Please use this identifier to cite or link to this item: https://etd.cput.ac.za/handle/20.500.11838/1215
Title: Developing and implementing an information communication technology model for a primary school
Authors: Arderne, Meagan 
Keywords: Information technology -- Study and teaching (Primary) -- South Africa;Computer-assisted instruction -- Study and teaching (Primary) -- South Africa;Education (Primary) -- Data processing -- South Africa;Educational technology -- South Africa
Issue Date: 2008
Publisher: Cape Peninsula University of Technology
Abstract: While the necessary Information Communication Technology (ICT) infrastructure at the Holy Cross Sisters' School (HCSS) has been established, there has been little evidence of the successful integration of ICT into the school. While traditional teaching methods are still being practiced, ICT integration into the curriculum has been non- existent and mundane administrative tasks are still being performed manually. Furthermore, management has no real vision in place with regards to ICT integration at the school. Due to the fact that the HCSS has not optimally used its ICT capabilities results in administrative processes being inefficient and impacting adversely on the quality of the education provided. The objectives of this research study are to develop a model that mitigates the research problem with focus on improving administrative processes, integrating ICT into the curriculum, and combining ICT with traditional teaching methods to exponentially improve upon the efficiency of teaching and learning. The research methodology for this dissertation will fall within the ambit of action research, using both qualitative and quantitative research paradigms. The research question that will form the crux of this dissertation reads as follows: 'What mechanistic approach can be deployed at the HCSS to integrate ICT within the organization to improve the quality of education and improve on the efficiency of internal processes?' Observations, focus groups and a survey will serve as data collection methods for this research. Data collected will be analyzed using descriptive and inferential statistics.
Description: Thesis (MTech (Quality (Faculty of Engineering) Cape Peninsula University of Technology, 2008.
URI: http://hdl.handle.net/20.500.11838/1215
Appears in Collections:Industrial and Systems Engineering - Master's Degree

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