Design and evaluation of an electronic performance support system for quantitative data analysis

Karakaya-Ozyer, Kubra; Yıldız, Zeki

doi:10.1007/s10639-021-10712-y

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…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. In designing and evaluating a performance support system for electricity, Karakaya-Ozyer and Yildiz (2022) used a four-phase tendency to evaluate the system. A paper by Vandevelde et al (2016) looks at the building of a robot and its evaluation using an expert evaluation and follow-up questionnaire.…”

Section: Related Workmentioning

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: Related Workmentioning

confidence: 99%

Evaluating Agile Neural Educational System for Effective Resource Management

Marfo Missah,

Inusah,

Najim

et al. 2023

Sage Open

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“…In the current studies on the valuation of ecological assets in nature reserves, people do not have a comprehensive understanding of ecological assets, and some studies only estimate the value of ecosystem services ignoring the importance of natural resource stocks; they lack studies on the estimation of their dynamic value for improving the environmental service functions of protected areas and surrounding communities [4][5]. When conducting ecosystem valuation, due attention should also be paid to the scope and context of each valuation indicator [6].…”

Section: Introductionmentioning

confidence: 99%

Assessment System of Natural Environment Protection Based on Energy Efficiency

2023

NEP

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Since the reform and opening up, China's economy has developed at a rapid pace, and the impact of industrial development and social change on the natural environment has become more diverse and profound. In evaluating the economic value of nature reserves, we often have to consider their current economic value, and past values appear to be meaningless, which makes it necessary to ensure both a reliable basis for the calculation criteria when calculating the value of reserves, and the use of time-recent This makes it necessary to ensure that the criteria for calculating the value of protected areas are reliable and that the most recent data are used. Therefore, this paper uses Nature Reserve C as an example to construct an assessment system for natural environment protection based on energy efficiency. The paper begins with a brief introduction of the evaluation principles and the carbon balance evaluation model, followed by the design of the nature reserve evaluation system and the general architecture of the system, and finally the analysis of the natural resource value and the economic value of the nature reserve.

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Evaluating Agile Neural Educational System for Effective Resource Management.

Missah

Inusah

Najim

et al. 2023

Preprint

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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

Design and evaluation of an electronic performance support system for quantitative data analysis

Cited by 3 publications

References 19 publications

Evaluating Agile Neural Educational System for Effective Resource Management

Evaluating Agile Neural Educational System for Effective Resource Management

Assessment System of Natural Environment Protection Based on Energy Efficiency

Evaluating Agile Neural Educational System for Effective Resource Management.

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