{"id":131049,"date":"2020-08-11T18:32:16","date_gmt":"2020-08-11T22:32:16","guid":{"rendered":"https:\/\/fsc-ccf.ca\/references\/its-learning-just-not-as-we-know-it-how-to-accelerate-skills-acquisition-in-the-age-of-intelligent-technologies-3\/"},"modified":"2020-08-11T18:32:16","modified_gmt":"2020-08-11T22:32:16","slug":"its-learning-just-not-as-we-know-it-how-to-accelerate-skills-acquisition-in-the-age-of-intelligent-technologies-3","status":"publish","type":"reference","link":"https:\/\/fsc-ccf.ca\/fr\/references\/its-learning-just-not-as-we-know-it-how-to-accelerate-skills-acquisition-in-the-age-of-intelligent-technologies-3\/","title":{"rendered":"It’s learning. Just not as we know it: How to accelerate skills acquisition in the age of intelligent technologies"},"content":{"rendered":"

[Ce rapport sugg\u00e8re que c’est une course entre l’\u00e9ducation et la technologie. Comme les syst\u00e8mes intelligents et les machines modifieront la nature du travail, les gens devront enti\u00e8rement nouveaux niveaux de comp\u00e9tences. Mais les comp\u00e9tences m\u00eames qui gagnent en importance ne sont pas enseign\u00e9es dans les classes. Elles sont acquises par la pratique et l’exp\u00e9rience, souvent sur de longues p\u00e9riodes de temps. Certaines grandes soci\u00e9t\u00e9s exp\u00e9rimentent de nouvelles m\u00e9thodes d’apprentissage \u00e0 vie, mais les syst\u00e8mes traditionnels d’\u00e9ducation et d’apprentissage sont inefficaces et inappropri\u00e9s pour le nouveau d\u00e9fi des comp\u00e9tences. Pour ce rapport, nous regardons \u00e0 travers l’objectif du travailleur futur – de l’atelier \u00e0 la salle de r\u00e9union, de l’avant du magasin au back-office – et nous identifions leurs comp\u00e9tences en \u00e9volution de la demande. Nous analysons l’\u00e9volution de l’importance des comp\u00e9tences aux diff\u00e9rents r\u00f4les et l’impact des technologies intelligentes. Contrairement \u00e0 une id\u00e9e re\u00e7ue, ce n’est pas sur les comp\u00e9tences technologiques. Il est de cultiver la gamme compl\u00e8te des comp\u00e9tences, de la cr\u00e9ation des capacit\u00e9s cognitives complexes que la main-d’\u0153uvre future aura besoin. Notre diagnostic: les syst\u00e8mes d’\u00e9ducation et d’apprentissage en cours d’entreprise ne sont pas \u00e9quip\u00e9s pour r\u00e9pondre \u00e0 la r\u00e9volution \u00e0 venir dans la demande de comp\u00e9tences. Le d\u00e9fi est particuli\u00e8rement urgent pour les r\u00f4les qui sont plus vuln\u00e9rables \u00e0 la dislocation gr\u00e2ce \u00e0 l’automatisation intelligente. L’impact est in\u00e9gale entre les \u00e9conomies et les industries, exigeant des interventions cibl\u00e9es. Traduit a\u0300 l'aide de Google Translate<\/p>\n","protected":false},"excerpt":{"rendered":"

[Ce rapport sugg\u00e8re que c’est une course entre l’\u00e9ducation et la technologie. Comme les syst\u00e8mes intelligents et les machines modifieront la nature du travail, les gens devront enti\u00e8rement nouveaux niveaux de comp\u00e9tences. Mais les comp\u00e9tences m\u00eames qui gagnent en importance ne sont pas enseign\u00e9es dans les classes. Elles sont acquises par la pratique et l’exp\u00e9rience, souvent sur de longues p\u00e9riodes de temps. Certaines grandes soci\u00e9t\u00e9s exp\u00e9rimentent de nouvelles m\u00e9thodes d’apprentissage \u00e0 vie, mais les syst\u00e8mes traditionnels d’\u00e9ducation et d’apprentissage sont inefficaces et inappropri\u00e9s pour le nouveau d\u00e9fi des comp\u00e9tences. Pour ce rapport, nous regardons \u00e0 travers l’objectif du travailleur futur – de l’atelier \u00e0 la salle de r\u00e9union, de l’avant du magasin au back-office – et nous identifions leurs comp\u00e9tences en \u00e9volution de la demande. Nous analysons l’\u00e9volution de l’importance des comp\u00e9tences aux diff\u00e9rents r\u00f4les et l’impact des technologies intelligentes. Contrairement \u00e0 une id\u00e9e re\u00e7ue, ce n’est pas sur les comp\u00e9tences technologiques. Il est de cultiver la gamme compl\u00e8te des comp\u00e9tences, de la cr\u00e9ation des capacit\u00e9s cognitives complexes que la main-d’\u0153uvre future aura besoin. Notre diagnostic: les syst\u00e8mes d’\u00e9ducation et d’apprentissage en cours d’entreprise ne sont pas \u00e9quip\u00e9s pour r\u00e9pondre \u00e0 la r\u00e9volution \u00e0 venir dans la demande de comp\u00e9tences. Le d\u00e9fi est particuli\u00e8rement urgent pour les r\u00f4les qui sont plus vuln\u00e9rables \u00e0 la dislocation gr\u00e2ce \u00e0 l’automatisation intelligente. L’impact est in\u00e9gale entre les \u00e9conomies et les industries, exigeant des interventions cibl\u00e9es. [googletranslate_fr]<\/p>\n","protected":false},"template":"","reference-tag":[],"reference-type":[436],"class_list":["post-131049","reference","type-reference","status-publish","hentry","reference-type-white-paper"],"acf":{"citation":"Accenture (2018). It's learning. Just not as we know it: How to accelerate skills acquisition in the age of intelligent technologies. n.p., n.p.: Accenture. 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