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   <dc:title>Challenges with student’s registration processes at the Durban University of Technology : a case study of Midlands campuses of Riverside and Indumiso</dc:title>
   <dc:creator>Nzimande, Emmanuel Thabani</dc:creator>
   <dc:contributor>Fagbadebo, Omololu M.</dc:contributor>
   <dc:contributor>Mthalane, Peggy Pinky</dc:contributor>
   <dc:subject>Student registration challenges</dc:subject>
   <dc:subject>Students’ registration processes</dc:subject>
   <dc:subject>Durban University of Technology</dc:subject>
   <dc:subject>Student registration--Education (Higher)</dc:subject>
   <dc:subject>Challenges</dc:subject>
   <dc:subject>Student registration</dc:subject>
   <dc:description>Submitted in fulfillment of the requirements of the&#xd;
degree of Master of Management Sciences in Business Administration, Durban University of Technology, Durban, South Africa, 2022.</dc:description>
   <dc:description>In recent times, student protests over the challenges relating to&#xd;
registration have become rampant in South Africa. Consequently, the&#xd;
development often disrupts academic programmes. The implication of&#xd;
the above is the constant loss of time needed by the students to&#xd;
concentrate on their academic studies and its consequences on the&#xd;
quality of services. The study examined the challenges associated with&#xd;
students’ registration processes and how it moulds the perceptions and&#xd;
expectations of the students in terms of service delivery at the Midlands&#xd;
Campuses of the DUT. This study followed a mixed method for data&#xd;
collection and analysis. The questionnaires were distributed to 360&#xd;
students and interviews were conducted with four staff members of the&#xd;
Student Administration Department of the Midlands campuses of&#xd;
Indumiso and Riverside. The researcher used descriptive statistics&#xd;
based on data collected by using Statistical Package for the Social&#xd;
Sciences Software (SPSS version 2.0) to analyse the quantitative data.&#xd;
The data that emerged from the interview were deductively coded with&#xd;
the aid of software (NVIVO version 12). The quantitative factor loading&#xd;
reveals a strong loading above the recommended value of 0.5 while the&#xd;
confirmatory Factor Analysis (CFA) revealed a good fit in the model.&#xd;
However, the findings from the students indicated that Student&#xd;
Administration staff were not exactly meeting the desired and expected&#xd;
registration services. The SERVQUAL dimensions indicated gaps of&#xd;
0.58 in reliability, responsiveness, and empathy. The qualitative&#xd;
analysis discovered several registration challenges, including NSFAS&#xd;
late payments, which affected late account clearance for registration,&#xd;
incorrect module selection for registration, and incorrect biographical information capturing. It was recommended that the Student&#xd;
Administration Department of Indumiso and Riverside campuses&#xd;
should endeavoured to bridge the gap identified by SERVQUAL&#xd;
dimensions. The department should improve communication services&#xd;
to students. On-time NSFAS payment and student account clearance&#xd;
was recommended to avoid delays and challenges during registration.&#xd;
Proper creation of academic structure from the system was&#xd;
recommended to avoid incorrect module registration. Student&#xd;
biographical information should be always up to date to improve&#xd;
communication with students.</dc:description>
   <dc:description>M</dc:description>
   <dc:date>2023-04-24T07:25:56Z</dc:date>
   <dc:date>2023-04-24T07:25:56Z</dc:date>
   <dc:date>2022</dc:date>
   <dc:type>Thesis</dc:type>
   <dc:identifier>https://hdl.handle.net/10321/4714</dc:identifier>
   <dc:identifier>https://doi.org/10.51415/10321/4714</dc:identifier>
   <dc:language>en</dc:language>
   <dc:format>166 p</dc:format>
   <dc:format>application/pdf</dc:format>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>