L'identité ethnique chez les jeunes contrevenants

La présence accrue de jeunes appartenant à un groupe ethnoculturel minoritaire dans les institutions pour jeunes contrevenants au Québec est une problématique complexe et préoccupante. Lorsque les études scientifiques se penchent sur les questions liées à la délinquance juvénile et aux gangs de rue, l’accent est placé sur l’identification de groupes ethniques plus à risque de s’associer à un gang (van Gemert, Peterson, & Lien, 2008; Wortley & Tanner, 2006). L’association à un gang de rue est régulièrement considérée comme un phénomène qui toucherait principalement les groupes ethnoculturels minoritaires (Perreault & Bibeau, 2003 ; Spergel, 2009), sans toutefois préciser le rôle plus concret de l’ethnicité et de la culture dans l’association aux gangs de rue. Cette thèse, composée d’articles scientifiques, présente les résultats de deux études portant sur l’identité ethnique de jeunes contrevenants, mesurée par le Multigroup Ethnic Identity Measure – Revised (MEIM-R) de Phinney et Ong (2007). La première étude explore les effets de l’identité ethnique et de la génération d’immigration sur les comportements délinquants autorévélés de jeunes contrevenants judiciarisés. (N = 71, âge 14-20 ans). Les comportements délinquants ont été mesurés à partir du Self-Report of Offending – Revised (SRO-R) de Huizingua, Esbensen et Weihar (1991). La seconde étude explore le rôle de l’identité ethnique et de l’appartenance à un groupe de minorités racisées dans l’association autorévélée à un gang de rue et dans l’adhésion à la culture de gang (N = 69; âge 14-20 ans). L’adhésion à la culture de gang a, quant à elle, été établie à partir de la Mesure d’adhésion à la culture de gang (MACg) de Fredette (2014). Les résultats indiquent une plus forte identité ethnique chez les jeunes contrevenants issus de la première et de la seconde génération d’immigration que ceux de la troisième génération d’immigration ou plus. Lorsqu’on tient uniquement compte de l’apparence ethnique, les jeunes contrevenants appartenant à une minorité racisée présentent aussi des plus hauts scores d’identité ethnique que ceux appartenant à la majorité caucasienne. Les résultats indiquent également que les jeunes contrevenants de l’échantillon ayant immigré avant l’âge de 6 ans et qui ont tendance à présenter une identité ethnique élevée rapportent davantage de crimes contre la personne. Afin de mieux cerner les mécanismes sous-jacents à l’effet de l’identité ethnique sur les crimes reconnus plus violents, il a été convenu de prendre l’association à un gang de rue comme variable dépendante de la seconde étude. En effet, les délinquants qui se disent associés aux gangs de rue présentent une problématique de délinquance plus sévère que les autres (Laurier, Guay, Lafortune, & Toupin, 2015), notamment en ce qui a trait à la délinquance violente (Guay et al., 2015). Plus un jeune contrevenant rapporte un niveau d’exploration de l’identité ethnique élevé, plus il adhère aux dimensions signes et symboles et règles et rituels de l’adhésion à la culture de gang, et ce, peu importe son âge, ou qu’il appartienne à une minorité racisée. Cette recherche fait ressortir l’importance de s’intéresser aux questions identitaires liées à l’ethnicité, à la race et à la culture lors d’interventions auprès de jeunes contrevenants, et ce, peu importe leurs origines.

The Effect of using online homework exercises on student achievement in a Quantitative methods course

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.