Thesis (MTech (Business Administration))--Cape Peninsula University of Technology, 2018. / This study investigates students’ perception of factors that contributed to dropouts at a selected FET college. Despite receiving government funding, drop-out continues to increase. An understanding of perceived factors influencing drop-out rate would help to develop and deploy retention strategy for FET college students. Previous studies on drop-out shows that students that have dropped out are more likely to be unemployed and living in poverty compared to those students that have successfully completed their programmes. In 2006 the Minister of Labour declared that FET Colleges in South Africa have a major role to play in assisting youth in gaining skills and thereby halving poverty and the unemployment rate by the year 2014. This declaration highlights the importance of FET colleges and amplifies the need for a strategy to maximise students’ retention and minimise drop-out rate. This study utilise a random sampling method to select respondents. Data were collected using a questionnaire with a quantitative approach and designed in a Likert scale format. The study was limited to students at West Coast FET College’s campuses namely: Atlantis, Vredenburg, Malmesbury and Citrusdal. One hundred and fifty students were used as respondents and data were gathered from the questionnaires. The findings derived from the data revealed that multiple factors are perceived to be the cause of high student dropout. These factors are lack of finances for transport and accommodation especially for the first years and social context of individual learners. The study concludes that although finance and social context of individual learner are perceived drop-out factors, other personal attributes like learners’ attitude to learning and commitment also plays a role in students drop-out and drop-out intention.

This study investigates the retention and dropout of mechanical engineering students at a FET college using the interpretivist paradigm. Three key questions are addressed: / Thesis (M.Ed.) - University of KwaZulu-Natal, Pietermarizburg, 2008.

The study is about factors that influence students‟ choice of a campus and how those choices influence students‟ decision to complete their courses. Since FET colleges have campuses with different historical backgrounds and unique characteristics, they offer specialised programmes according to the resources they have, relevant to their geographic location. The research focused on answering the following questions 1) What factors influence students‟ choice of campus? 2) What factors influence the students‟ completion or non-completion of courses? The aim of these questions was to determine what currently influences the students‟ choice and what kind of information or sources do students use in their study choice decisions. Some related researchers in other contexts have shown that there is a link between education and socio-economic factors. This study has been primarily informed by Tinto‟s (1987) theory on student retention and no-completion of courses, which suggested that non-completion is a result of a mismatch between the social/academic background, intentions and goals of the student and their institution‟s ability to meet those goals. Chapman‟s model of choice (1991) enabled him to indicate some factors, which influence student‟s choice. The aim of using the model was to check if the same influential factors were important for the current FET students in South Africa. A number of available studies have focused on the student, significant others in their lives, parents and teachers, as well as marketing of colleges or recruitment of students as factors influencing the choice. There is little literature that looks at how the fixed college factors such as program availability, location and reputation influence students, which is the focus of this research. This study falls into an interpretive paradigm and is qualitative in nature. Data has been collected using questionnaires and semi-structured interviews conducted among students of different campuses in one FET College. The sources of information are current students, those who dropped out and students who have completed their courses. Data collected show that the costs factor, academic achievement and significant others influence students‟ choices. / Thesis (M.Ed.) - University of KwaZulu-Natal, Pietermaritzburg, 2009.

Higher Education retention rates in South Africa are among the lowest in the world. At the Nelson Mandela Metropolitan University, a trend has been noted for National Higher Certificate (NHC) students within the Faculty of Business and Economic Science’s School of Accounting. Dropout rates have increased and graduation rates have declined for students studying NHC programmes. Retention and dropout studies have rarely been undertaken for accounting students in higher certificate or diploma programmes, which provided the motivation for this study. The study aimed to determine the dropout and retention rates of NHC students and to identify the demographic and other characteristics of dropout students relative to those who persist with their studies. Furthermore, the study identified potential barriers to academic success in the sample. An exploratory descriptive research approach was adopted to achieve the general and specific aims of the study. Data were obtained from Management Information Services about NHC dropout students and students continuing with their studies for the period 2005 to 2009. Furthermore, information was gathered for separate samples from a Language Questionnaire and the Learning Enhancement Checklist (LEC) regarding barriers to student success. High dropout rates were found in that more than half of the students dropped out. Correspondingly, the retention rates were low. The findings for the gender, cultural and language groups were interesting but no definitive conclusions could be reached regarding trends related to student dropout and retention in relation to these biographical variables. Performance in Financial Accounting I and II yielded interesting trends. Students at risk for dropping out obtained a mark of 50 percent or less on average for Financial Accounting I and 40 percent or less for Financial Accounting II. The analysis conducted to determine barriers to student success revealed that students did not prepare adequately for lectures; experienced certain difficulties in lectures, tests and VIII exams; found it difficult to manage their studies and time; and experienced financial and psychological problems. The findings of the study can be used to identify students who might drop out at an early stage. Furthermore, the findings can guide the nature of the development and support that NHC students need to succeed. The limitations of the study are noted and suggestions are made for further research into the factors related to student dropout and retention in the field of accounting.

