Evaluation of computerized school selection and placement system in Ghana using fit and viability theory

Owusu, Acheampong; Nettey, Joshua Nii Akai

doi:10.1007/s10639-022-11109-1

Cited by 2 publications

(1 citation statement)

References 35 publications

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“…In Sdravopoulou et al (2021), a naturalistic approach applied to technological systems across different aspects of life in augmented reality (AR) is critically evaluated. In Ghana, the school placement system which is computerized is evaluated using the fit and viability theory (Owusu & Nettey, 2022). This same methodology is applied in managing land records in Kenya, where Kwanya (2014) used the methodology to determine the effective management of land for enhanced production.…”

Section: Structure Educational Systemmentioning

confidence: 99%

Evaluating Agile Neural Educational System for Effective Resource Management

Marfo Missah,

Inusah,

Najim

et al. 2023

Sage Open

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The major challenge of most basic schools is inadequate educational resources despite a conscious effort to constantly provide. This is a result of inaccurate data management leading to inappropriate predictions for effective planning. The actual efficiency of a system is determined by its ability to predict real-life data with speed and accuracy. In this work, the neural educational expert system (ES) is evaluated using mathematical models for predicting the availability of resources for the growing school-aged population using a criteria-based formative evaluation to know resource life and its effect on availability. This will help in the decision to add more resources by knowing when and how the resources should be added. Technical mathematical model generation through differential equations is used to fuse the factors affecting the availability of educational resources. The real-life data is used in prediction regarding the actual enrollment of learners and the availability of resources. The model is evaluated and critically analyzed to know the degree of accuracy and the steady state. The findings revealed that the resources decay and attrite at an exponential rate in the long run and the constant number of resources provided cannot cater for the rate of decay, resulting in inadequacy. A proposed algorithm for managing the resources is presented.

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Section: Structure Educational Systemmentioning

confidence: 99%

Evaluating Agile Neural Educational System for Effective Resource Management

Marfo Missah,

Inusah,

Najim

et al. 2023

Sage Open

View full text Add to dashboard Cite

show abstract

Evaluating Agile Neural Educational System for Effective Resource Management.

Missah

Inusah

Najim

et al. 2023

Preprint

View full text Add to dashboard Cite

The major challenge of most schools is inadequate educational resources despite a conscious effort to constantly provide resources. This is a result of inaccurate data management leading to inappropriate predictions for effective planning. The actual efficiency of a system is determined by its ability to predict real-life data with speed and accuracy. In this work, the neural educational expert system (ES) is evaluated using mathematical models for predicting the availability of resources for the growing school-aged population using a criteria-based formative evaluation to know resource life and its effect on availability. This will help in the decision to add more resources by knowing when and how the resources should be added. Technical mathematical model generation through differential equations is used to fuse the factors affecting the availability of educational resources. The real-life data is used in prediction regarding the actual enrolment of learners and the availability of resources. The model is evaluated and critically analyzed to know the degree of accuracy and the steady state. The findings revealed that the resources decay and attrite at an exponential rate in the long run and the constant number of resources provided cannot cater for the rate of decay, resulting in inadequacy. A proposed algorithm for managing the resources is presented.

show abstract

Evaluation of computerized school selection and placement system in Ghana using fit and viability theory

Cited by 2 publications

References 35 publications

Evaluating Agile Neural Educational System for Effective Resource Management

Evaluating Agile Neural Educational System for Effective Resource Management

Evaluating Agile Neural Educational System for Effective Resource Management.

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