8 resultados para Colby enrollment

em Brock University, Canada


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The original Master Plan of 1964 called for the campus to stretch out 1 1/4 miles across the escarpment with arts buildings west of the tower and science buildings to the east. This plan laid out the development of Brock for the next 10 or 11 years by which time enrollment was expected to be near 8000 students.

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The original Master Plan of 1964 called for the campus to stretch out 1 1/4 miles across the escarpment with arts buildings west of the tower and science buildings to the east. This plan laid out the development of Brock for the next 10 or 11 years by which time enrollment was expected to be near 8000 students. Pictured here is the tower and university centre. The view is looking east towards a cluster of science buildings and residences in the background.

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The original Master Plan of 1964 called for the campus to stretch out 1 1/4 miles across the escarpment with arts buildings west of the tower and science buildings to the east. This plan laid out the development of Brock for the next 10 or 11 years by which time enrollment was expected to be near 8000 students. Pictured here is the tower and behind it, in the lower left portion of the picture, the planned outdoor amphitheatre. This view is from the edge of the escarpment facing southward or southeast.

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The original Master Plan of 1964 called for the campus to stretch out 1 1/4 miles across the escarpment with arts buildings west of the tower and science buildings to the east. This plan laid out the development of Brock for the next 10 or 11 years by which time enrollment was expected to be near 8000 students. Pictured here is the tower and main entrance to the university. To the left is a planned administration building. The original plans also called for a miniature canal running between the boulevard at the entrance which would then pass through an underground system and open up into a waterfall at the brink of the escarpment behind the tower.

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This study probed for an answer to the question, "How do you identify as early as possible those students who are at risk of failing or dropping out of college so that intervention can take place?" by field testing two diagnostic instruments with a group of first semester Seneca College Computer Studies students. In some respects, the research approach was such as might be taken in a pilot study. Because of the complexity of the issue, this study did not attempt to go beyond discovery, understanding and description. Although some inferences may be drawn from the results of the study, no attempt was made to establish any causal relationship between or among the factors or variables represented here. Both quantitative and qualitative data were gathered during. four resea~ch phases: background, early identification, intervention, and evaluation. To gain a better understanding of the problem of student attrition within the School of Computer Studies at Seneca College, several methods were used, including retrospective analysis of enrollment statistics, faculty and student interviews and questionnaires, and tracking of the sample population. The significance of the problem was confirmed by the results of this study. The findings further confirmed the importance of the role of faculty in student retention and support the need to improve the quality of teacher/student interaction. As well, the need __f or ~~ills as~e:ss_~ent foll,,-~ed }JY supportiv e_c_ounsell~_I'l9_ ~~d_ __ placement was supported by the findings from this study. strategies for reducing student attrition were identified by faculty and students. As part of this study, a project referred to as "A Student Alert project" (ASAP) was undertaken at the School of Computer Studies at Seneca College. Two commercial diagnostic instruments, the Noel/Levitz College Student Inventory (CSI) and the Learning and Study Strategies Inventory (LASSI), provided quantitative data which were subsequently analyzed in Phase 4 in order to assess their usefulness as early identification tools. The findings show some support for using these instruments in a two-stage approach to early identification and intervention: the CSI as an early identification instrument and the LASSI as a counselling tool for those students who have been identified as being at risk. The findings from the preliminary attempts at intervention confirmed the need for a structured student advisement program where faculty are selected, trained, and recognized for their advisor role. Based on the finding that very few students acted on the diagnostic results and recommendations, the need for institutional intervention by way of intrusive measures was confirmed.

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Health education is essential to the successful treatment of individuals with chronic illnesses. Self-management is a philosophical model of health education that has been shown to be effective in teaching individuals with chronic arthritis to manage their illness as part of their daily lives. Despite the proven results of arthritis self-management programs, some limitations of this form of health education were apparent in the literature. The present study attempted to address the problems of the self-management approach of health education such as reasons for lack of participation in programs and poor course outcomes. In addition, the study served to investigate the relationship between course outcomes and participation in programs with the theory upon which arthritis self-management programs are based, known as self-efficacy theory. Through a combination of qualitative and quantitative methodologies, data collection, and analysis, a deeper understanding of the self-management phenomenon in the treatment of chronic arthritic conditions was established. Findings of the study confirm findings of previous studies that suggest that arthritis self-management programs result in enhanced levels of self-efficacy and are effective in teaching individuals with arthritis to self-manage their health and health care. Findings of the study suggest that there are many factors that determine the choice of participants to participate in programs and the outcomes for the individuals who do choose to participate in programs. Some of the major determinants of enrollment and outcomes of programs include: the participant's personality, beliefs, attitudes and abilities, and the degree of emotional acceptance of the illness. Other determinants of course enrollment and outcomes included class size and length of time, timing of participation, and ongoing support after the program. The results of the study are consistent with the self-management literature and confirm the relationship between the underlying philosophies of adult education and Freire's model of education and self-management.

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This study probed for an answer to the question, "How do you identify as early as possible those students who are at risk of failing or dropping out of college so that intervention can take place?" by field testing two diagnostic instruments with a group of first semester Seneca College Computer ,Studies students. In some respects, the research approach was such as might be taken in a pilot study_ Because of the complexity of the issue, this study did not attempt to go beyond discovery, understanding and description. Although some inferences may be drawn from the results of the study, no attempt was made to establish any causal relationship between or among the factors or variables represented here. Both quantitative and qualitative data were gathered during four resea~ch phases: background, early identification, intervention, and evaluation. To gain a better understanding of the problem of student attrition within the School of Computer Studies at Seneca College, several methods were used, including retrospective analysis of enrollment statistics, faculty and student interviews and questionnaires, and tracking of the sample population. The significance of the problem was confirmed by the results of this study. The findings further confirmed the importance of the role of faculty in student retention and support the need to improve the quality of teacher/student interaction. As well, the need for skills assessmen~-followed by supportive counselling, and placement was supported by the findings from this study. strategies for reducing student attrition were identified by faculty and students. As part of this study, a project referred to as "A Student Alert Project" (ASAP) was undertaken at the School of Computer Studies at Seneca college. Two commercial diagnostic instruments, the Noel/Levitz College Student Inventory (CSI) and the Learning and Study Strategies Inventory (LASSI), provided quantitative data which were subsequently analyzed in Phase 4 in order to assess their usefulness as early identification tools. The findings show some support for using these instruments in a two-stage approach to early identification and intervention: the CSI as an early identification instrument and the LASSI as a counselling tool for those students who have been identified as being at risk. The findings from the preliminary attempts at intervention confirmed the need for a structured student advisement program where faculty are selected, trained, and recognized for their advisor role. Based on the finding that very few students acted on the diagnostic results and recommendations, the need for institutional intervention by way of intrusive measures was confirmed.

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This study was an investigation into whether strong teacher-student rapport relates to the drop-out rates of students in grade 9 and 10 health and physical education (HPE). In the study, One hundred and thirty-six grade 9 students from five high schools in Ontario participated in this study. Findings of whether or not rapport related to students’ decision to take an additional HPE credit beyond grade 9 did not prove conclusive. A significant multivariate interaction effect was not found; however, tests of between-subject effects on sex and grade 10 dropouts showed some interesting trends. More research is needed to further illuminate the link between teacher-student rapport and students’ enrollment in optional HPE classes.