The current study, initially aimed to explore the problem solving skills of the sixth grade students within the four-process problem solving framework including the processes of understanding the problem, devising a plan, carrying out the plan, and looking back and evaluating. Secondly, it aimed to investigate the relationships between student and teacher related characteristics and problem solving skills of the students. In the study, a model was proposed based on the related literature and this proposed model was tested by using hierarchical linear modeling (HLM) technique. A total of 2562 sixth grade students from 37 public elementary schools in the eight central districts of Ankara completed a problem solving skills test developed by the researcher and a student questionnaire. At the same time, mathematics teachers of the students participated in the study completed a teacher questionnaire. The results indicated that in general the sixth grade students displayed low performance in the overall problem solving skills test. Moreover, the students performed best in the process of understanding problem whereas they showed the worst performance in the process of looking back and evaluating. The results of the hierarchical linear modeling technique indicated that the student characteristics significantly and positively related to the problem solving skills of the sixth grade students were socioeconomic status, mathematics self concept, extrinsic motivation, use of control strategies, preference for competitive learning situation, and teacher support, on the other hand student level characteristics significantly and negatively related to the problem solving skills of the sixth grade students were mathematics anxiety, giving homework, activities related with homework, and different types of homework. Furthermore, the teacher level characteristics significantly related to the problem solving skills of the sixth grade students were only teacher gender and perceptions about limitations aroused from students. The characteristic of perceptions about limitations aroused from students was negatively related to problem solving skills of the students on the other hand teacher gender was found to be related to problem solving skills of the students in favor of female teachers. It was also found that there was no teacher level characteristic influencing the relationship that was between student level characteristics and the problem solving skills of the students.

Doctor of Philosophy(PhD) / This research develops a theory to explain the pathways taken by students through higher education in Australia. From a socio-ecological perspective, pathways are conceptualised as a diverse series of choices within learning contexts. In relation to Australian higher education, the model of pathways through undergraduate courses emphasises contexts in which personal and social factors contribute to the choices students make over time. A new method identifies and documents longitudinal pathways of progression through university degree courses. Higher education population data was examined over time to test the Pathways Theory of student progression. This unique detailed longitudinal approach documented all the pathway choices made by a cohort of students as they progressed in and out of their courses over time. Pathways were documented to the point of departure from a course and beyond, to include the extended pathways of students who returned to their courses following stop-outs and transfers. The results highlight the importance of a longitudinal approach in explaining pathways through specific course contexts. This research underlines the importance of considering context and diversity in student behaviours when using indicators of performance, retention and completion. Understanding the relationship between the personal and social characteristics of students and their specific learning contexts contributed to an understanding of the choice behaviour of students as they negotiated pathways through courses within the broader context of higher education. [Information on pages 271-275 has been removed from the digital version of this thesis for copyright reasons. The full print version of this thesis is available in The University of Sydney Library: Robinson, R. A. (2006). Pathways in Context: Background Characteristics and Demographics in Student Progression through Higher Education. PhD Thesis. The University of Sydney, Sydney.]

The purpose of this study was to examine differences and relationships in student definition and background characteristics, help seeking behaviors, academic and environmental variables between and among community college students at a single institution who successfully completed and those who did not complete online courses during a single term. An adapted version of Bean and Metzner's conceptual model of nontraditional student attrition provided the theoretical framework for the study. The results of data analysis revealed statistically significant differences between completers and noncompleters on the basis of definition, gender, ethnicity, experience and prior GPA. Statistically significant relationships were found between definition, ethnicity, gender, experience, prior GPA, orientation and completion and noncompletion. No statistically significant interactions were found between definition and experience and help seeking behaviors. No statistically significant differences, relationships or predictor variables were found by degree seeking, preassessment, or technical help seeking. Additional analyses by defining characteristics revealed statistically significant differences between completers and noncompleters on the basis of residency, age and enrollment status. Predictor variables found to be significant were definition, gender, experience, prior GPA and orientation. The odds of completion increased with nontraditional definition, female gender, higher prior GPA, and orientation participation. The odds of completion decreased with experience.

No description available.

