Nano-integrating green and low-carbon concepts into ideological and political education in higher education institutions through K-means clustering

Jing Meng; Azher M. Abed; Mohamed Gamal Elsehrawy; Afnan Al Agha; Nermeen Abdullah; Samia Elattar; Mohamed Abbas; Hakim AL Garalleh; Hamid Assilzadeh

Heliyon (May 2024)

Nano-integrating green and low-carbon concepts into ideological and political education in higher education institutions through K-means clustering

Jing Meng,
Azher M. Abed,
Mohamed Gamal Elsehrawy,
Afnan Al Agha,
Nermeen Abdullah,
Samia Elattar,
Mohamed Abbas,
Hakim AL Garalleh,
Hamid Assilzadeh

Affiliations

Jing Meng: College of Foreign Languages, Jilin Agricultural University, Changchun City, Jilin Province, China
Azher M. Abed: Mechanical power Techniques Engineering Department, College of Engineering and Technologies, Al-Mustaqbal University, Babylon, 51001, Iraq; Al - Mustaqbal Center for energy research, Al-Mustaqbal University, Babylon, 51001, Iraq; Corresponding author.
Mohamed Gamal Elsehrawy: Prince Sattam Bin Abdulaziz University, College of Applied Medical Sciences, Kingdom of Saudi Arabia; Nursing Faculty, Port-Said University, Egypt
Afnan Al Agha: Department of Mathematical Science, College of Engineering, University of Business and Technology, Jeddah 21361, Saudi Arabia
Nermeen Abdullah: Department of Industrial & Systems Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, P.O.Box 84428, Riyadh 11671, Saudi Arabia
Samia Elattar: Department of Industrial & Systems Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, P.O.Box 84428, Riyadh 11671, Saudi Arabia
Mohamed Abbas: Electrical Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia
Hakim AL Garalleh: Department of Mathematical Science, College of Engineering, University of Business and Technology, Jeddah 21361, Saudi Arabia
Hamid Assilzadeh: Faculty of Architecture and Urbanism, UTE University, Calle Rumipamba S/N and Bourgeois, Quito, Ecuador; Institute of Research and Development, Duy Tan University, Da Nang, Viet Nam; School of Engineering & Technology, Duy Tan University, Da Nang, Viet Nam; Department of Biomaterials, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai 600077, India

Journal volume & issue: Vol. 10, no. 10
p. e31244

Abstract

Read online

Universities and colleges play a pivotal role in the pursuit of a future that is sustainable through their pedagogical efforts and the execution of state-of-the-art research endeavors aimed at mitigating the effects of climate change. Higher Education Institutions (HEIs) serve as crucial catalysts in advancing sustainable development. HEIs are increasingly embracing precise measures to reduce their carbon footprint (CF) while also educating students on global sustainability. These nano-methods provide a quantitative framework for assessing a campus's sustainability efforts in line with Green Campus (GC) initiatives to lower carbon emissions align with GC goals. This study employs K-means clustering to analyze the integration of green and low-carbon principles in higher education political and ideological studies. Its goal is to identify patterns, assess teaching effectiveness, and improve sustainability education, aligning with Green Campus initiatives to enhance institutional contributions to sustainable growth through informed pedagogical strategies. Input data includes curriculum content, teaching methods, student engagement, and institutional goals related to sustainability. Seeking to improve sustainability education align with Green Campus initiatives, higher education can strategically enhance their contributions to long-term sustainability and growth through effective pedagogical approaches. Cluster 3 has the lowest WCSS value of 1200, indicating tighter cohesion and less variability within this cluster compared to Cluster 1 (1500) and Cluster 2 (1800). Cluster 3 stands out with the highest silhouette score of 0.7, suggesting well-defined and distinct clusters, while Cluster 2 has the lowest score of 0.4, indicating some overlap or ambiguity in data points. Cluster 1 has the lowest Davies-Bouldin Index of 0.4, implying better separation between clusters compared to Cluster 2 (0.6) and Cluster 3 (0.5). Cluster 3 is well-defined and cohesive, showing strong integration of green practices. Cluster 1 displays good separation and cohesion, while Cluster 2 requires refinement due to potential overlap in sustainability integration.

Published in Heliyon

ISSN: 2405-8440 (Online)
Publisher: Elsevier
Country of publisher: United Kingdom
LCC subjects: Science: Science (General); Social Sciences: Social sciences (General)
Website: https://www.cell.com/heliyon/home

About the journal

Abstract

Keywords