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<p>The expansion of Ghana’s Free Senior High School (SHS) policy has significantly increased access to secondary education, yet persistent challenges remain in the Computerized School Selection and Placement System (CSSPS), particularly regarding placement equity and enrollment efficiency. This study aimed to examine key institutional factors influencing enrollment success within the CSSPS and to develop an enhanced framework for improving school placement outcomes. A quantitative survey design was employed involving 267 Senior High School students selected through a multi-stage stratified random sampling technique from four schools across different regions of Ghana. The sample size was determined using the Raosoft sample size calculator at a 95% confidence level and 5% margin of error. Data were analyzed using multiple regression analysis to assess the influence of feedback clarity, data utilization, decentralized processes, school preference consideration, and the 30% Category “A” school placement policy on students’ perceived enrollment success. The regression results indicated that all five variables were statistically significant predictors of enrollment success (p &lt; .05), with feedback clarity emerging as the strongest predictor. Based on these findings, the study proposes an Enhanced Smart Placement Framework that integrates multi-factor student profiling, a Deferred Acceptance Algorithm (DAA) for iterative matching, decentralized decision-making structures, and real-time feedback mechanisms. By reconceptualizing CSSPS as an interactive, technology-enabled governance system, the study contributes both theoretically and practically to ongoing education reform debates. The framework offers policy-relevant insights for improving equity, efficiency, and stakeholder trust in large-scale ICT-based school placement systems in Ghana and other similar contexts.</p>

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An enhanced multifactor decision making framework for equitable and efficient school placement in Ghana

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月11日

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  • Mathias Adawurah,
  • Charles Buabeng-Andoh,
  • Felix Buabeng-Andoh,
  • Atamba Eric Akurubilla

摘要

The expansion of Ghana’s Free Senior High School (SHS) policy has significantly increased access to secondary education, yet persistent challenges remain in the Computerized School Selection and Placement System (CSSPS), particularly regarding placement equity and enrollment efficiency. This study aimed to examine key institutional factors influencing enrollment success within the CSSPS and to develop an enhanced framework for improving school placement outcomes. A quantitative survey design was employed involving 267 Senior High School students selected through a multi-stage stratified random sampling technique from four schools across different regions of Ghana. The sample size was determined using the Raosoft sample size calculator at a 95% confidence level and 5% margin of error. Data were analyzed using multiple regression analysis to assess the influence of feedback clarity, data utilization, decentralized processes, school preference consideration, and the 30% Category “A” school placement policy on students’ perceived enrollment success. The regression results indicated that all five variables were statistically significant predictors of enrollment success (p < .05), with feedback clarity emerging as the strongest predictor. Based on these findings, the study proposes an Enhanced Smart Placement Framework that integrates multi-factor student profiling, a Deferred Acceptance Algorithm (DAA) for iterative matching, decentralized decision-making structures, and real-time feedback mechanisms. By reconceptualizing CSSPS as an interactive, technology-enabled governance system, the study contributes both theoretically and practically to ongoing education reform debates. The framework offers policy-relevant insights for improving equity, efficiency, and stakeholder trust in large-scale ICT-based school placement systems in Ghana and other similar contexts.