DEVELOPING AN INTELLIGENT SYSTEM BASED ON MACHINE LEARNING TECHNOLOGY FOR ELECTRONIC WASTE MANAGEMENT IN THE FIELD OF EDUCATION

The rapid advancement of technology in recent years has led to its integration into all aspects of life, prompting the need to find solutions to mitigate its negative environmental impacts. Hence, Green computing aims to reduce the negative impacts of using computers and modern technology by reducing energy use, reducing carbon emissions, and disposing of digital waste in environmentally friendly ways. The study aim to promote the culture of green computing in educational institutions by encouraging school students to adopt positive environmental behaviours and dispose of digital waste in environmentally friendly ways. The system proposed in this study seeks to provide a practical model for electronic waste management in the field of education in educational institutions, contributing to a healthy learning environment for students, free from the negative environmental impacts resulting from the use of technology, The results indicated the effectiveness of the proposed system in managing electronic waste.

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Publication Details

Journal
International Journal of Computer Science and Information Technology
Published
2025-08-28
DOI
https://doi.org/10.5121/ijcsit.2025.17402
Primary Topic
Knowledge Management and Technology
Type
article
Field-Weighted Citation Impact
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article

DEVELOPING AN INTELLIGENT SYSTEM BASED ON MACHINE LEARNING TECHNOLOGY FOR ELECTRONIC WASTE MANAGEMENT IN THE FIELD OF EDUCATION

Amany Fathy Mohamed Ibrahim Metwaley, Elsaeed Elsaeed Mohamed Abd-ElRazik, Rasha Kandil Mohamed Kandil Arafa
International Journal of Computer Science and Information Technology
Knowledge Management and Technology
article

DEVELOPING AN INTELLIGENT SYSTEM BASED ON MACHINE LEARNING TECHNOLOGY FOR ELECTRONIC WASTE MANAGEMENT IN THE FIELD OF EDUCATION

Amany Fathy Mohamed Ibrahim Metwaley, Elsaeed Elsaeed Mohamed Abd-ElRazik, Rasha Kandil Mohamed Kandil Arafa
article en

Abstract

The rapid advancement of technology in recent years has led to its integration into all aspects of life, prompting the need to find solutions to mitigate its negative environmental impacts. Hence, Green computing aims to reduce the negative impacts of using computers and modern technology by reducing energy use, reducing carbon emissions, and disposing of digital waste in environmentally friendly ways. The study aim to promote the culture of green computing in educational institutions by encouraging school students to adopt positive environmental behaviours and dispose of digital waste in environmentally friendly ways. The system proposed in this study seeks to provide a practical model for electronic waste management in the field of education in educational institutions, contributing to a healthy learning environment for students, free from the negative environmental impacts resulting from the use of technology, The results indicated the effectiveness of the proposed system in managing electronic waste.

International Journal of Computer Science and Information TechnologyVol. 17(4)
Openalex Percentile: Top 71%
Knowledge Management and Technology
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DEVELOPING AN INTELLIGENT SYSTEM BASED ON MACHINE LEARNING TECHNOLOGY FOR ELECTRONIC WASTE MANAGEMENT IN THE FIELD OF EDUCATION — Amany Fathy Mohamed Ibrahim Metwaley, Elsaeed Elsaeed Mohamed Abd-ElRazik, et al. · International Journal of Computer Science and Information Technology (2025) | TGRS Research Map | TGRS