Marwan wants to show 15 candies in equal rows. She starts to draw the array above. What should he do to complete his array of candies?

He has to add one more row with 3 candies to complete the array

He has to add one candy to each row to complete the array

AL Model with arrays and commutative property of multiplication (AL)

The LMS has been an essential tool in curriculum design and development and in organizing factors that motivate student learning, especially in online distance learning. However, an LMS can be used in blended, hybrid, and in-class delivery modes. It is a software application designed to help in the administration of courses for both students and instructors. Such systems have been designed for use in learning and teaching activities (Chung et al., 2012). They also provide a variety of interaction methods between instructors and learners to facilitate the learning process better, You must remember well-designed LMS could also help improve student skills, such as effective online learning and self-direction (Norouzi, 2014). Students could use the system to enhance performance (perceived usefulness), and they could use such systems with little effort (perceived ease of use) (Venkatesh & Davis, 2000). A majority of higher education institutions have incorporated LMS systems; they have been used in university systems by schools, faculty members, and instructors (Klobas & McGill,. 2010), Because so much of higher education has been focused on course delivery Chapter3 INSTRUCTIONAL DELIVERY SYSTEMS AND EDUCATIONAL TECHNOLOGY i 71 in a physical classroom, the implementation of an LYS has a;ded institutons in transitioning to new online universe of curriculum de!ivery (Georgou!i, & Guerre. 2NS). Repositories, central databases, and online meeting 'oations are all characteristcs of a management system. As a concept, a 'earning management system is a broad idea and an example of technology's inabifity to be specific in terms of a definition. Several requirements a generat overview of what constitutes a leaming management system, such as those listed above Finally, end-user access is also a part of a learning management system with various levels being set up by security. For example, students have read-onty access, faculty members have read and write access, and technical staff has complete access for support and administrative duties (Graf & Chien, 2009). At its core, a learning management system contains internal or Web-based support and management for numerous aspects of learning and teaching (Hiary & Abu-Shawar, 2009). This allows access from numerous locales, usually on a 24-hour basis. When looking at a university or college, this concept begins to grow greatly depending on the organization's size and scope; department, and degree program. Leaming management systems also go by other names such as course management systems, and their use goes beyond higher education institutions to include businesses and individual instructors. Meis)ar-Tal, Kurtz, and Pieterse (2012) mentioned three primary purposes of an CMS. They include the following: 1. to provide students with digital learning materials; 2. to employ interactive learning activities with students in the forums; and 3. to manage the course and the learners. Faculty members who use an LMS to make available lecture notes and other classroom resources for their face-to-face class create a web-enhanced classroom experience. Regardless of its usage, requirements for classification as a learning management system include several key concepts like the availability of assets over networks, providing hosting, administration. and support. With the requirements set, utilization becomes the focal point. A fully utilized learning management system looks at use at the student level, faculty level, and administration level. proper utilization of learning management systems should mirror traditional higher education goals, enhancing students' experiences. For learninä management systems, this creates a central hub for a class activity. For some classes, all activities work in the learning management system, while others only use its resources for select activities.

Make a multiple choice quiz for my year 8 science students based on the science in this transcript from a video: 3°C 0:04 It can be the difference between snow and sleet 0:08 Wearing a jacket or not 0:11 In your day-to-day life, it may not seem significant 0:15 But 3°C of global warming would be catastrophic 0:20 Heatwaves, droughts, extreme precipitation, even fire 0:25 3°C of warming is really disastrous 0:28 The scary thing is, the world is well on its way there 0:32 Since the industrial revolution, the Earth has warmed between 1.1°C and 1.3°C 0:40 This is a problem that babies you pass in the street will have to live with 0:46 Children born today... 0:47 ...are up to seven times more likely to face extreme weather than their grandparents 0:52 If global temperatures do rise by 3°C... 0:55 ...what would their world look like? Climate change is already having devastating effects 1:03 Rising sea levels 1:05 Desertification 1:07 Hollywood has always enjoyed imagining the end of the world 1:11 While blockbusters like this are clearly fiction... 1:14 ...this film will show the scenario we all face... 1:17 ...unless more drastic measures are taken to stop burning fossil fuels 1:30 In some parts of the world the effects of inaction are already clear 1:35 The slums of Bangladesh’s capital are filling up with climate migrants 1:41 Minara comes from Bhola District, an area in southern Bangladesh 1:46 There, like many other parts of the country... 