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Hype Cycle for Emerging Technologies Apprentissage des langues et Réseaux Médias Sociaux - Language learning and social networks Les réseaux sociaux peuvent jouer un rôle décisif dans le domaine de l’enseignement d'une langue étrangère, car ils favorisent la communication réelle, le travail collaboratif entre apprenants, entre classes et entre enseignants , ainsi que le développement des échanges et contacts interculturels. "Members of online communities learn by making and developing connections (intentionally or not) between ideas, experiences, and information, and by interacting,sharing, understanding, accepting, commenting, creating and defending their own opinions, their view points, their current situations and their daily experiences. Online communities allow, form, guide, foster, and stimulate connections. RESSOURCES - Studies Pedagogical Innovation in New Learning Communities: An In-depth Study of Twelve Online Learning Communities. Learning in Informal Online Networks and Communities - K. Réseaux sociaux et Apprentissage des langues Lévy, P.

La technologie peut-elle éliminer la pauvreté ? (2/2) : Distinguer le potentiel des machines de celui des hommes La Boston Review a organisé dans son numéro même des réactions nourries aux propos de Kentaro Toyama que nous évoquions la semaine dernière. Comment se préserver de l’utopie technologique ? Le Cassandre Evgeny Morozov (blog), qui s’apprête à publier un livre sur la Désillusion internet, boit du petit lait : « Les décideurs peuvent croire qu’en reconnaissant tout simplement l’échec des technologies précédentes, ils s’assurent que leurs nouvelles initiatives évitent le même sort. Si seulement c’était aussi simple que ça ! Le rythme de l’innovation laisse peu de temps à l’auto-réflexion. Les machines peuvent aider à apprendre La réponse de Nicholas Negroponte, le fondateur du projet OLPC était attendue, puisque Kentaro Toyama attaquait de front le projet. Image : l’OLPC en Mongolie photographiée par Carla Gomez Monroy pour le compte Flickr officiel de l’OLPC. L’expérience de l’OLPC montre que « les enfants ne sont pas seulement des objets de l’enseignement, mais les agents du changement.

100 sites pour consommer sans posséder Voici une première tentative (à ma connaissance) de création d’une liste d’initiatives françaises (ou ayant des activités en France) sur la consommation collaborative (voir la définition au bas de cet article). Dans cette liste, le parti pris a été d’indiquer les initiatives relevant des formes nouvelles d’échange entre particuliers (partage, troc, échange, location) ainsi que les nouveaux styles de vie collaboratifs (crowdfunding, coworking, colunching ...) mais aussi des initiatives se situant aux limites du sujet mais qui méritaient d’être mises en avant pour l’innovation sociale qu’elles représentent. N’hésitez pas à apporter vos contributions à cette liste collaborative ! Alimentation Achat groupé direct au producteur * * * * Don / Vente de produits issus de son jardin * * Colunching Livres

10 open source e-learning projects to watch - Collaboration - Open Source As corporate and government organizations embrace the Web for delivering more education and training programs, a wealth of free and open source e-learning applications will help lower the barrier to entry. TechWorld looks at the options. ATutor ATutor is a Web-based learning content management system (LCMS) designed for accessibility and adaptability by the Adaptive Technology Resource Centre at the University of Toronto. Like Moodle, ATutor is a PHP application with some 25,000 registered installations. Web site: Licence: GPL Commercial support: Project home Developed with: PHP Claroline Claroline is an e-learning and "e-working" platform allowing teachers to build online courses and to manage learning and collaborative activities on the Web. Claroline is organized around the concept of "spaces" related to a course or a pedagogical activity. Web site: Licence: GPL Commercial support: Developed with: PHP Dokeos eFront

Open Source: the Meritocracy vs the Circle of Trust There has been this idea running around the back of my head for a while, and it's only now that it is starting to crystalize into something that I can express. When we look at Open Source projects, we see that there is a hierarchy of involvement. There are different levels at which you can be involved, and at each higher level, there will be less and less individuals. For now I am going to divide involvement up like this: Different Open Source projects but different barriers at different points. For example: (Note: I'm not going to even try and pretend that the above is a complete list of road-blocks) Different people view success of Open Source projects differently. But I don't want to go down such an academic road today. So a lot of the measures of success can be raised by increasing the number of consumers, active contributors, and committers. So how do we increase that number, and thereby increase the probability that our Open Source project is a “success”?

