Integrating expert system in managing basic education: A survey in Ghana

Inusah, Fuseini; Missah, Yaw Marfo; Najim, Ussiph; Twum, Frimpong

doi:10.1016/j.jjimei.2023.100166

Cited by 11 publications

(10 citation statements)

References 39 publications

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“…Managing educational data to improve data integrity for efficient management of resources is essential (Inusah et al, 2023b). in fig 1, the integrity of educational data is enhanced using data mining techniques before the neural expert system (Inusah et al, 2023a).…”

Section: Discussionmentioning

confidence: 99%

Evaluating Agile Neural Educational System for Effective Resource Management.

Missah

Inusah

Najim

et al. 2023

Preprint

Self Cite

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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

Section: Discussionmentioning

confidence: 99%

Evaluating Agile Neural Educational System for Effective Resource Management.

Missah

Inusah

Najim

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Managing educational data to improve data integrity for efficient management of resources is essential (Inusah et al, 2023b). In Figure 1, the integrity of educational data is enhanced using data mining techniques before the neural expert system (Inusah et al, 2023a).…”

Section: Discussionmentioning

confidence: 99%

“…Stakeholder consultation to improve the management of data and enhance efficiency in decision-making received overwhelming support. Acceptance survey for the possible use of an expert system conducted as a follow-up for the views of the stakeholders of education using both interview and questionnaire survey shows massive zeal and readiness to use an expert system at the basic level of education (Inusah et al, 2023b). As an intervention for the challenges identified, an agile neural ES for managing basic education is proposed with a mathematical model (Inusah et al, 2023a).…”

Section: Introductionmentioning

confidence: 99%

Evaluating Agile Neural Educational System for Effective Resource Management

Marfo Missah,

Inusah,

Najim

et al. 2023

SAGE Open

Self Cite

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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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“…Sistem pakar merupakan suatu sistem yang menggunakan pengetahuan manusia yang terekam dalam komputer menggunakan ilmu, fakta, dan teknik berfikir untuk memecahkan permasalahan [22] yang biasanya memerlukan kepakaran manusia [23][24]. Sistem pakar merupakan cabang kecerdasan buatan atau artificial intelligence(AI) [24][21] dengan adopsi pikiran dan nalar pakar dalam menyelesaikan permasalahan [25][26] dan membuat keputusan sampai kesimpulan fakta [27][22].…”

Section: Pendahuluanunclassified

Aplikasi Sistem Pakar Klasifikasi Kesehatan Lingkungan Permukiman Dengan Metode Certainty Factors

Siswanto¹,

Qalban²,

Lahay³

2023

JTEKSIS

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Persyaratan kesehatan lingkungan permukiman yang terus tumbuh dan berkembang meliputi 7 aspek. Pemangku kepentingan kesulitan mengklasifikasikan kesehatan lingkungan permukiman, membutuhkan waktu yang lama, kurang akurat, dan kurang lengkap. Aplikasi sistem pakar kesehatan lingkungan permukiman dibangun berbasis website menggunakan Metode Certainty Factor. Pengembangan aplikasi sistem pakar mengadopsi metode Expert System Development Life Cyrcle (ESDLC). Aplikasi dirancang mulai dari penalaran dan pemberian nilai skor, rancangan database, diagram konteks, dan bagan alir sistem. Aplikasi sistem pakar berdasarkan rancangan dikembangkan dengan editor Notepad++ untuk menuliskan Program Hypertext Preprocessor (PHP) dengan framework CodeIgniter. XAMPP digunakan untuk menjalankan database menggunakan MySQL dan Apache untuk server lokal. Hasil perbandingan antara perhitungan manual dan aplikasi mempunyai nilai skor yang sama. Hal tersebut dapat dijadikan bukti bahwa aplikasi sistem pakar yang dibangun dapat digunakan untuk membantu klasifikasi kesehatan lingkungan permukiman. Hasil klasifikasi dapat dijadikan acuan kebijakan dan bentuk pelaporan kesehatan lingkungan permukiman setiap tahun oleh pemangku kepentingan.

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Integrating expert system in managing basic education: A survey in Ghana

Cited by 11 publications

References 39 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

Aplikasi Sistem Pakar Klasifikasi Kesehatan Lingkungan Permukiman Dengan Metode Certainty Factors

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