This study aims to respond to the pressing need for leadership frameworks that support education for sustainable development (ESD) in higher education. In Jordanian universities, structural and governance constraints hinder effective ESD integration, necessitating a context-specific leadership model.
A two-round Fuzzy Delphi Method was used to identify and prioritise essential components of the sustainable leadership model. Round 1 established expert consensus on key elements, while Round 2 ranked their relevance to refine the model’s structure.
The final model comprises five dimensions: self, university community, educational integration, sustainability governance and sustainability partnerships. High-priority items highlight the role of ethical leadership, stakeholder empowerment, integrated planning and cross-sector collaboration in driving institutional change.
The study is context-specific, focusing on Jordanian universities, which may limit the direct transferability of the model to other national systems. However, the use of internationally informed expert input and alignment with global ESD frameworks supports broader adaptability. Future studies could apply the model in comparative settings to test its generalisability and refine its components.
The model provides higher education leaders and policymakers with a strategic framework for embedding ESD across governance, curriculum, operations and community engagement, particularly in resource-constrained environments.
By promoting ethical leadership, inclusive decision-making and collaborative partnerships, the model supports higher education’s role in addressing sustainability challenges. It encourages institutions to become catalysts for societal transformation by equipping graduates with the skills and values necessary to contribute to the sustainable development goals (SDGs).
This model offers a practical, adaptable framework for embedding ESD in universities facing systemic limitations. It supports global sustainability efforts by illustrating how leadership can operationalise the SDGs through context-sensitive educational reform.
Ra'ed Ali Mohammaed Al-Khamaiseh, R. Bailey, J. Ibbini et al.· International Journal of Sus...· 0 citations
Researchers using latent profile and latent class analysis (LPA/LCA) commonly assign individuals to their modal class without evaluating whether this simplification distorts reported class sizes, profile means, or high-severity subgroups. Existing classification-quality diagnostics-entropy, average posterior probabilities, and Masyn's odds of correct classification and classification probability-assess how sharply a model separates its classes, not whether hard-assigned summaries diverge from probability-weighted ones. We address this through an empirical benchmark (four-class SCL-90 solution; N = 59,408), a fully crossed simulation (class separation, class balance, and indicator-class discrimination precision; 27 conditions), and a six-index diagnostic framework. Hard-assigned and probability-weighted summaries were interchangeable under favorable conditions but diverged under low class separation, severe imbalance, or low precision-most acutely for the smallest, most extreme class. The framework offers simulation-calibrated thresholds for documenting assignment adequacy in continuous-indicator LPA; extension to categorical LCA requires further validation. Hard assignment is most defensible when its adequacy is documented rather than assumed.
Xiaohui Chen, Siguang Chen, Chenglin Wang et al.· Educational and Psychologica...· 0 citations