Using Tinto‟s (1993) interactionalist theory of student retention and Beatty Guenter‟s (1994) students retention strategy as guiding lenses, this study investigated the implementation of five student retention programmes in two universities in South Africa. Specifically the study sought to interrogate a) the mechanisms used to select students and peer facilitators who participate in each of the programmes, b) the delivery strategies that are in place and c) the programme monitoring and/or evaluation mechanisms in place to ensure that programme goals are achieved. The study adopted a concurrent mixed design embedded in the post positivist paradigm. The study revealed minimal student participation in all programmes, including those that were compulsory, owing to inconsistent enforcement of policies, stigmatisation, and poor perceptions about these programmes. In addition, the study found challenges in selection, support and monitoring of peer facilitators in almost all the programmes. This was linked to limited qualified staff, high dependence on borrowed delivery models and poor co-ordination among stakeholders. The study through a proposed Comprehensive Model for Student Retention, suggested collaborated and intensive and ongoing training of all facilitators in functional literacies, basic counselling and handling diversity, as well as co-ordinated selection and monitoring of the five programmes.

Bibliography: pages 85-87. / A simplified cohort survival analysis was used to investigate the academic progression of first-time entering undergraduate students within four large bachelors' degree programmes at the University of Cape Town. The rates of graduation, academic exclusion and voluntary drop-out were quantified in relation to the matriculation authorities and prior matriculation performance of the students within each of the four cohorts. The results of the analyses served to identify specific areas of concern with regard to the internal efficiencies in student progression through each of the four degree programmes, and it is suggested that the availability of information of this type will be essential in the attainment of the institutional transformation goals set out in the 1997 White Paper on the transformation of higher education in South Africa. Significant relationships between the matriculation criteria and the final academic outcomes of students within each cohort were detected using log-near modelling. By means of multiple discriminant analysis, significant predictor variables of the final undergraduate academic outcomes within each cohort were identified. However, the relatively weak discriminatory powers of the multiple discriminant models and the poor predictive accuracy of the associated classification functions suggest the variables included in these analyses did not adequately explain the variability in the final undergraduate academic outcomes of students within the selected cohorts. The extent of the voluntary drop-out phenomenon within each of the cohorts was quantified in relation to matriculation criteria, and further analysis of the cohorts indicated that factors other than academic difficulty appeared to have prompted the greater proportion of the voluntary withdrawals. Those students who had dropped out voluntarily were therefore not included in either the log-linear models or the multiple discriminant analyses.

M. Tech. Business Information Systems / Improving throughput rates is a key challenge facing South African higher education. Throughput rate is the number of students that can be produced over a period of time such as a semester or a year. Low throughput rates have a huge impact in funding higher education, because it determines how much funding organisations should invest in sponsoring students. Problems caused by low throughput rates include overcrowding of students in class, withdrawal of funding by funding organisations, reduction in the workforce of the country and poverty. The major objective of this study was to investigate the Business Intelligence (BI) components of the Integrated Tertiary Software (ITS), how it is used by universities to improve throughput rate.

In South Africa there is an increasing concern regarding retention among Black students (who constitute the majority of the population) in general and in particular regarding the costs of student failure to both the students and for the institution. This thesis endeavours to obtain an understanding of the socio-educational experiences which led to Black Bachelor of Commerce in Accounting Students in 2009 dropping out of Accounting III at the University of Fort Hare. In a field in which much of the literature is quantitatively orientated, a phenomenological investigation offered a unique way of understanding the experiences of the students as it allowed their voices to be heard. Insights contained in the data were synthesised and integrated into a consistent description of the essential nature of the experience, the primary endeavour of the phenomenologist being to transform naïve experience into more explicitly detailed conceptual knowledge. The use of in-depth interviews with three students, all of whom had dropped out of Accounting III at UFH, allowed the researcher interaction on a personal level with people not viewed as experimental objects but as human subjects. The findings revealed that the students‘ social and educational background, together with the language of teaching and learning not being their mother tongue, caused students great difficulty. Interaction between lecturers and students and the subject content proved very challenging due to the language barrier. The introduction of General Accounting III in the same class as Accounting III in 2009 compounded the students‘ confusion and this ultimately led to students feeling demotivated. These findings contributed significantly to an understanding of why these three students dropped out of Accounting III in 2009, and at the same time provided an answer to the research question relating to how Black students who dropped out of the Accounting III programme in 2009, experienced the course.

