Abstract

The study examined the efficacy of the Bioecological Model of Human Development to predict Ghanaian primary school pupils’ academic achievement in a National Education Assessment test in English language and mathematics. A total of 19,458 primary 3 and 17,447 primary 6 pupils from 548 schools were involved in the study. Participating schools were selected using stratified random sampling. Using a hierarchical multiple regression with a significance criterion at p < 0.001, pupils’ academic achievement was found to be significantly influenced by their personal characteristics, as well as the micro and macro environments they interacted in. Consistent with the theoretical model, pupils’ microsystems contributed most to their levels of academic achievement. Moreover, the impact of pupils’ personal characteristics on their academic achievement was moderated by the types of micro and macro systems they operated in. The outcome of the study validates the model’s proposition that none of the variables operates in isolation but are mutually dependent in determining the levels of pupils’ academic achievement in a given context. It is therefore suggested curriculum developers and education policy formulators to be guided by the model in attempts to initiate interventions to address the problem of low academic achievement among primary school pupils’ in Ghana.

Highlights

  • The interest in learning and learning outcomes at different levels of education has facilitated the development of various learning models

  • Pupils’ Academic Achievement in Ghana and Its Curriculum Implications developed contexts can be generalized to the contextsensitive low-income country like Ghana with diverse cultural heritages and traditions. Driven by this uncertainty and gap in knowledge, this study examines the extent the Bioecological Model of Human Development developed by Urie Bronfenbrenner is able to predict and explain pupils’ learning outcomes using a national education assessment data

  • For P6 English language achievement, the ANOVA table indicated that the model as a whole was significant (F (7, 14749) = 1025.99, p < .001)

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Summary

Introduction

The interest in learning and learning outcomes at different levels of education has facilitated the development of various learning models (e.g. [1,2,3] and theories (see [4, 5]). The application of the theories and models in different contexts to assess their generalizability is in acknowledgement of the role contextual factors play in validating existing and developing theories in education ([11, 10]). In this connection, the authors of this study share the view of others that any framework used to analyse how systems and schools function must consider local contexts ([12,13,14,15]). This is essential because different countries exhibit diverse political, geographical, social, economic, demographic and cultural contexts

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