Moderating Effect of Environmental Factors on the Relationship between Project Risk Management Practices and Implementation of Technology Integration in Public High Schools in Kenya
This study focused on establishing the moderating effect of environmental factors on the relationship between Project Risk Management practices and the implementation of Technology Integration in high schools in Kenya. Data for the study were gathered from 189 out of the 373 public high schools located in Kiambu and Nairobi counties. A cross-sectional descriptive design was employed, utilizing both quantitative and qualitative approaches for data collection, analysis, and reporting. Stratified sampling was used to select schools that actively employ Technology Integration in their educational practices. The study employed a combination of structured closed and open-ended questions in the questionnaires administered to the managers and teachers responsible for technology integration, as well as interviews conducted with the principals of the corresponding schools. Both descriptive and inferential statistics were performed. Correlation analysis was applied to assess the relationships between quantitative variables. The decision to accept or reject the null hypothesis for each pair of variables was determined based on the p-value, with p-values less than 0.05 indicating a significant relationship between the variables. Pearson Correlation and regression techniques were utilized for inferential analysis. The parameters of the regression model were used to ascertain the predictive role of the independent variables in the study. Risk management Practices has no significant effect on the Technology Integration in Public High Schools in Kenya (H03: ?3= 0) when environmental factors are held constant was rejected (?3=--0.0979, t= -2.42, p-value = 0.017). The null hypothesis: Environmental factors index has no significant moderation effect on relationship between Risk Management Practices and Technology integration in Public High Schools in Kenya (H06: ?x3m= 0) was not rejected (?x3m = -0.155, t= -0.227, p-value = 0.820). Ultimately, this study will provide insights into the optimal environmental conditions that promote successful technology integration in public high schools in Kenya.
Key words: Project Risk Management practices Technology integration Environmental factors