Khan Academy How To Find Inspiration In The Age Of Information Overload ⚙ Co I recently came across a quote from spoken word poet Phil Kaye’s Repetition. In it, he says: My mother taught me this trick, If you repeat something over and over again, it loses it’s meaning...Our existence, she said, is the same way. You watch the sunset too often, and it just becomes 6pm. You make the same mistake over and over, you’ll stop calling it a mistake. Repetition voids meaning. Crack Open a Book Amazon is kind of like a drug dealer. My favorite of late is Steal Like An Artist by Austin Kleon. Go Against the Grain Whatever everyone else is writing about, you probably shouldn’t be. Andrew Chen writes “you’ll have to differentiate on expertise and insight, rather than trying to tag along on whatever cool topic we’re talking about these days.” Tell A Story It’s been said before, and it will be said again. It seems that in startup land, we’re all very wary of sharing our faults and only want to humblebrag about our successes. Hear New Voices

Myself as a Commonwealth: Notes on the Science of Self | Moments of Genius We imagine our view of the world like a painting from the Realism movement – rife with detail and comprehensible – but the contents of our conscious mind are more like a work of Pop Art, full of abstractions and open to interpretation. The problem, as any MOMA goer will confess, is that it’s difficult to interpret a world full of ambiguity. You can spend a career studying Rothko or Pollock and reach a different conclusion from the modern art professor down the hall. Many times trying to explain those preferences actually makes you worse off. The focusing illusion is a related phenomenon that demonstrates how directing our attention towards one bit of information distorts our thinking. What does this research tell us about the mind? Let’s explore this a bit further. Starting in the late 1970s psychologists began demonstrating that people do not realize the reasons for their feelings and decisions. Here’s where things get meta. At least two reasons explain this finding.

Le marketing de contenu inquiète les diplômés du secteur quant au futur de leur profession Plus de 80% des jeunes européens interrogés par Publicis Groupe pensent que les médias sociaux et les agences de marketing numérique vont disparaître dans les dix prochaines années. Les diplômés actuels qui se lancent dans une carrière dans la publicité et le marketing ne se considèrent pas comme étant des «digital natives». Au lieu de cela, ils croient que c'est la génération ayant dix ans de moins qu’eux qui sera véritablement maître de médias numériques. C’est ce que révèle une étude menée par Publicis Groupe auprès de 2 000 étudiants en marketing, communication, publicité, relations publiques et événements. Ceci traduit une certaine inquiétude de ces futurs salariés, qui croient également que les agences de médias sociaux autonomes n'existeront plus dans 10 ans, après s’être fondus dans un paysage de la publicité, qui deviendra dominé par le marketing de contenu. 70% des étudiants pensent que le paysage marketing sera dominé par le marketing éditorial

Why your brand should get creative now with visual content marketing According to Toprank CEO Lee Odden’s recent SES London session, content marketing at its very minimum needs to include: brand leadership, customer empathy, storytelling and creativity. Here are three reasons why some of that creativity should be visual, regardless of your brand or industry. Dedicated Vine analytics tools Since Vine launched last month, we’ve been having a blast contemplating the ramifications for marketers as well as making our own Vines. Now a social analytics company called Simply Measured has released a tool that marketers can use to track how many people have seen their Vines. With a nod in design to many of the social infographics you run across on the web these days, the dashboard shows the amount of posts/Vines you have made, and their performance. The continued rise of Instagram, Tumblr and Pinterest as massive engagement silos Interestingly, Curalate (another analytics tool) just announced the ability to track Instagram and Pinterest from the same dashboard.

Artificial neural network An artificial neural network is an interconnected group of nodes, akin to the vast network of neurons in a brain. Here, each circular node represents an artificial neuron and an arrow represents a connection from the output of one neuron to the input of another. For example, a neural network for handwriting recognition is defined by a set of input neurons which may be activated by the pixels of an input image. After being weighted and transformed by a function (determined by the network's designer), the activations of these neurons are then passed on to other neurons. This process is repeated until finally, an output neuron is activated. Like other machine learning methods - systems that learn from data - neural networks have been used to solve a wide variety of tasks that are hard to solve using ordinary rule-based programming, including computer vision and speech recognition. Background[edit] There is no single formal definition of what an artificial neural network is. History[edit] and

BigML - Machine Learning Made Easy Chaire Machine Learning for Big Data L’accélération du développement et des usages des technologies de l’information et de la communication nous a indéniablement projeté dans une nouvelle ère numérique, celle du « Big Data », où la ... L’accélération du développement et des usages des technologies de l’information et de la communication nous a indéniablement projeté dans une nouvelle ère numérique, celle du « Big Data », où la collecte, le stockage et l’accès à des données toujours plus massives offrent la perspective de progrès considérables dans de nombreux secteurs d’activité, poursuivant dans la voie tracée par les grands acteurs de l’internet.