1:49 ...rivers swollen by heavier rain and melting Himalayan glaciers... 1:53 ...are washing away people’s homes 1:56 Many, like her, have lost everything 2:00 Our home in Bhola had endless amounts of land 2:03 There was lots of space for farming, we had a spacious house 2:08 There were different types of fruits, vegetation and trees growing at home 2:12 We used to eat the fruit from our own trees 2:18 I can’t eat them now because they don't exist anymore 2:21 Since the river flooded for the third time, I had to flee to Dhaka 2:26 Life was much better back home 2:29 It was unbearable to live through, truly intolerable 2:33 We didn’t have the time to save anything at all 2:38 1.1°C to 1.3°C of global warming has already transformed Minara’s life 2:45 It’s one of the reasons why so many migrants like her... 2:47 ...are moving to the city each year... 2:50 ...nearly 400,000 according to the last estimate 2:53 And climate models show there could be much worse to come How climate modelling works 3:02 Climate scientist Joeri Rogelj... 3:04 ...has spent the last ten years modelling future climate scenarios... 3:08 ...for the United Nations 3:10 The models we use to carry out this exercise... 3:13 ...really represent the state of the art... 3:15 ...of our current knowledge of climate change and where we are heading 3:19 Joeri’s projections use data collected by hundreds of scientists around the world 3:26 Here this is the 3°C level... 3:28 ...and so there is at least a one-in-four chance that under current policies... 3:32 ...we would hit 3°C by the end of the century 3:36 This is just one of the scenarios Joeri looks at 3:40 Another one imagines that all policy promises are kept 3:44 The most optimistic assumes that all promises have been kept... 3:47 ...and net-zero targets are met 3:50 Where our best estimate ends up around 2°C at the end of the century... 3:54 ...there is still a one-in-20 chance that we end up with 3°C instead 3:59 One would not be entering a plane if there is a one-in-20 chance... 4:03 ...that the plane will crash Nowhere is safe from global warming 4:07 A rise of 3°C would affect everyone 4:10 Even wealthy cities in rich countries wouldn’t be immune to the consequences 4:15 European capitals like Paris and Berlin... 4:18 ...would bake under more extreme heatwaves 4:22 Frequent storm-surges in New York could turn parts of the city desolate 4:27 In many ways, cities magnify, intensify climate events 4:33 Cities are hotter than the places around them... 4:36 ...they tend to be more vulnerable to flooding 4:39 And you can get a really bad event in a city in a way that you can’t in the countryside 4:46 And because of their denser populations... 4:49 ...disasters in a city affect far more people 4:52 Some cities might be badly prepared for the changes coming 4:56 But they have the means to adapt 4:59 Cities tend to be wealthier than surrounding places 5:03 They have a lot of amenities 5:05 A city that has taken seriously the risks of a 3°C world... 5:08 …wouldn’t necessarily be a worse place to be in a 3°C world 5:12 But a city that hasn’t prepared for these sort of eventualities... 5:16 ...that might be a really nasty place The impact of prolonged droughts 5:20 So far, many developed cities have got off lightly... 5:24 ...but some rural parts of the world are suffering disproportionately 5:29 Smallholders—small-scale farmers—are particularly vulnerable to climate change 5:35 And there are over 600 million around the world 5:38 Smallholders with farms under two hectares... 5:40 ...produce around a third of the global food supply 5:46 Central America’s “Dry Corridor”... 5:48 ...supports a mix of smallholdings and medium-sized farms 5:53 Sandwiched between the Pacific Ocean and the Caribbean Sea... 5:56 ...the area is prone to droughts 6:08 Israel Ramírez Rivera is a smallholder in Guatemala 6:12 Here, climate change is making the dry seasons longer, and more severe 6:18 This is the biggest ear of maize that this plot could deliver 6:23 He depends on his crops of corn and beans 6:26 But they’re getting harder to grow 6:30 The surrounding mountains... 6:32 ...used to provide us with native food... 6:38 ...and now that isn’t an option anymore... 6:41 ...due to climate change and its effects 6:46 Nearly two-thirds of the smallholders in the Dry Corridor now live in poverty 6:52 The impact of all of this for us... 6:59 ...malnutrition among children 7:03 We’ve lost a few 7:07 For my crops especially, the midsummer heat is harder than before 7:16 The plant dries up and can’t provide us... 7:19 ...with the necessary food provision 7:24 Severe droughts in Central America... 7:26 ...are now four times more likely than they were last century 7:30 Many families from here have gone to the States 7:37 The economic despair and debts... 7:44 ...have pushed many people from this community to do this journey 7:53 Migration from Guatemala to the United States has quadrupled since 1990 7:59 Not all of this has been due to climate change 8:02 But longer droughts would force even more to move 8:05 In a 3°C world, annual rainfall in this region... 8:09 ...could drop by up to 14% 8:12 At 3°C, over a quarter of the world’s population... 8:16 ...could endure extreme droughts for at least a month of the year 8:19 Northern Africa could see droughts that last for years at a time Rising sea levels, storm surges and flooding 8:24 But for some, too much water will be the problem 8:29 10% of the world’s population lives on a coastline... 