A vital yet often overlooked role of engineers is to uphold and advocate sustainability as the solution to ensure the well-being of all today and tomorrow. The teachings of sustainability are clear and well defined; believing in them, on the other hand, is difficult. In other words, the problem does not resonate on the “How” to achieve sustainability more than it does to “why”. Hence, it’s very important to quantify all the constituents of sustainability and prove assessable merits that encourage professionals to adhere to sustainability guidelines and its economic, environmental, and social accountability. The traditional pedagogical methods seem to clarify the issues but failed to provoke the student’s interest, therefore, sustainability education should lead the students to understand the issues pertaining to the intricate pillars of sustainability then immerse them in research to generate solutions relative to their society here and now. The proposed study suggests employing computer aided engineering tools which provide suitable means to test multiple scenarios and propose valid solutions. One of the objectives of such tools is to reflect added valued outcomes that demonstrate how slight efforts by individuals toward sustainability can make substantial difference when measured on the long run or when carried out by the entire population. In this manner, Students who perform such studies will appreciate the sustainability guidance and understand the challenges that impede the sustainability upholding by means of saving current resources without compromising the ones in the future. The main goal of this work is to engage the students’ engineering skills as well as social, environmental and economical believes to generate solutions that are both technical and humane. The proposed study also aims to encourage the students to probe the people’s lifestyles and educate them to take forward steps towards recycling and renewable energy adaptations. The students then investigate different theories which enhance sustainable practices and decrease resources exploitation then propose solutions that can be modeled and tested.
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