High nursing student attrition has been a pervasive problem in the nursing program at the research site of this study. The purpose of this project study was to investigate the relationship between attrition and nursing student characteristics, including age, gender, ethnicity, English as Second Language (ESL) background, licensed practical nurse (LPN) licensure, grade point average (GPA), the number of preadmission college credits, and the Test of Essential Academic Skills (TEAS) scores. This correlational study of archival data was guided by Jeffreys's nursing undergraduate retention and success model and included a convenience sample of 240 students admitted to the program between the Spring 2011 and Fall 2013 semesters. Point biserial and phi coefficient statistical analyses indicated that significant relationships existed between attrition and ethnicity, GPA, TEAS scores, college credits, and LPN status. There were no significant relationships between attrition and age, gender, and ESL background. Student characteristics correlated with higher attrition included ethnic minority background, more college credits, lower TEAS composite and math scores, lower GPA scores, and not having LPN licensure. These research results were the basis for policy recommendations for changes to the admission process within the nursing program and for early identification of students at risk for attrition, with the goal of providing early supportive measures. The overall goal of the policy recommendations was to decrease attrition at the local research site, which may help foster positive social change by promoting the educational and professional progress of nursing students. Nursing student attrition can negatively affect a nursing program's finances and reputation. For students, attrition represents lost time, lost finances, and a limited possibility for achieving socioeconomic progress.

This study examined how student characteristics could be used to predict whether or not a community college student would persist in an online course. The research question guiding the study was, “Which student characteristics can be used to best predict the persistence of community college students in online courses?” The student characteristics examined were learning style, locus of control, computer experience and access, previous online experience and demographics. A survey instrument consisting of two previously developed instruments and a Computer Experience scale that was created by the researcher specifically for this study, was administered to online students at one Florida community college for the pilot study and five additional Florida community colleges for the full study. Confirmatory and exploratory factor analysis were conducted on the computer experience scale to determine if there was an underlying hidden structure. Stepwise logistic regression was completed to determine the student characteristics that were significant predictors of online persistence, as well as an equation that could be used to predict whether or not a community college student would persist in an online course. Confirmatory and exploratory factor analysis revealed that the Computer Experience scale consisted of three underlying subscales. The researcher named the three subscales based on the similarities of the variables that were associated with each factor: Factor one (basic computer skills); Factor two (Internet/email skills); Factor three (interactive computing skills). Three of the initial 25 predictor variables were found to be significant predictors of community college online persistence: GPA, auditory learning style, basic computer skills. An increase in both auditory learning style and basic computer skills was associated with a decrease in the odds of course persistence. On the other hand, an increase in GPA was associated with an increase in the odds of course persistence. Additionally, an equation to predict whether or not an online community college student would persist in an online course was developed. Implications for community college administrators as well as recommendations for future studies are also provided in the study. / Dissertation / PhD

The purpose of this non-experimental quantitative case study was to compare the academic success of community college students over three academic years (2016-17 through 2018-19) before the onset of COVID-19 based on final grades and the influence of student factors, class size, and faculty characteristics using archival data from selected online and on-ground classes at a Middle Tennessee community college. Student factors reviewed include gender, full-time or part-time status, and age (traditional or non-traditional status). Instructor characteristics reviewed included full-time or part-time (adjunct) teaching status and tenure or non-tenure status of faculty. Institutional data for this study consisted of 44,568 student records comprising 34,006 on-ground classes and 10,562 online classes. For the percentages provided, audit and incomplete or missing data were excluded. In this study, the mean grade point average (GPA) of all students with prior GPAs was 2.7. Unique student registrations totaled 13,400 students and unique instructors totaled 198. Eight research questions were answered from these data using Chi-square statistical tests. The final study showed a variety of results. When comparing student success for online and on-ground, online students were generally more likely to be successful, while on-ground students were generally more likely to be unsuccessful. In online courses, female students, part-time students, and non-traditional students were more likely to be successful. Class sizes fewer than 11 were generally more likely to produce successful students. Successful students were generally more likely to be taught by full-time faculty and tenured faculty.

The enrollment of military/veteran students at U.S. colleges and universities is growing steadily; however, factors affecting their academic success need further investigation. Guided by Tinto's student integration model and Bean and Metzner's model of nontraditional student attrition, the relationships between student characteristics and academic success for military/veteran, and civilian students were investigated. For this nonexperimental study, preentry characteristics (military/civilian status, race/ethnicity, age, gender, transfer credits) as well as 1st-year academic performance (total terms attended and grade point average [GPA]) archived in 393 students' records were examined to determine whether these variables predicted 4 student success measures: retention after 1 year, associate degree (AA) within 4 years, bachelor's degree (BA) within 8 years, and final GPA. Binary logistic regression and ordinary least squares multiple regression were conducted for the 3 retention/graduation measures and GPA, respectively. Significant findings indicated that Black students were more likely than White students to complete both AA and BA degrees and military, but not veterans, were more likely than civilians to earn AA degrees. Age was a positive predictor for earning a BA degree and a higher final GPA; transfer credits and total terms attended predicted student retention and AA degree completion; first-year GPA only predicted final GPA. Based on outcomes from this military-focused college, which showed the academic potential of two student groups often deemed less academically successful (military and Black students), colleges that focus on military students' success can better prepare these students for degree completion.

