{"id":129753,"date":"2020-08-11T18:22:55","date_gmt":"2020-08-11T22:22:55","guid":{"rendered":"https:\/\/fsc-ccf.ca\/references\/better-faster-stronger-maximizing-the-benefits-of-automation-for-ontarios-firms-and-people-4\/"},"modified":"2020-08-11T18:22:54","modified_gmt":"2020-08-11T22:22:54","slug":"better-faster-stronger-maximizing-the-benefits-of-automation-for-ontarios-firms-and-people-4","status":"publish","type":"reference","link":"https:\/\/fsc-ccf.ca\/fr\/references\/better-faster-stronger-maximizing-the-benefits-of-automation-for-ontarios-firms-and-people-4\/","title":{"rendered":"Better, faster, stronger: Maximizing the benefits of automation for Ontario\u2019s firms and people"},"content":{"rendered":"<p>La condition de travail de pr\u00e9paration aux Etats-Unis met en \u00e9vidence le niveau de pr\u00e9paration de travail pour divers sous-groupes d&#8217;un montant estim\u00e9 \u00e0 4 millions d&#8217;ACT WorkKeys aux \u00c9tats-examin\u00e9s Unis et fournit ACT travail Normes de pr\u00e9paration et points de r\u00e9f\u00e9rence pour les professions cibl\u00e9es au cours des 8-10 prochaines ann\u00e9es. Les donn\u00e9es sont pr\u00e9sent\u00e9es pour ACT WorkKeys examin\u00e9s 2006-2011 pour trois \u00e9valuations cognitives: lecture de l&#8217;information, math\u00e9matiques appliqu\u00e9es et informations de localisation. Ces trois comp\u00e9tences ont \u00e9t\u00e9 syst\u00e9matiquement identifi\u00e9s comme importants pour le succ\u00e8s dans un large \u00e9ventail d&#8217;emplois, ce qui les rend \u0153essential les comp\u00e9tences de base. Les profils professionnels dans la base de donn\u00e9es ACT JobPro\u00c2\u00ae ont \u00e9t\u00e9 utilis\u00e9s pour d\u00e9terminer les rep\u00e8res de pr\u00e9paration de travail pour trois groupes s\u00e9lectionn\u00e9s de professions cibl\u00e9es (ceux qui sont pr\u00e9vus pour \u00eatre \u00e0 la demande, de plus en plus, et bien r\u00e9mun\u00e9r\u00e9s) et regroup\u00e9s en trois cat\u00e9gories d&#8217;enseignement (haut, moyen et bas) . Le rapport a \u00e9tudi\u00e9 l&#8217;hypoth\u00e8se que les personnes ayant un niveau d&#8217;enseignement donn\u00e9 ont les comp\u00e9tences requises pour les professions exigeant que le niveau d&#8217;\u00e9ducation. Une analyse des \u00e9carts a \u00e9t\u00e9 men\u00e9e pour comparer par groupe les candidats de l&#8217;\u00e9ducation pour les professions qui exigent des niveaux similaires d&#8217;\u00e9ducation pour l&#8217;entr\u00e9e dans l&#8217;emploi. \u00e9cart \u0153Skills a \u00e9t\u00e9 d\u00e9fini comme un \u00e9cart entre les comp\u00e9tences requises pour un emploi n\u00e9cessitant un niveau d&#8217;enseignement donn\u00e9 par rapport aux comp\u00e9tences acquises par les travailleurs \u00e0 ce niveau d&#8217;\u00e9ducation. Traduit a\u0300 l'aide de Google Translate<\/p>\n","protected":false},"excerpt":{"rendered":"<p>La condition de travail de pr\u00e9paration aux Etats-Unis met en \u00e9vidence le niveau de pr\u00e9paration de travail pour divers sous-groupes d&#8217;un montant estim\u00e9 \u00e0 4 millions d&#8217;ACT WorkKeys aux \u00c9tats-examin\u00e9s Unis et fournit ACT travail Normes de pr\u00e9paration et points de r\u00e9f\u00e9rence pour les professions cibl\u00e9es au cours des 8-10 prochaines ann\u00e9es. Les donn\u00e9es sont pr\u00e9sent\u00e9es pour ACT WorkKeys examin\u00e9s 2006-2011 pour trois \u00e9valuations cognitives: lecture de l&#8217;information, math\u00e9matiques appliqu\u00e9es et informations de localisation. Ces trois comp\u00e9tences ont \u00e9t\u00e9 syst\u00e9matiquement identifi\u00e9s comme importants pour le succ\u00e8s dans un large \u00e9ventail d&#8217;emplois, ce qui les rend \u0153essential les comp\u00e9tences de base. Les profils professionnels dans la base de donn\u00e9es ACT JobPro\u00c2\u00ae ont \u00e9t\u00e9 utilis\u00e9s pour d\u00e9terminer les rep\u00e8res de pr\u00e9paration de travail pour trois groupes s\u00e9lectionn\u00e9s de professions cibl\u00e9es (ceux qui sont pr\u00e9vus pour \u00eatre \u00e0 la demande, de plus en plus, et bien r\u00e9mun\u00e9r\u00e9s) et regroup\u00e9s en trois cat\u00e9gories d&#8217;enseignement (haut, moyen et bas) . Le rapport a \u00e9tudi\u00e9 l&#8217;hypoth\u00e8se que les personnes ayant un niveau d&#8217;enseignement donn\u00e9 ont les comp\u00e9tences requises pour les professions exigeant que le niveau d&#8217;\u00e9ducation. Une analyse des \u00e9carts a \u00e9t\u00e9 men\u00e9e pour comparer par groupe les candidats de l&#8217;\u00e9ducation pour les professions qui exigent des niveaux similaires d&#8217;\u00e9ducation pour l&#8217;entr\u00e9e dans l&#8217;emploi. \u00e9cart \u0153Skills a \u00e9t\u00e9 d\u00e9fini comme un \u00e9cart entre les comp\u00e9tences requises pour un emploi n\u00e9cessitant un niveau d&#8217;enseignement donn\u00e9 par rapport aux comp\u00e9tences acquises par les travailleurs \u00e0 ce niveau d&#8217;\u00e9ducation. [googletranslate_fr]<\/p>\n","protected":false},"template":"","reference-tag":[],"reference-type":[436],"class_list":["post-129753","reference","type-reference","status-publish","hentry","reference-type-white-paper"],"acf":{"citation":"Lamb, C., Munro, D., and Vu, V. (2018). Better, faster, stronger: Maximizing the benefits of automation for Ontario\u2019s firms and people. Toronto, ON: . 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