Skip to main navigation Skip to search Skip to main content

Fundamentals of a Sustainability Profile of Students based on Quantitative Community Building Analyses

  • Cormac McMahon
  • , Julie Dunne
  • , Catherine Barry Ryan
  • , María J. Cantalejo
  • , Carlos Vilches
  • , Isabel Navarlaz
  • , Maite Aldaya
  • , Annapia Ferrara
  • , Sabrina Tomasi
  • , Chiara Mignani
  • , Alessio Cavicchi
  • , Sami Sami Ghnimi
  • , Sghaier Chriki
  • , Michael Murkovic
  • , Barbara Siegmund
  • , Lena Pfeiffer

Research output: Contribution to journalArticlepeer-review

Abstract

In the context of a growing awareness of environmental challenges and the importance of sustainability values, practices, and choices, this article presents the key findings of the European co-funded NEMOS research project (A New Educational Model of Sustainability Competences through Service-learning) focused on defining the sustainability profile and competencies of students through service-learning in Higher Education. A community-building bottom-up methodology was innovatively applied to identify the competencies needed to define a sustainability profile of students in food-related degrees of five European Higher Education Institutions.
The research findings highlight the need for a holistic understanding of students´sustainability, including economic, social, and environmental aspects, as well as the importance of specific sustainability training for lecturers. Furthermore, it underlines the essential role of service-learning as a pedagogical approach to foster students´active participation in the community and to prepare them to address global challenges in a meaningful way.
Original languageEnglish (Ireland)
Article number61
JournalEuropean Journal of Sustainable Development
Volume14
Issue number4
Publication statusPublished - 1 Oct 2025

Keywords

  • higher education
  • key-competencies
  • sustainability profile
  • service-learning

Fingerprint

Dive into the research topics of 'Fundamentals of a Sustainability Profile of Students based on Quantitative Community Building Analyses'. Together they form a unique fingerprint.

Cite this