This study is a qualitative examination of community college students' experiences taking on-line courses. The study addresses the research question, "How do community college students construct their on-line experiences?" In order to answer this question, the following foci were examined: What are the characteristics of students taking online courses?, Why are they taking on-line courses?, What are facilitative or debilitative dimensions or features that promote or inhibit success in on-line courses?, and, How does the community college infrastructure support students taking web-based courses? The results of the study were grouped into 4 categories: Interpersonal Support, Student Characteristics, Course Issues, and Infrastructure Support. All but 2 of the findings of the PRCC Study are supported by research. The first factor not mentioned in the literature is that some students choose to take a course on-line if they are not interested in the content of the class. The second finding not implicated in the research is that electronic distractions of Instant Messaging™ and the lure of surfing the Web seem to be more debilitating than interruptions from other sources such as family and work. Other implications of this study involve concerns that are common to both on-line and on-site instruction, as well as the connection between constructivism and on-line learning. Facilitative and debilitative dimensions or features that promote or inhibit success in on-line courses imply that faculty and institutions need to be adapting to the demands of teaching and learning on the Web. Implications of the Study examine improvements to the study and ideas for future research. / Ph. D.

This study serves two major purposes. First, it explores and validates attributes, dimensions and constructs that can be used to measure service quality in Ethiopian public higher education (EPHE) context. Second, it examines the interplay among the major service quality constructs and student related variables in search of a comprehensive theoretical framework for HE service quality. The study started its investigation by formulating a set of research questions that explore attributes, dimensions and constructs essential to measure service quality (RQ1), test for the measurement model fit (RQ2), examine the relationships or associations among the four service constructs and characteristics of students (RQ3), test for the structural model fit (RQ4), determine the causal relations among the variables in the structural model (RQs4.1 - 4.7), and assess service quality performances of EPHE institutions (RQ5). A mixed methods study with the qual-QUAN exploratory sequential design was employed to empirically answer the research questions. Fifteen interviewees took part in the qualitative phase. The interviews were analysed employing thematic analysis and narration of verbatim accounts. Three levels of themes that represent attributes, dimensions and constructs of service quality were identified and used to develop a questionnaire designed to measure service quality more objectively. The questionnaire was piloted at a pilot site involving 460 undergraduate students and its psychometric properties were determined. The main study was carried out in three universities selected from a target population of seven first generation public universities employing lottery sampling method. Concurrently, four programmes were chosen from a target population of 27 commonly offered programmes in the three sample universities employing systematic random sampling. Considering different batches and the four programmes as strata, 1412 undergraduate students were included in the main study using proportionate stratified random sampling technique. Descriptive and inferential statistics including factor analysis and structural equation modelling (SEM) were employed to address the research questions. The results from the qualitative and quantitative phases show that service quality can be measured by four constructs, of which three are multi-dimensional and one is a single dimensional construct. The four factor measurement model fit analysis resulted in an acceptable fit indices (i.e., CMIN/DF = 4.398, GFI = .915, CFI = .951, RMSEA = .049 and PCLOSE =.743) after some re-specifications and confirmed the structural validity of the instrument. Mixed results were obtained with regard to the correlations/associations between student characteristics and service quality constructs. After some re-specification, a structural model for the four service quality constructs and nine student related variables were identified with an acceptable fit indices (CMIN/DF=3.856, GFI=.901, CFI =.934 and RMSEA=.045, p=1.000). The path analyses also revealed that loyalty is a latent construct with 62% of its varaince predicted by the joint effects of percieved service quality, satisfaction and perceived gain. Each of these predicator latent constructs are also explained by some other control varaibles and latent constructs that have a predictive power ranging from 12% to 60%. Students perceived the current status of service quality in EPHE institutions as daunting in all constructs of service quality except perceived gain. Finally, conclusions pertinent to the measurement instrument and understanding of HE service queality are drawn, and recommendations that have theoretical and practical implications are forwarded. / Educational Leadership and Management / D. Ed. (Education Management)