Thesis (M. Sc. (Statistics)) -- University of Limpopo, 2021 / The ever increasing number of students who drop out of university remains a challenge for Higher Education administrators. In response to this, different studies have been conducted globally in order to identify student retention strategies to fix the problem. However, the challenge continues to prevail year in and year out. Most of the studies conducted in South Africa used statistical methods that ignore the temporal nature of the process of student dropout. This study uses discrete-time survival techniques to model the occurrence and timing of undergraduate engineering student dropout at Tshwane University of Technology (TUT). Discrete-time survival analysis techniques allow for a more appropriate utilisation of the longitudinal nature of institutional data, where the time dependence of the data, time-varying factors and time-invariant factors can all be accommodated in the analysis. The temporal nature of the process of student dropout was analysed for the cohort of students registered in engineering programmes for the first time in 2010 at Tshwane University of Technology using discrete-time survival analysis methods. The cohort was followed for five years from 2010 through 2014, inclusive. Of particular interest was the incidence of dropout, the determinants of dropout, comparison of the single risk discrete-time model with a competing risk discrete-time model, as well as testing for the effects of unobserved heterogeneity. The study used administrative data obtained from the ITS. The logit model was used to estimate the effects of race, gender, Matric performance, performance in Matric Mathematics, residence type, English language status and time on time to dropout with time measured in academic years. A discretetime competing risk model in the form of a multinomial logit model was also estimated to account for the possible correlation between graduation and dropout. A frailty model assuming a Gaussian distribution for the frailty term was also estimated to account for unobserved heterogeneity. The study established that the risk of dropout for nonwhite students is significantly higher than that of white students. Furthermore, it was found that the effects of residence type varied with time. For instance, in the first year students with private based accommodation were more likely to dropout compared to those residing onvi Abstract campus. On the other hand, in the third year students accommodated in private residences were less likely to dropout than those residing on-campus. The findings also indicate that the effect of having English as a first language as opposed to as a second language on the risk of dropout was only significant in the fourth year such that first language English students were more at risk of dropout compared to second language students. The findings also revealed inconsistencies between the estimates from the single risk and the competing risk model. Moreover, the effect of unobserved heterogeneity was found to be insignificant. Recommendations from this study are that discrete-time survival analysis model is more efficient than traditional methods used for analysis of student dropout and should therefore be used for analysis of academic outcomes such as dropout. The model can account for the temporal nature of the process of dropout. Both time-varying and time-invariant explanatory variables can be included in the model.The effects of time-invariant explanatory variables that might have time-varying effects can also be investigated.

Thesis (Ph.D. (Educational Studies)) -- University of Limpopo, 2018 / The primary aim of this study was to investigate the growing rate of dropout phenomenon within the ambiance of higher education and to develop a support model for lower-postgraduate students. Anchored within Maxwell’s (2012) model of qualitative design, this case-study research has employed the deficit theory and the theory of transactional distance to guide the investigation. While the theoretical evidence was garnered through the application of traditional (narrative) literature review design, the empirical evidence was achieved by targeting lecturers, administrative officers and dropout students. These participants were only those who have respectively taught an advanced communication research (COM4809) module which is offered in the department of communication science as part of the honours programme, who have been involved into the administration of the module in the same department and who have dropped out of COM4809 between 2011 and 2016. Purposive selection technique was used to sample distinct units of analysis at various levels. At the first level, the University of South Africa (Unisa) was used as a case ODL university. At the second level, COM4809 was used as an ideal module to demonstrate that dropout is prevalent at an honours postgraduate level within the ODL domain. At the third level, lecturers were also purposively included into the study since they were key informants. With regard to administrative officers, a census approach was adopted to include the only two administrative officers who have been involved in the administration of COM4809 between 2011 and 2016. Dropout students were selected using snowball and purposive sampling techniques. While the purposive selection of dropout students from the given dataset (statistical information) of 219 dropouts, which was requested from the information and communication department (ICT), was used, the snowball selection method came into play when lecturers identified twenty-one dropout students from their personal records and furnishing the researcher with detailed contact information about them. However, the researcher has managed to hold focus-group interviews with a group of six dropout students and telephonic interviews with ten dropout students, summing up to 16 participants. Focus-group interviews were also undertaken with a cohort of eight lecturers while another seven lecturers have participated in the in-depth interviews. Data were analysed through the use of qualitative content analysis method, and O’Connor and Gibson’s (n.d) design viii    to analyse qualitative data was used. To ensure the credibility and dependability of findings, a triangulated approach to data collection and analysis were used. The study unveiled four major themes on dropout factors, namely: dropout factors associated with students’ personal circumstances, with lecturers’ personal circumstances, with institutional (academic) circumstances and with those factors which are determined by circumstances of other units of analysis (other research contexts). The study has further revealed that while the majority of factors can be controlled, others cannot. Based on the findings and the literature, an integrated honours student-centred support model (IHSCM) was developed to serve as a framework within which to understand dropouts of lower-postgraduate students in an ODL institution. Findings have demonstrated the importance of providing support services in an ODL environment and advocate for a holistic approach towards addressing attrition. The proposed model is envisaged to better expound dropout attributes, which lead students to discontinuing their studies in the ODL environment, and to assist ODL institutions to effectively address the concern. ODL institutions, which want to apply the proposed IHSCM, should do that with caution in mind owing to the fact that the model is not yet tested. Hence, it is inferable to suggest that future research should focus on its impact in the reduction of dropouts of honours students in ODL contexts.   Key words: Student dropout (attrition), dropout student, open and distance learning (ODL) institution, Higher education institution, distance education, student support intervention (services, intervention, mitigation strategy) and student support model (framework).