2 resultados para Chevaux de course -- Grande-Bretagne


Relevância:

100.00% 100.00%

Publicador:

Resumo:

Le 8 septembre 1760, la Nouvelle-France s’incline devant son opposant, la Grande-Bretagne, après six années de conflits armés. La fin des hostilités en Europe, concrétisée par la signature du traité de Paris le 10 février 1763, marque un tournant pour les habitants de la vallée du Saint-Laurent qui ont désormais un nouveau souverain. Le changement de régime est lourd de répercussions, particulièrement pour la noblesse canadienne. Étant donné qu’ils sont dépendants des dirigeants afin d’obtenir des postes de choix, les membres de ce groupe privilégié ayant décidé de rester dans la colonie doivent s’adapter s’ils désirent maintenir leur statut social. L’arrivée des nouvelles élites militaires, administratives et commerciales britanniques oblige la noblesse à se renouveler. Les familles nobles ont-elles usé de stratégies matrimoniales en mariant leurs enfants à des individus non francophones dans le but de se rapprocher des autorités? En contrepartie, ces alliances interethniques ont-elles permis aux conjoints « étrangers » de s’insérer dans les réseaux seigneuriaux? Les unions mixtes impliquant un membre de la noblesse sont peu nombreuses (38) et concernent surtout les filles nobles. La présence de fils nobles n’est pas pour autant inexistante, bien que les comportements de ceux-ci se distinguent de leurs compatriotes féminines. Ayant des caractéristiques hétérogènes, les mariages mixtes perpétuent tout de même les pratiques en place sous le régime français, notamment sur le plan sociodémographique. Les parcours religieux variés sont toutefois le reflet de la période de transition que constitue la deuxième moitié du XVIIIe siècle. Sur le plan socioprofessionnel, les conjoints non francophones ont relativement bien tiré profit de leur alliance avec une noble canadienne, contrairement aux pères nobles. Malgré leur nombre restreint, l’étude des mariages mixtes permet de documenter un phénomène jusque là méconnu, en plus d’approfondir les connaissances en histoire de la famille et du genre pour les quarante années qui suivent la Conquête.

Relevância:

30.00% 30.00%

Publicador:

Resumo:

Abstract: Quantitative Methods (QM) is a compulsory course in the Social Science program in CEGEP. Many QM instructors assign a number of homework exercises to give students the opportunity to practice the statistical methods, which enhances their learning. However, traditional written exercises have two significant disadvantages. The first is that the feedback process is often very slow. The second disadvantage is that written exercises can generate a large amount of correcting for the instructor. WeBWorK is an open-source system that allows instructors to write exercises which students answer online. Although originally designed to write exercises for math and science students, WeBWorK programming allows for the creation of a variety of questions which can be used in the Quantitative Methods course. Because many statistical exercises generate objective and quantitative answers, the system is able to instantly assess students’ responses and tell them whether they are right or wrong. This immediate feedback has been shown to be theoretically conducive to positive learning outcomes. In addition, the system can be set up to allow students to re-try the problem if they got it wrong. This has benefits both in terms of student motivation and reinforcing learning. Through the use of a quasi-experiment, this research project measured and analysed the effects of using WeBWorK exercises in the Quantitative Methods course at Vanier College. Three specific research questions were addressed. First, we looked at whether students who did the WeBWorK exercises got better grades than students who did written exercises. Second, we looked at whether students who completed more of the WeBWorK exercises got better grades than students who completed fewer of the WeBWorK exercises. Finally, we used a self-report survey to find out what students’ perceptions and opinions were of the WeBWorK and the written exercises. For the first research question, a crossover design was used in order to compare whether the group that did WeBWorK problems during one unit would score significantly higher on that unit test than the other group that did the written problems. We found no significant difference in grades between students who did the WeBWorK exercises and students who did the written exercises. The second research question looked at whether students who completed more of the WeBWorK exercises would get significantly higher grades than students who completed fewer of the WeBWorK exercises. The straight-line relationship between number of WeBWorK exercises completed and grades was positive in both groups. However, the correlation coefficients for these two variables showed no real pattern. Our third research question was investigated by using a survey to elicit students’ perceptions and opinions regarding the WeBWorK and written exercises. Students reported no difference in the amount of effort put into completing each type of exercise. Students were also asked to rate each type of exercise along six dimensions and a composite score was calculated. Overall, students gave a significantly higher score to the written exercises, and reported that they found the written exercises were better for understanding the basic statistical concepts and for learning the basic statistical methods. However, when presented with the choice of having only written or only WeBWorK exercises, slightly more students preferred or strongly preferred having only WeBWorK exercises. The results of this research suggest that the advantages of using WeBWorK to teach Quantitative Methods are variable. The WeBWorK system offers immediate feedback, which often seems to motivate students to try again if they do not have the correct answer. However, this does not necessarily translate into better performance on the written tests and on the final exam. What has been learned is that the WeBWorK system can be used by interested instructors to enhance student learning in the Quantitative Methods course. Further research may examine more specifically how this system can be used more effectively.