Bayesian Hierarchical Model for Assessing Adoption Rates in Secondary Schools Systems of Ethiopia: A Systematic Literature Review

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Autor principal: Tekalign, Mekonnen
Formato: Recurso digital
Lenguaje:inglés
Publicado: Zenodo 2014
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author Tekalign, Mekonnen
author_facet Tekalign, Mekonnen
contents <p>Bayesian hierarchical models are increasingly used in educational research to analyse complex data structures such as those found in secondary school systems across different contexts. This study employs a comprehensive methodology involving a rigorous search strategy across multiple databases, including Google Scholar, PubMed, and Scopus. The inclusion criteria are based on specific keywords related to education, adoption rates, and Bayesian hierarchical models. A critical appraisal tool for systematic reviews is used to assess the quality of each included study. The analysis reveals a significant variation in how adoption rates are measured across different schools within the Ethiopian secondary school system, with some studies reporting adoption rates as high as 75% among certain educational technologies. Bayesian hierarchical models offer substantial flexibility and robustness for analysing adoption data from complex systems such as those found in Ethiopia's secondary schools. However, there is a need for more standardised methodologies to ensure comparability across different studies. Researchers should consider standardising the reporting of Bayesian hierarchical model parameters to facilitate easier interpretation and comparison by other scholars in this field. Bayesian Hierarchical Model, Adoption Rates, Secondary Schools, Ethiopia, Systematic Literature Review Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.</p>
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publishDate 2014
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spellingShingle Bayesian Hierarchical Model for Assessing Adoption Rates in Secondary Schools Systems of Ethiopia: A Systematic Literature Review
Tekalign, Mekonnen
Bayesian statistics
hierarchical modelling
educational assessment
secondary schools
Ethiopia
Africa
methodological evaluation
<p>Bayesian hierarchical models are increasingly used in educational research to analyse complex data structures such as those found in secondary school systems across different contexts. This study employs a comprehensive methodology involving a rigorous search strategy across multiple databases, including Google Scholar, PubMed, and Scopus. The inclusion criteria are based on specific keywords related to education, adoption rates, and Bayesian hierarchical models. A critical appraisal tool for systematic reviews is used to assess the quality of each included study. The analysis reveals a significant variation in how adoption rates are measured across different schools within the Ethiopian secondary school system, with some studies reporting adoption rates as high as 75% among certain educational technologies. Bayesian hierarchical models offer substantial flexibility and robustness for analysing adoption data from complex systems such as those found in Ethiopia's secondary schools. However, there is a need for more standardised methodologies to ensure comparability across different studies. Researchers should consider standardising the reporting of Bayesian hierarchical model parameters to facilitate easier interpretation and comparison by other scholars in this field. Bayesian Hierarchical Model, Adoption Rates, Secondary Schools, Ethiopia, Systematic Literature Review Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.</p>
title Bayesian Hierarchical Model for Assessing Adoption Rates in Secondary Schools Systems of Ethiopia: A Systematic Literature Review
topic Bayesian statistics
hierarchical modelling
educational assessment
secondary schools
Ethiopia
Africa
methodological evaluation
url https://doi.org/10.5281/zenodo.19057763