Volume 17, Number 4

Developing an Intelligent System based on Machine Learning Technology for Electronic Waste Management in the Field of Education

  Authors

Amany Fathy Mohamed Ibrahim Metwaley ¹, Elsaeed Elsaeed Mohamed Abd-ElRazik ² and Rasha Kandil Mohamed Kandil Arafa ², ¹ Egypt, ² Damietta University, Egypt

  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.

  Keywords

Green Computing, Electronic Waste, intelligent System, Machine Learning, Education