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In higher education institutions, virtual learning systems (VLSs) have been adopted, and are becoming increasingly popular among educators. However, despite this ubiquity of VLS use, there has not been widespread change in pedagogic practice to take advantage of the functionality afforded by VLSs. Knowledge of the actual usage of e-learning systems is limited in terms of what specific feature sets are deemed useful, and how this influences system usage. VLSs have a suite of tools with associated functions/features and properties, as well as non-functional system characteristics. In addition, these systems incorporate pedagogic features to cater for online teaching. Educators in higher education, who are the chief agents of e-learning, are confounded by system-related, pedagogic, organisational, user difference and demographic factors that influence VLS usage. Virtual learning system usage involves system feature usage extent and frequency, total system usage and usage clusters. The aim of this study is to develop a model representing the factors that influence usage of VLSs in higher education. The links between system usage and system-related factors, pedagogic factors, organisational factors, user-difference and demographic factors is researched. This research incorporated a literature study, a pilot study, interviews and surveys. A case study research strategy was combined with a mixed methods research design. The results of the qualitative analysis was triangulated with the findings of the quantitative analysis and compared to the findings of the literature study. The study was conducted at two residential higher education institutions (HEI), namely, University of KwaZulu-Natal and Durban University of Technology. The main contribution of this study is the Virtual Learning System Usage Model (VLSUM) representing the factors that influence VLS usage in residential higher education institutions. The proposed VLSUM is based on the empirical results of this study. VLSUM can be used by managers of educational technology departments and instructional designers to implement interventions to optimize usage. The constructs of VLSUM confirmed existing theories, replicated and synthesised theories from different fields, and extended existing models to produce a new model for understanding the factors that influence VLS usage in higher education. / Computing / D. LITT. et. Phil. (Information Systems)

The teaching model in Open Distance Learning is moving towards fully integrated information and communication technology applications, therefore, academic lecturers need to have a strong comfort level with the use of technology tools. The academic lecturers are qualified and experienced subject matter experts but this does not translate to having the necessary technical competencies to do online teaching. They consequently could experience feelings of incompetency to facilitate courseware on a technology platform. The study identified the factors that influence the user experience when using a Learning Management System (LMS) in an academic institution. The research design comprises a convergent, parallel design mixed-method case study. A literature review was conducted to abstract the factors that influence the user experience into a conceptual framework. An expert review was conducted to validate the conceptual framework and then a questionnaire-driven survey was performed. The quantitative analysis of the survey results revealed that eight of the nine factors proposed in the conceptual framework do have an influence on the perceived user experience of the academic when using the LMS. The qualitative analysis revealed that all nine of the identified factors do have an influence on the perceived user experience of the academic when using the LMS. The contribution of this study is to present a conceptual framework of the factors that influence the user experience of the academic when using an LMS to improve our understanding of the experience of the academic and the practical challenges involved for academics that have to facilitate learning in an online environment The findings should be of interest to developers of LMSs and to institutions in support and training of academics that have to use the LMS. / School of Computing / M. Sc. (Computing)

In higher education institutions, virtual learning systems (VLSs) have been adopted, and are becoming increasingly popular among educators. However, despite this ubiquity of VLS use, there has not been widespread change in pedagogic practice to take advantage of the functionality afforded by VLSs. Knowledge of the actual usage of e-learning systems is limited in terms of what specific feature sets are deemed useful, and how this influences system usage. VLSs have a suite of tools with associated functions/features and properties, as well as non-functional system characteristics. In addition, these systems incorporate pedagogic features to cater for online teaching. Educators in higher education, who are the chief agents of e-learning, are confounded by system-related, pedagogic, organisational, user difference and demographic factors that influence VLS usage. Virtual learning system usage involves system feature usage extent and frequency, total system usage and usage clusters. The aim of this study is to develop a model representing the factors that influence usage of VLSs in higher education. The links between system usage and system-related factors, pedagogic factors, organisational factors, user-difference and demographic factors is researched. This research incorporated a literature study, a pilot study, interviews and surveys. A case study research strategy was combined with a mixed methods research design. The results of the qualitative analysis was triangulated with the findings of the quantitative analysis and compared to the findings of the literature study. The study was conducted at two residential higher education institutions (HEI), namely, University of KwaZulu-Natal and Durban University of Technology. The main contribution of this study is the Virtual Learning System Usage Model (VLSUM) representing the factors that influence VLS usage in residential higher education institutions. The proposed VLSUM is based on the empirical results of this study. VLSUM can be used by managers of educational technology departments and instructional designers to implement interventions to optimize usage. The constructs of VLSUM confirmed existing theories, replicated and synthesised theories from different fields, and extended existing models to produce a new model for understanding the factors that influence VLS usage in higher education. / Computing / D. LITT. et. Phil. (Information Systems)

This research examined lecturers’ perspectives on the academic use of Facebook, specifically for teaching, in a higher education institution in Gauteng, South Africa. A survey research design was followed, and semi-structured interviews were conducted. The study sought to fill the gap in the Social Networking Sites literature by focusing on lecturers’ perspectives, ascertaining how lecturers use Facebook as an academic teaching tool and determining the advantages and disadvantages thereof, and attempting to add to the debate on whether or not higher education settings could add the use of Facebook to their range of practices that may enhance teaching. The sample comprised fourteen respondents. It has emerged that lecturers are not, for the most part, utilising Facebook as an academic teaching tool. Based on the findings, a framework on how lecturers could integrate Facebook into academia is proposed. / Computing / M. Sc. (Computing)

MCom / Department of Business Management / See the attached abstract below