Information and Communication Technology (ICT) is yet to penetrate Zimbabwean schools. However, several programs in 2009 and 2011 tried to promote the teaching and learning of science and mathematics in schools through new technologies. Based on the Technology Acceptance Model (TAM), the study aims to assess the effect of technology self-efficacy and prior ICT experience on Zimbabwean in-service science teachers' acceptance of digital videos in science education as required by the demands of the updated curriculum. Quantitative analysis was used to gather data from sixty-three Zimbabwean in-service science teachers. The study has shown a positive effect on the perceptions of the TAM on both technology self-efficacy and prior ICT experience. The study recommends teacher training in the use of ICT, particularly digital videos for the effective teaching and learning process.
The purpose of the study was to model the clustering of COVID-19 in Bulawayo, Zimbabwe. A cross-sectional study design was used to provide a snapshot of the occurrence of COVID-19 in Bulawayo at a particular time. About 246 COVID-19 cases were randomly selected from the list of cases that occurred in Bulawayo as of 1 August 2020. The data was analyzed in ArcGIS using spatial autocorrelation and hotspot analysis. From the observed pattern, the results demonstrated a significant overall spatial autocorrelation and clustering of COVID-19 cases in Bulawayo. The hotspot analysis showed hotspot localities around the Western Suburbs such as Nkulumane, Cowdry Park, and Luveve. These are high-density suburbs, endorsing that pattern of COVID-19 infections is related to the population density pattern in Bulawayo. In conclusion, hotspot areas detected in this study can help identify future infectious disease surveillance.
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