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.

Caractérisation clinique et par la tomographie d’émission par positrons quantitative du trouble de l’acquisition de la coordination

Résumé : Le trouble de l’acquisition de la coordination (TAC), d’étiologie encore indéterminée, est une anomalie neurologique affectant environ 6% des enfants de l'âge scolaire. Le TAC se manifeste essentiellement par un déficit au niveau des exécutions motrices. Le présent travail de recherche comporte deux volets portant sur le TAC. Premièrement, une étude clinique sur 129 sujets âgés de 4 à 18 ans a permis de classifier les caractéristiques du TAC en sous-groupes cliniques. Trente-trois caractéristiques du TAC, les plus fréquemment rapportées dans la littérature, ont été recensées chez nos sujets. L'application d'évaluations statistiques a permis de faire ressortir trois classes essentielles. Le deuxième volet consistait à identifier les régions cérébrales impliquées dans une tâche motrice à l'aide de l'imagerie par la tomographie d'émission par positrons (TEP). Deux sujets avec TAC et deux sujets normaux ont été étudiés en deux séances d'imagerie TEP dont l'une au repos et l'autre en tapotant du pouce sur les doigts de la main gauche non-dominante. Les analyses du premier volet ont montré, entre autres, que le TAC touchait 3.17 garçons pour une fille, que tous les sujets étaient lents, que 47% des sujets étaient gauchers ou ambidextres alors que seulement 10% sont gauchers dans la population générale, que 26% avaient une dyspraxie verbale, et que 83% avaient été diagnostiqués anxieux. Les sujets ont été classés en trois sous-groupes: 1- maladroits et autres caractéristiques, sans problème de langage; 2- trouble de l’estime de soi et relation avec les pairs; 3- difficulté de langage. En imagerie, les structures cérébrales ont été classées selon leur captation du 18F-fluorodesoxyglucose (FDG) dans les hémisphères droit et gauche, avant et après l'activation, et en comparaison avec les sujets normaux. Trois types de structures cérébrales sont ressortis avec les statistiques: des structures activées, celles relativement non sollicitées et des structures désactivées. Il y avait plus de variations dans la captation du FDG chez les sujets avec TAC que chez les normaux. En conclusion, la caractérisation des sujets avec TAC par le diagnostic clinique et par l'imagerie peut procurer un plan de thérapie adéquat et ciblé étant donné que le TAC a un large spectre et pourrait coexister avec d'autres déficits cérébraux.