlights issues that should be taken into consideration such as using alternative assessment and evaluation methods as well as concerns about surveillance, ethics, and data privacy resulting from nearly exclusive dependency on online solutions.
452 citations
••
TL;DR: An international project, based on the participation of experts around the world, was undertaken to agree on a definition of e-learning, which has resulted in an inclusive definition subject to a high degree of consensus that will provide a useful conceptual framework to further identify the different models in which e- learning is developed and practiced.
Abstract: E-learning is part of the new dynamic that characterises educational systems at the start of the 21st century. Like society, the concept of e-learning is subject to constant change. In addition, it is difficult to come up with a single definition of e-learning that would be accepted by the majority of the scientific community. The different understandings of e-learning are conditioned by particular professional approaches and interests. An international project, based on the participation of experts around the world, was undertaken to agree on a definition of e-learning. To this end, two main research activities were carried out. First, an extensive review was conducted of the literature on the concept of e-learning, drawing from peer-reviewed journals, specialised web pages, and books. Second, a Delphi survey was sent out to gather the opinions of recognised experts in the field of education and technology regarding the concept of e-learning with a view to reaching a final consensus. This paper presents the outcomes of the project, which has resulted in an inclusive definition of e-learning subject to a high degree of consensus that will provide a useful conceptual framework to further identify the different models in which e-learning is developed and practiced.
411 citations
Authors
Showing all 2008 results
Name | H-index | Papers | Citations |
---|---|---|---|
Andrea Saltelli | 65 | 184 | 31540 |
Jose A. Rodriguez | 63 | 597 | 17218 |
Cristina Botella | 55 | 404 | 13075 |
Fatos Xhafa | 52 | 692 | 10379 |
Jaime Kulisevsky | 48 | 210 | 15066 |
William H. Dutton | 43 | 277 | 7048 |
Angel A. Juan | 41 | 284 | 5040 |
Aditya Khosla | 39 | 61 | 50417 |
Jordi Cabot | 38 | 106 | 5022 |
Jordi Cortadella | 38 | 226 | 5736 |
Antoni Valero-Cabré | 37 | 99 | 6091 |
Berta Pascual-Sedano | 34 | 87 | 4377 |
Josep Lladós | 33 | 271 | 4243 |
Carlo Gelmetti | 33 | 159 | 3912 |
Juan V. Luciano | 33 | 106 | 2931 |