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Online education is the fastest growing form of course delivery of higher education in the United States. It has revolutionized how students and instructors interact in the educational process. Yet students in online courses continue to experience higher attrition rates than their counterparts in traditional face-to-face classes despite the advantages offered by the technology. This study examined the impact that institutional policies and practices at community colleges in the state of Texas have had on student persistence in online courses. It also examined how institutions collect and use data in addressing students' attrition. The findings were used to identify the most effective institutional practices to share with community college systems in Texas in an effort to improve student persistence in online courses across the state. The population for the study consisted of the 50 public two-year community college and the technical college systems in the state of Texas. The study used a mixed method. A theoretical model of institutional impact on online persistence was drawn from the literature review. This model's five categories were then used to construct a survey to collect data on institutional practices and measure the effectiveness in addressing student persistence. Four college systems were identified using the survey data that best met the five categories. Interviews were then conducted at these four college systems to produce case studies of these institutions' practices and experiences with online persistence. The results highlighted the roles that institutions play in promoting student persistence in online programs. They revealed differences in the ways institutions define and track student success in online programs and the difficulty these differences pose in comparatively evaluating various institutions' programs. Results lent support to the theoretical model of institutional impact on online persistence that was developed for this study, and results yielded a proposed list of promising practices to enhance student persistence in online programs in public two-year community and technical colleges.

The purpose of this thesis is to present a history of the establishment and growth of the Crozier Technical High School in Dallas, Texas, with special emphasis placed upon technical phases of the school curriculum and the concrete outcomes in terms of actual results ascertained from the graduates.

This study examined the relationship between Career and Technical Education (CATE) and the Academic Excellence Indicator System (AEIS), the measure of school and learner success in Texas. CATE, an established program, traditionally encourages student achievement and perpetuates best educational practices. AEIS data was collected by the Texas Education Agency. In addition, a survey was used to measure CATE effectiveness and the relationship between effectiveness and AEIS performance. Two-factor mixed repeated measures ANOVAs were used to observe group differences over time. CATE and non-CATE exit level TAAS scores for reading and math at the district level were analyzed for 2000, 2001, and 2002. CATE students had higher group means but there was not statistical significance indicating that CATE students performed as well as non-CATE. Two-factor mixed repeated measures ANOVAs were also used for analysis of differences at the district level for attendance, dropout rates, and graduation rates. There were higher group means for attendance for CATE students and there was also statistical significance indicating that CATE students attended more often then non-CATE students. There was a lower group means for dropout rate and there was also statistical significance between groups over time. This was an inverse relationship indicating that CATE students dropped out less often then non-CATE students at a statistically significant level. The graduation rate analysis showed a higher group mean for CATE students but not statistical significance. CATE students graduated at the same rate as the non-CATE group. Pearson's r was used to correlate the relationship of the effectiveness of CATE programs with AEIS results. There was no statistical significance for reading and math TAAS exit-level tests with CATE effectiveness scores. Again there was no statistical significant relationship between CATE effectiveness and attendance and graduation. However there was statistical significance between CATE program effectiveness and dropout correlation for 2001.

The purposes of this study were to identify the factors influencing industrial-technical students in the choice of major area of study, to determine if certain areas were more influential when these students elected a major, and to provide information for industrial arts teacher-preparation programs that would aid in determining the reasons for the current industrial arts teacher shortage. From the study of factors influencing the student's choice of major, one may conclude that there is a definite need in the state of Texas for students to major in industrial arts education. One may also conclude that at the high school level, the industrial arts class and the industrial arts teacher have positive influences on the student when the student selects a college or university major. Perhaps the most significant conclusion is that the existence of an industrial arts teacher shortage is, in part, due to the fact that teaching salaries are not competitive with salaries offered by industry.

Self-concept, discussed as a scholarly topic since the time of Socrates and Plato, is an important theoretical construct in education because self-concept is considered to be a desirable trait and a facilitator of positive future behavior. The purpose of this study was to examine the relationship between the characteristics of students enrolled in career and technical education (CTE) programs and students' self-concept scores as measured by specific subscales from the Self-Description Questionnaire (SDQ). A total of 196 male and 89 female secondary students (Grades 9-12) enrolled in arts, audio/video technology and communications cluster courses in North Central Texas school districts participated in the study. Student characteristic variables of interest were age, gender, CTE program enrollment, and participation in CTE. The self-concept subscales analyzed were General, Academic, Verbal, Math, and Problem Solving. A canonical correlation analysis was conducted using the four student characteristic variables as predictors of the five self-concept variables to evaluate the multivariate shared relationship between the two variable sets. The full model across all functions explained about 23% of the variance between the variable sets. Function 1 explained 15% of the shared variance and Function 2 explained 7% of the variance that remained. This study detected a relationship between specific student characteristics and self-concept as measured on certain domain-specific first-order factors. Gender and participation in CTE were found to be related to verbal self-concept and problem-solving self-concept. Results suggest that females in arts-based CTE programs have a higher verbal self-concept than their male counterparts; male students have a higher problem-solving self-concept. Results further suggest that students with a high level of participation in CTE also have high verbal and problem-solving self-concepts.