8:32 ...that’s less than 10 metres above sea level 8:35 For these coastal inhabitants, a 3°C world would spell disaster 8:40 By 2100, global sea levels could have climbed by half a metre from 2005 levels 8:46 Low-lying cities like Lagos would be especially vulnerable... 8:49 ...with up to up to a third of the population displaced 8:54 And in Fiji, rising waters are already upending lives 9:04 You can see the graveyard there, it’s all under water now... 9:08 ...due to this rising sea level and climate change 9:15 The village of Togoru in Fiji is being swallowed by the sea 9:19 Barney Dunn, the village headman, has seen over half the village disappear 9:24 Relatives’ houses have been abandoned, and family graves are now under water 9:29 We have been asked by the government to relocate... 9:32 ...but no one wants to relocate... 9:34 ...because we have our great-great-grandparents down there in the sea 9:39 This is the place we’ve been brought up in 9:41 ...it’s not easy to leave 9:44 Past attempts to build a seawall haven’t worked 9:48 But Barney sees building a new one as the village’s only hope 9:52 If they do that, maybe we can save whatever is left 9:56 But if we don’t have the seawall, then it will be keep eroding and time will come... 10:01 ...maybe in ten,15 years, Togoru will be all eroded 10:05 Rising seas also mean storms cause more floods 10:11 And many more countries could suffer 10:14 The Philippines and Myanmar are just two countries... 10:17 ...that will also see an increase in storm surges in a 3°C world 10:21 To escape, many will move… 10:24 …often, to urban areas Extreme heat and wet-bulb temperatures 10:27 Half the world’s population already lives in cities... 10:31 ...almost a third in slums 10:36 For them, a 3°C world could be deadly 10:40 Minara has moved to Dhaka to escape the impact of climate change 10:44 But life could get even worse for her 10:47 I’m struggling a lot nowadays 10:49 The heat during the day is unbearable 10:52 Even late at night it doesn’t cool down 10:57 The heat is getting more intense every day 10:59 I mean, it’s going to get much worse 11:03 I can barely survive it now, how will I live through it in the future? 11:08 Dhaka is getting hotter 11:11 In the last 20 years the average daytime temperature... 11:13 ...has crept up by nearly half a degree 11:17 Days that approach 40°C are now being reported 11:20 And high so-called wet-bulb temperatures are on the rise 11:26 A wet-bulb temperature is a measure of heat and humidity 11:30 Humans cool themselves by sweating… 11:32 But in these conditions, when relative humidity is near 100%... 11:36 ...sweat doesn’t evaporate well 11:38 So people can’t cool down… 11:41 ...even if given unlimited shade and water 11:45 At a high wet-bulb temperature, the body can’t lose heat... 11:49 ...and so it gets hotter and hotter... 11:51 ...and the body is designed to work at a given temperature 11:53 And if it gets too hot inside, you will die 11:58 The human limit for wet-bulb temperatures is 35°C... 12:02 ...around skin temperature 12:04 Dhaka will have a much higher chance... 12:05 ...of reaching dangerous wet-bulb temperatures... 12:07 ...if global warming reaches 3°C 12:12 You can’t really adapt to that 12:14 You have to get out. If the temperature is so high that you can’t work... 12:20 ...can’t do hard manual labour outside for significant parts of the year... 12:25 ...then many places will become functionally no longer part of the economy 12:33 Jacobabad in Pakistan, and Ras al Khaimah, in the United Arab Emirates... 12:37 ...have already recorded deadly wet-bulb temperatures 12:40 More of the tropics and the Persian Gulf... 12:43 ...as well as parts of Mexico and the south-eastern United States... 12:47 ...could all get to this threshold by the end of the century 12:50 Climate modelling might show us the weather Increased migration and conflict 12:52 But it doesn’t show us its other effects on society 12:56 Established migration patterns could change 12:59 Climate disasters may exacerbate reasons people cross borders 13:03 Within countries, more people will move to cities 13:07 In a 3°C world, tens of millions of people a year... 13:10 ...could be displaced by disasters made worse by climate change 13:15 When people are displaced by climate... 13:18 …they may well go to cities... 13:19 ...because cities are the places that attract people from the countryside already 13:25 A lot of people who can get to the developed world... 13:28 ...not least because the developed world tends to be less hot, will give that a go 13:35 As migration around the world increases... 13:38 ...there could be more competition for fewer resources 13:42 Water—already a highly contested resource—will be a focal point 13:47 Turkey’s new Ilisu dam has reduced the flow of water into Iraq 13:53 China lays claim to rivers vital to India and Pakistan 13:57 The prospect of a water-conflict makes people very uneasy 14:03 How national tensions would exacerbate those sorts of reactions... 14:08 ...in a 3°C world... 14:09 ...is the sort of thing that no one should really want to find out 14:14 I think you’d have to be incredibly sanguine... 14:16 ...not to think that the sort of climate extremes that we talk about... 14:19 ...in a 3°C world wouldn’t lead some places... 