What question did this study set out to answer?

This evaluation aims to understand the factors affecting technology adoption rates in Ghanaian secondary schools.

February 27, 2026Open Access

Multilevel Regression Analysis for Evaluating Adoption Rates in Ghanaian Secondary School Systems

Key Points

This evaluation aims to understand the factors affecting technology adoption rates in Ghanaian secondary schools.
Utilized multilevel regression analysis to assess adoption rates at school and district levels.
Examined data from 100 schools and 20 districts.
Analyzed the impact of teacher training and school infrastructure on technology use.
Approximately 45% of schools adopted new educational technologies in their districts.
Teacher training and school infrastructure were identified as significant influencers of adoption rates.

Abstract

In Ghana's secondary school systems, adoption rates of new educational technologies vary significantly among schools. Multilevel regression analysis was employed to assess the impact of various factors on technology adoption at both school-level (n = 100) and district-level (n = 20). A significant proportion, approximately 45%, of schools reported adopting new educational technologies in their districts. The multilevel regression analysis revealed that factors such as teacher training and school infrastructure significantly influenced technology adoption rates. Schools should prioritise continuous teacher training programmes to enhance the uptake of new educational technologies.

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Cite This Study

Asare et al. (Tue,) studied this question.

synapsesocial.com/papers/69a135b0ed1d949a99abfc16 https://doi.org/https://doi.org/10.5281/zenodo.18764551

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