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      Design Principles for Sustainable Leadership Learning: A Complex Analysis of Learner Experiences

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      Sustainability
      MDPI AG

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          Abstract

          Many institutions of higher education claim to produce leaders and many assume that graduating from a university equates to someone naturally growing in their ability to lead. Developing leaders is considered a worthwhile endeavor in society today and developing a leadership identity is considered foundational to leadership development in college. While colleges and universities purport to develop leaders, little is known about how best to help students develop sustainable leadership learning. Utilizing design-based research, this study examined the learning experiences of college students in three different semesters of a personal leadership course through their reflections about course activities designed to help them develop their leadership identity. Using network maps from student reflections, we analyzed the complexity of learner experiences and developed a set of design principles anchored in the relationships between learning experiences concerning strengths, weaknesses, and theoretical foundations. The following design principles emerged from this study: framing for authentic learning, scaffolding for learner agency, social and collaborative learning, and multimodal engagement. By using these principles in designing leadership experiences, college leadership educators will be empowered to create opportunities that are sustainable and inclusive and that promote lifelong learning in regard to students’ authentic and personal leadership development practices.

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          Most cited references18

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          Situated Learning

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            Emerging adulthood: A theory of development from the late teens through the twenties.

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              Community structure in social and biological networks.

              A number of recent studies have focused on the statistical properties of networked systems such as social networks and the Worldwide Web. Researchers have concentrated particularly on a few properties that seem to be common to many networks: the small-world property, power-law degree distributions, and network transitivity. In this article, we highlight another property that is found in many networks, the property of community structure, in which network nodes are joined together in tightly knit groups, between which there are only looser connections. We propose a method for detecting such communities, built around the idea of using centrality indices to find community boundaries. We test our method on computer-generated and real-world graphs whose community structure is already known and find that the method detects this known structure with high sensitivity and reliability. We also apply the method to two networks whose community structure is not well known--a collaboration network and a food web--and find that it detects significant and informative community divisions in both cases.
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                Author and article information

                Contributors
                (View ORCID Profile)
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                Journal
                SUSTDE
                Sustainability
                Sustainability
                MDPI AG
                2071-1050
                September 2023
                August 29 2023
                : 15
                : 17
                : 12996
                Article
                10.3390/su151712996
                7676fc3d-98ff-45a1-845e-d3ddda40bc26
                © 2023

                https://creativecommons.org/licenses/by/4.0/

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