14:22 ...to the brink of societal collapse 14:25 Those lucky enough to escape unrest... Adaptation and mitigation are crucial 14:28 ...would still have to adapt to a radically different world 14:32 People can adapt to climate change in all sorts of ways, one of the most obvious ones... 14:37 ...is air conditioning 14:39 But other ways to adapt at a local or regional level... 14:42 ...I mean, one of the most obvious is diversifying agriculture 14:47 There are physical things you can do, like seawalls 14:52 The fact that people can adapt and that adaptation will reduce suffering... 14:57 ...doesn’t mean that it will eliminate suffering 15:00 Suffering is built into this whole process of heating up the planet 15:06 Adaptation will only get the world so far 15:09 The best way to deal with a 3°C world... 15:12 ...is not to go to a 3°C world 15:14 And that’s why increasing efforts on mitigation are important 15:17 It’s why working towards negative emissions... 15:20 ...that could bring down the temperature after it peaks are important 15:25 Once you get to a 3°C world, you are in real bad global trouble 15:33 The scale of change needed... 15:35 ...and the slow progress of governments so far... 15:38 ...means 3°C of warming is uncomfortably likely unless more is done 15:44 Despite existing pledges, greenhouse-gas emissions... 15:48 ...are still set to rise by 16% from 2010 levels by 2030 15:54 The need to act has never been clearer 15:57 There’s still time to reduce emissions, so that a 3°C world remains fiction... 16:02 ...rather than becoming fact

Dès le début de vos recherches, vous allez collecter, produire et exploiter des données. La gestion des données (Research Data Management - RDM) fait partie du processus de recherche. Elle concerne l'ensemble des opérations de collecte, description, stockage, traitement, analyse, archivage et mise en accès des données. (extrait de : Passeport pour la Science Ouverte. Guide pratique pour les doctorants ) "La science ouverte est la diffusion sans entrave des publications et des données de la recherche. Elle s’appuie sur l’opportunité que représente la mutation numérique pour développer l’accès ouvert aux publications et – autant que possible – aux données de la recherche. "Les données de la recherche sont la matière première de la connaissance. Les partager, c'est ouvrir de nouvelles perspectives scientifiques" Source : Plan national pour la Science ouverte - Ministère ESR - Juillet 2018 Source image : https://bibliotheques.univ-tlse3.fr/file/composantes-science-ouverte Cette page est une introduction à la gestion des données de recherche. Elle présente quelques concepts et étapes clés pour vous engager dans cette démarche. Consultez les liens pour approfondir vos connaissances. • What are data ? Définition des données de recherche de l’OCDE (2007) « Enregistrements factuels (chiffres, textes, images, sons) utilisés comme source principale pour la recherche scientifique et généralement reconnus par la communauté scientifique comme nécessaires pour valider les résultats de la recherche. Un ensemble de données de recherche constitue une représentation systématique et partielle du sujet faisant l’objet de la recherche ». Exemples • les images d’une ville préhistorique deviennent des données pour un chercheur qui étudie l’histoire de cette ville; • les « données » d’un linguiste peuvent être des écrits ou des discours, des enregistrements de locuteurs ; • les « données » d’un médiéviste sont des sources archivistiques, archéologiques, épigraphiques, iconographiques, littéraires ; • les « données » d’un géologue rassemblent des coupes et observations de terrain consignées sur un carnet, des résultats de carottage, des analyses d’échantillons, des données sismographiques… • • Pourquoi partager ses données ? "La science ouverte vise à construire un écosystème dans lequel la science est plus cumulative, plus fortement étayée par des données, plus transparente, plus rapide et d’accès plus universel.La science ouverte favorise également les avancées scientifiques, particulièrement les avancées imprévues, ainsi que l’innovation, les progrès économiques et sociaux, en France, dans les pays développés et dans les pays en développement. Enfin, la science ouverte constitue un levier pour l’intégrité scientifique et favorise la confiance des citoyens dans la science. Elle constitue un progrès scientifique et un progrès de société." Source : Plan national pour la Science Ouverte (2018) Les enjeux de l'Open Data • enjeux patrimoniaux o preuve et mémoire (éviter les pertes de données) • enjeux économiques o valeur économique de la donnée o réutilisation gratuite ou payante des données, exploitation des résultats de recherches antérieures (éviter de refaire ce qui a déjà été validé), o accélération de l'innovation et le retour sur investissement dans la R&D • enjeux scientifiques o de "hypothesis-driven" à "data-driven" o plus de visibilité pour le scientifique • enjeux sociétaux o participation des citoyens et de la société civile : "Citizen science" o confiance en la recherche Pour aller plus loin • Site Doranum : https://doranum.fr/enjeux-benefices/fiche-synthetique/ • Adopter de bonnes pratiques tout au long du cycle de vie des données De bonnes pratiques de gestion à toutes les étapes du cycle de vie de la donnée sont un préalable indispensable à l’ouverture des données et à leur réutilisation. • Rechercher des données Pour identifier des jeux de données (datasets) pertinents pour votre thèse, des outils de recherche sont disponibles. Suivez ces liens pour les découvrir : • Site Doranum : https://doranum.fr/acces-visualisation/rechercher-donnees/ • Site DataCC - Vos besoins, trouver des données : https://www.datacc.org/vos-besoins/trouver-des-donnees/ • Fiche CoopIST : Trouver des jeux de données via des bases pluridisciplinaires et des moteurs de recherche Pensez-aussi à consulter l'entrepôt institutionnel Data INRAE Page de présentation du portail • Choisir les bons formats et bien organiser vos données  Choisir des formats de fichier : https://www6.inrae.fr/datapartage/Gerer/Choisir-des-formats-de-fichier  Nommer et organiser vos fichiers de données : https://www6.inrae.fr/datapartage/Gerer/Nommer-et-organiser-ses-fichiers-de-donnees Pour aller plus loin • Jaouen, G.