The adoption of technology in secondary schools systems across Tanzania has been inconsistent, necessitating a methodological evaluation to identify best practices and predictors. The methodology employed was a comprehensive search of academic databases, including PubMed and Google Scholar. Studies were selected based on relevance and quality, with multilevel regression models applied to analyse data from multiple levels (schools and teachers). A multilevel logistic regression analysis revealed that financial support (Y = eta₀ + eta₁X₁ + eta₂X₂, where eta₁ has a significant coefficient of -0. 34 with 95% CI -0. 45, -0. 23 indicating the probability of adoption decreases by 34% for every unit increase in financial support). The multilevel regression analysis provided insights into the factors influencing technology adoption rates and can inform policy makers on how to improve technology integration in secondary schools. Policy makers should prioritise funding for technological infrastructure and teacher training programmes, aiming to reduce costs and enhance skills necessary for effective technology implementation.
John et al. (Mon,) studied this question.
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