Community engagement principles for implementation of information technology for development by higher education institutions in South Africa
- Authors: Nkombachoto, Jacquiline
- Date: 2017
- Subjects: Information technology Telecommunication Community development
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10353/13171 , vital:39471
- Description: Community engagement in South Africa is now recognised as an integral part of Higher Education Institutions’ (HEIs) educational system. The South African Council on Higher Education requires HEIs to become equitable institutions of higher learning, whereby the activities of the HEI are mutually beneficial for both learners and their communities. This entails that, community engagement activities undertaken by HEIs should be reciprocal in nature. The HEIs should help solve issues affecting their communities, whilst also gaining knowledge through experiential learning. One such way is through undertaking Information and Communication Technology for Development (ICT4D) projects in communities outside the physical boundaries of the HEI. Over the years, HEIs in South Africa have been involved in undertaking ICT4D projects aimed at benefiting their communities. This is because ICTs have the potential to improve and contribute to the development of individuals, businesses, and communities in various ways, be it socially or economically. However, the ICT4D projects have failed or partially succeeded to attain their goals. This study, thus proposes a model for HEI researchers for the successful implementation of ICT4D projects through application of community engagement principles. The proposed model was formulated using the case study approach. Four cases of ICT4D projects were used as sample to help identify factors required for the successful implementation of ICT4D projects by HEIs. Data was collected using semi structured interviews, observations and literature. The data was then analysed using cross case analysis in the form of themes. The findings were that operational community engagement policies, understanding user needs, creation of long term partnerships, synchronisation of timelines and monitoring and evaluation are vital for the successful implementation of ICT4D projects by HEI researchers in the communities.
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Determining and analysing the emergent behaviour from context-aware devices
- Authors: Bandason, Vivian
- Date: 2017
- Subjects: Context-aware computing Mobile computing
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: http://hdl.handle.net/10353/7907 , vital:30805
- Description: With the continued miniaturization of technology and the incorporation of Moore’s law, smartphones are more powerful. These mobile devices contain technologies that add other functionalities to them. Technologies such as sensors constantly provide information to the device. The constant stream of information from these sensors often leads to information overload of relevant and irrelevant information. To work towards solving this problem context-aware computing was introduced. Our major concern is that context information in context aware computing is not completely being utilized. The aggregation of context information could unlock more possibilities. This research seeks to aggregate the context of multiple devices such that, through analysis, some emergent behaviour can be observed. In this research context information from the sensors of devices is collected using an Android application and a central Server. The context information is used for pattern analysis. A pattern analysis algorithm is designed and used to observe patterns throughout the data set. It shows patterns that are similar within the dataset. In the case that the pattern observed has no similar pattern or few similar patterns this behaviour can be stated as emergent in the dataset. Further study of this emergent behaviour can be performed were a classifier can be used to give the exact activities that were being performed at that time. The research found this was possible and has many uses. One of these is in disaster prevention were the behaviour of a group of individuals may be monitored to observe any random changes such as masses running at the same time. This could be used as a first warning to natural disasters.
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The investigation of the role and the efficacy of learning technologies towards community skill development
- Authors: Masikisiki, Baphumelele
- Date: 2017
- Subjects: Web-based instruction Computer-assisted instruction
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: http://hdl.handle.net/10353/5972 , vital:29460
- Description: Research has revealed that during systems design and development of e-learning technologies there is a tendency of neglecting the needs of end users and focus on the design process and the technology factors, and this has traditionally been the reason for poor usability of otherwise well conceptualized systems, as a result a number of IT-based learning tools ended up not being usable and not being utilized effectively. This study aims to investigate the impact of e-learning technologies, how people perceive the usage of e-learning technologies towards community skill development. An evaluation of four different e-learning technologies was conducted to investigate the role and efficacy of e-learning technologies within the surrounding communities. Data was analyzed as nominal data using IBM Statistical Package for Social Sciences (SPSS) software 24. Descriptive analysis, frequency, reliability and correctional analysis and also measures of central tendency were computed. Reliability was evaluated for assessing the internal consistency of the items using Cronbach’s alpha. To analyze the relationship between variables matrices of Pearson’s correlation was used. Pearson’s correlation can only be accepted when the significant effect (P>.05), this indicates that there is a positive or a negative relationship between two variables, if these conditions are not met then the proposed correlation or hypothesis can be rejected. Results indicate a poor perception and poor acceptance of e-learning technologies due to a number of factors, these factors include lack of computer-self efficacy which leads to computer anxiety, affordability of internet connectivity which leads to inaccessible of e-learning technologies. The findings also indicated that LAMS was found to be less useable and less useful by a number of students. However, students who enjoy working in groups found LAMS to be useable because it was supporting their preferred learning style, whereas individualistic students preferred Moodle and Dokeos because it was supporting their personal preferences and assessment styles. Having understood all the characteristics of learning tools, relevant learning technologies that are suitable for students can then be recommended.
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