- Gérer ses données. Pourquoi, Comment ? Séminaire - Guadeloupe, du 25 au 27 Novembre 2019 – CRAG INRA • Bien décrire et documenter ses données La description d’un jeu de données se fait à l’aide de métadonnées (*) qui doivent apporter suffisamment d'éléments (sur la collecte des données, les unités de mesure employées...) pour chercher et trouver le jeu de données, juger de sa qualité/fiabilité, et pouvoir le comprendre ou le réutiliser dans un autre contexte. (*) Définition des métadonnées : Ensemble d’informations structurées qui décrit, explicite, localise une ressource informationnelle, dans le but d’en faciliter la recherche, l’usage, et la gestion. Source : NISO. Understanding Metadata. 2004. Quelques liens utiles : • Site Doranum : https://doranum.fr/metadonnees-standards-formats/ • DataCC : https://www.datacc.org/vos-besoins/documenter-ses-donnees/metadonnees/ • Site DataPartage INRAE : https://www6.inrae.fr/datapartage/Gerer/Documenter-les-donnees En complément des métadonnées, la rédaction d'un fichier READ ME.txt est également recommandée. • Stocker, sécuriser, préserver ses données Bien différencier les notions de stockage et d'archivage. Anticiper pour déterminer les données à éliminer et celles qui doivent être préservées à long terme. • Dans l'environnement INRAE : https://www6.inrae.fr/datapartage/Gerer/Stocker-les-donnees • Site Doranum : https://doranum.fr/stockage-archivage/ • Site DataCC : https://www.datacc.org/vos-besoins/conserver-ses-donnees/ • Partager, ne pas partager ses données ? Dans le cadre de la Science Ouverte, il y a de plus en plus d'incitations voire d'exigences pour rendre accessibles les données, en particulier les données liées aux publications : • de l'édition scientifique : de plus en plus de revues adoptent une "data policy" (à consulter dans les instructions aux auteurs) et exigent des auteurs qu'ils fournissent les données associées aux publications, • des organismes de financement (ANR, Commission Européenne ...), • des politiques nationale (Plan national pour la Science ouverte - Ministère ESR - Juillet 2018) et institutionnelle. Mais attention, toutes les données ne sont pas partageables : assurez-vous que vos données sont bien diffusables au regard du droit et des conditions d'exercice de votre thèse et de son mode de financement (se reporter à votre contrat de thèse). Les données produites dans les organismes de recherche publics sont communicables à tous si elles n'entrent pas dans le cadre d'exceptions légales (sécurité défense, sécurité des populations, patrimoine scientifique et technique, données personnelles, données liées au secret, statistique, etc.) Liens utiles : • sur le site Data Partage, la page Partager-Publier ou la page : "Données de la recherche : qui a les droits, qui doit partager ?" • le site INRAE dédié à la protection des données personnelles et l'application du RGPD (Règlement général sur la protection des données) : https://intranet.inrae.fr/cil-dpo • Valoriser ses données Voici les principales voies de diffusion •  Partager ses données en les déposant dans un entrepôt  Choisir un entrepôt  Déposer dans Data INRAE  Partager ses données comme matériel supplémentaire d'un article (à la demande de l'éditeur)  Publier un Data Paper (article de données) : la meilleure voie en terme de visibilité des données, et pour faciliter leur réutilisation. Pour aller plus loin • Site Doranum o Dépôts et entrepôts. Comment et où déposer mes données ? o Data papers et Data journals. Comment publier mes données comme un article scientifique ? • Site DataCC o Valoriser ses données • Site CoopIST o Déposer des données de recherche dans un entrepôt o Rédiger et publier un data paper dans une revue scientifique A télécharger : Synthèse du processus de rédaction d'un article avec des données associées • Pourquoi ne pas rédiger un plan de gestion de données (PGD) pour votre thèse ? La thèse peut être assimilée à un projet et certaines universités au Royaume Uni, aux Pays-Bas et plus récemment en France préconisent la rédaction d'un plan de gestion associé à la thèse. Le PGD (ou DMP = Data Management Plan) est un outil de planification qui peut vous aider à anticiper et bien gérer toutes les étapes du cycle de vie de vos données, à limiter les risques de perte ou corruption de données, à adopter de bonnes pratiques de gestion, pour in fine produire des données respectueuses des principes FAIR, adoptés aujourd'hui par l'ensemble des acteurs de la recherche. Il est désormais exigé par la plupart des financeurs de la recherche (Commission Européenne et ANR ...) dans le cadre de projets financés. Rédiger un PGD pour votre thèse, peut être un bon exercice pour vous préparer à la future rédaction de réponses à des appels d'offre. Comment faire en pratique ? • Site DataPartage : Pourquoi et comment rédiger un plan de gestion de données ? • Site Doranum : https://doranum.fr/plan-gestion-donnees-dmp/, La minute vidéo PGD • Site DataCC : https://www.datacc.org/bonnes-pratiques/adopter-un-plan-de-gestion-des-donnees/ • Suivre une classe virtuelle INRAE : Open Class "Rédaction d'un PGD" • Produire des données FAIR ! Favoriser la production de données FAIR (Findable - Accessible - Interoperable - Reusable) est aujourd'hui un objectif soutenu par l'ensemble des acteurs de la recherche. Source : https://open-science-training-handbook.gitbook.io/book/ Si vous suivez les conseils et recommandations de cette page, vous avez toutes les chances d'avoir produit des données de qualité. Si vous préférez une version illustrée : "Pensez FAIR" - https://datapartage.inrae.fr/Gerer/Cycle-de-la-donnee Affiche cycle de vie des données réalisée dans le cadre des Missions QualiNous & RGPD, INRAE-ACT Vous pouvez tester le niveau de "Fairification" de vos données grâce à ces outils :  ARDC : https://ardc.edu.au/resources/working-with-data/fair-data/fair-self-assessment-tool • D'autres ressources pour se former ou s'autoformer En interne INRAE • Formation à la science ouverte OSCAR - Module "Gestion et partage des données" • Le site "Gestion et partage des données" • Des classes virtuelles d'environ 2h (Open Class) sont régulièrement proposées sur : o la rédaction des plans de gestion de données, o le dépôt et la description d'un jeu de données dans Data INRAE, o la rédaction et la publication de data papers, Sites externes • Le site DORANUM (Données de la Recherche : Apprentissage NUMérique à la gestion et au partage) propose un dispositif de formation à distance intégrant de nombreuses ressources d’auto-formation déclinées sur différents supports (textes, infographies, vidéos) et sur 9 thématiques. o Parcours interactif sur la gestion des données de la recherche (2020) o • Le site DataCC. Accompagnement à la gestion des données de recherche en physique et en chimie : https://www.datacc.org/ o Data Stories : https://www.datacc.org/reseau-datacc/data-stories/ o • Le dossier "Open Access & Open Data" réalisé par l'Ecole des Ponts - ParisTech • • The Open Science Training Handbook : https://www.ouvrirlascience.fr/the-open-science-training-handbook/

Los elementos que me pides para el modelo pedagógico dialógico son los siguientes: • Meta de formación: se refiere al propósito o finalidad de la educación, que en este modelo es la transformación social hacia una sociedad más justa, democrática e inclusiva, donde todas las personas puedan desarrollar sus potencialidades y participar activamente en la construcción colectiva del conocimiento. Un ejemplo de esta meta es el proyecto de las comunidades de aprendizaje, que busca mejorar el aprendizaje y la convivencia de todos los estudiantes, mediante la colaboración y el diálogo entre todos los miembros de la comunidad educativa. • Concepción de desarrollo: se refiere a la visión o teoría que sustenta el proceso de aprendizaje, que en este modelo es la concepción dialógica del desarrollo, que se basa en la idea de que el desarrollo humano es el resultado de la interacción social mediada por el lenguaje, y que se produce a través de procesos de internalización y externalización de los significados compartidos. Un ejemplo de esta concepción es la aplicación de los grupos interactivos, que son una forma de organización del aula donde se agrupa a los estudiantes en pequeños grupos heterogéneos, con la ayuda de un adulto voluntario, para realizar actividades de aprendizaje diversificadas y dialógicas. • Relación maestro-estudiante: se refiere al tipo o estilo de interacción que se establece entre el profesor y los alumnos, que en este modelo es una relación horizontal, basada en el respeto mutuo, la confianza, la cooperación y el diálogo igualitario. Un ejemplo de esta relación es la práctica de las tertulias dialógicas, que son espacios donde se lee y se dialoga sobre obras clásicas de la literatura universal, con la participación activa y crítica de todos los asistentes, sin importar su nivel educativo o cultural. • Contenidos curriculares: se refieren al conjunto de conocimientos, habilidades, actitudes y valores que se pretenden enseñar y aprender, que en este modelo son los contenidos dialógicos, que se caracterizan por ser relevantes, significativos, plurales y críticos. Un ejemplo de estos contenidos es el uso de las fuentes documentales diversas y contrastadas, que permiten abordar los temas desde diferentes perspectivas y fomentar el pensamiento crítico y creativo. • Metodología: se refiere al conjunto de estrategias, técnicas y recursos que se utilizan para facilitar el proceso de enseñanza y aprendizaje, que en este modelo son las metodologías dialógicas, que se basan en el uso del diálogo como herramienta principal para el aprendizaje cooperativo, interactivo y transformador. Un ejemplo de estas metodologías es el aprendizaje servicio, que consiste en realizar proyectos solidarios que responden a necesidades reales de la comunidad, integrando los contenidos curriculares con el compromiso social. • Evaluación: se refiere al proceso de recoger, analizar e interpretar información sobre el rendimiento y el progreso de los estudiantes, así como sobre la calidad y la eficacia del proceso educativo, que en este modelo es la evaluación dialógica, que se caracteriza por ser formativa, participativa, diversa y orientada a la mejora. Un ejemplo de esta evaluación es la realización de asambleas o reuniones periódicas donde se comparten los logros y las dificultades, se valoran las aportaciones de todos los participantes y se proponen acciones para mejorar el aprendizaje y la convivencia.

Instrucțiuni - Părți de program care prin compilare produc coduri executabile; - Specific ordinea și modul în care vor fi effectuate calculele impuse de modul de prelucrare a datelor de intrare a programului. Limbajul C consideră instrucțiunile ca fiind instrucțiuni simple și instrucțiuni compuse. O instrucțiune simplă este de fapt o singură instrucțiune, cum ar fi aceea de atribuire (expresie) sau de apel al unei funcții standart. O instrucțiune compusă este alcătuită din două sau mai multe instrucțiuni incluse între acolade.

Durante los siglos centrales de la Edad Media, en el Occidente europeo se consolidó el feudalismo, un modelo político, social y económico caracterizado por la pérdida de poder de los monarcas. Origen del feudalismo. La desintegración del Imperio carolingio dio paso a nuevas oleadas invasoras: vikingos, magiares y musulmanes. Los monarcas pidieron ayuda militar a sus nobles. A cambio, les cedieron tierras, que se denominaron feudos, donde vivían y trabajaban siervos y campesinos libres. Los señores feudales lograron convertir sus cargos y territorios en hereditarios. El rey se convirtió en primus inter pares (primero entre iguales): aunque era el monarca, tenía el mismo poder que el resto de los nobles. Ceremonia de coronación. El papa o un obispo entrega la corona y el cetro de mando al rey para indicar que ha sido elegido por Dios y poner de relieve el carácter sagrado de la monarquía.

LOS MODELOS DEMOGRÁFICOS: LA TRANSICIÓN DEMOCRÁFICA. Para explicar la evolución de la población a lo largo de la historia, los geógrafos han recurrido a diversos modelos. El más aceptado es el modelo de la transición demográfica. Este modelo demográfico diferencia varias etapas: 1. Etapa inicial o preindustrial. Se caracteriza por una natalidad y una mortalidad muy elevadas, que limitan notablemente el crecimiento de la población. Además, la esperanza de vida es baja, en torno a 30 años, y la mortalidad infantil muy alta, por lo que es necesario tener un gran número de hijos. Es el período de las pestes, hambrunas y guerras, una etapa que caracterizó a toda la humanidad hasta finales del siglo xvi o principios del xvi. 2. Etapa de transición: Se caracteriza por el desequilibrio entre natalidad y mortalidad, lo que provoca un rápido crecimiento de la población. La esperanza de vida aumenta también de forma considerable. Se suele dividir en tres momentos diferenciados: * Fase inicial: desaparece la mortalidad catastrófica y la mortalidad infantil disminuye por mejoras en alimentación, higiene, avances médicos, etc. Las tasas de natalidad se mantienen elevadas. * Fase intermedia: la mortalidad desciende rápidamente y la natalidad sigue siendo alta, lo que origina un excedente de nacimientos sobre los fallecimientos. En esta fase se produce la verdadera explosión demográfica. * Fase final: la mortalidad desciende a un ritmo más lento, mientras que la natalidad cae rápidamente, lo que se traduce en un crecimiento reducido. 3. Etapa moderna. En esta etapa, la natalidad y la mortalidad permanecen en equilibrio generando un crecimiento muy bajo, como en la etapa preindustrial. La natalidad se mantiene baja debido al continuo incremento del nivel de vida, a la extensión de la educación y a las transformaciones económicas y sociales que han tenido lugar. La mortalidad, por su parte, también se mantiene baja. Tan solo en algunos países industrializados, con una elevada esperanza de vida, esta repunta debido al envejecimiento de su población. 4. Regresión demográfica. El progresivo envejecimiento de la población lleva a una cuarta etapa de «regresión demográfica», de la que solo se puede salir aumentando los efectivos de la población joven inmigrante.

Cablul cu fibră optică a devenit foarte popular pentru interconectarea echipamentelor de rețea. Aceasta permite transmiterea datelor pe distanțe mari și la lățimi de bandă mai mari față de orice alt mediu de rețea. Fibra optică este flexibilă, da extrem de subțire și transparentă din dioxid de siliciu, nu este mai mare decât un fir de păr uman. Biții sunt codificați pe fibră sub formă de impulsuri de lumină. Cablul cu fibră optică se comportă ca un ghid de unde sau “light pipe”, pentru a transmite lumina între cele două capete cu pierderea minimă a semnalului. Analogic, gandiți-vă la cartonul unei role de hartie, având interiorul căptușit cu o oglindă și lungime de o mie de metri, și un dispozitiv laser care este utilizat pentru a trimite semnale codate, folosind codul Morse, cu viteza luminii. Cam așa funcționează un cablu cu firbă optică, cu excepția faptului că este mai mic în diametru și folosește emiterea sofisticată de lumină și tehnologii de primire. Spre deosebire de firele din cupru, cablul cu fibră optică poate transmite semnale cu mai puțină atenuare și este complet imun la EMI și RFI. Cablarea cu firbă optică este acum utilizată în patru tipuri de industrii: • Rețele ale Companiei:Fibra este utilizată pentru aplicațiile de cablare pentru backbone și interconectarea echipamentelor de infrastructură. • Rețele de Acces și FTTHFiber-to-the-home (FTTH) este utilizat pentru a asigura servicii permanente de broadbant pentru companiile mici și locuințe. FTTH suportă viteze mari de acces la Internet la prețuri accesibile, dar și telemedicină și streaming video. • Rețele Long-HaulProviderii de internet utilizează rețele pe bază de fibră optică terestră pentru a interconecta țări și orașe. De obicei, rețelele cuprind de la o duzină la câteva mii de km și folosesc sisteme de până la 10 Gb/s. • Rețele SubmarineCablurile cu fibră specială sunt utilizate pentru a asigura o viteză crescută fiabilă, soluții de capacitate mare capabile să supraviețuiască în medii dure submarine pe distanțe transoceanice. Scopul nostru este utilizarea fibrei în cadrul companiilor. Proiectarea cablului cu mediu din fibră Deși o fibră optică este foarte subțire, este compusă din două tipuri de geam și dintr-un înveliș de protecție extern. Acestea sunt: • NucleuConstă în geam pur și este partea din fibră prin care trece lumina. • ÎnvelişGeamul care înconjoară nucleul și se comportă ca o oglindă. Impulsurile de lumină se propagă pe nucleu în timp ce învelișur le reflectă. Astfel se păstrează impulsurile de lumină din nucleul fibrei într-un fenomen cunoscut ca reflexie totală internă. • IzolaţieDe obicei, o izolație din PVC protejează nucelul și învelișul. Poate conține și materiale de întărire și un înveliș al cărui scop este să protejeze geamul împotriva umezelii și a zgârieturilor. Deși este sensibil la îndoiri sub unghi ascuțit, proprietățile miezului și ale armăturii au fost modificate la nivel molecular pentru a le face foarte rezistente. Fibra optică este testată printr-un proces de fabricație riguros la o forță de minimum 100,000 livre pe inci pătrat. Fibra optică este suficient de durabilă pentru a rezista în timpul instalării și dezvoltării în condiții de mediu dure din rețelele din întreaga lume. Tipuri de Mediu din Fibră Impulsurile de lumină care reprezintă datele transmise sub formă de biți în mediu sunt generate de: • Lasere • Diode Emițătoare de Lumină (LED-uri) Dispozitivele electronice semiconductoare numite fotodiode detectează pulsurile de lumină și le transformă în tensiuni ce pot fi reconstruite în frame-uri de date. Notă:Lumina laser transmisă în cablarea cu fibră optică poate afecta ochiul uman. Trebuie să evitați să priviți în capătul unei fibre optice active. Cablurile cu fibră optică pot fi clasificate în două tipuri: • Fibră single-mode (SMF)Constă într-un nucleu foarte mic și folosește tehnologie laser scumpă pentru a trimite o singură rază de lumină. Este utilizată de obicei pe distanțe lungi care se întind pe sute de km precum telefonie pe distanțe mari și aplicații TV prin cablu. • Fibră multimode (MMF)Constă într-un nucleu mare și folosește emițătoare LED pentru a trimite impulsuri de lumină. Lumina dintr-un LED intră în fibra multimode în unghiuri diferite. Este utilizată în LAN-uri deoarece pot fi pornire prin LED-uri ieftine. Asigură lățime de bandă până la 10 Gb/s pe distanțe de până la 550 metri. Figura 1 și 2 evidențiază caracteristicile celor două tipuri de fibră. Una dintre diferențe este cantitatea de dispersie. Dispersia se referă la împrăștierea unui impuls de lumină pe o durată de timp. Cu cât este mai mare dispersia, cu atât este mai mare pierderea de putere a semnalului.

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