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Article ; Online: ‘Sweet Acid’ An Interpretative Phenomenological Analysis of Students’ Navigating Regenerative Higher Education

van den Berg, Bas / Poldner, Kim A. / Sjoer, Ellen / Wals, Arjen E.J.

Education Sciences

2022  Volume 12, Issue 8

Abstract: Regenerative forms of higher education are emerging, and required, to connect with some of the grand transition challenges of our times. This paper explores the lived experience of 21 students learning to navigate a regenerative form of higher education ... ...

Abstract Regenerative forms of higher education are emerging, and required, to connect with some of the grand transition challenges of our times. This paper explores the lived experience of 21 students learning to navigate a regenerative form of higher education in the Mission Impact course at The Hague University of Applied Sciences. This semester-length course ran for two iterations with the intention of connecting the students with local transitions towards a more circular society, one where products are lasting and have multiple lives when they are shared, refurbished, or become a source for a new product. At the end of each iteration, the students reflected on their experience using the Living Spiral Framework, which served as basis for an interpretative phenomenological analysis of their journey navigating this transformative course. The results of this study include four themes; (1) Opting in—Choosing RHE, (2) Learning in Regenerative Ways, (3) Navigating Resistance(s), and (4) Transformative Impacts of RHE. These themes can be used by practitioners to design and engage with regenerative forms of higher education, and by scholars to guide further inquiry.
Keywords interpretative phenomenological analysis ; lived experience ; living spiral framework ; navigating resistances ; regenerative higher education ; regenerative learning
Subject code 370
Language English
Publishing country nl
Document type Article ; Online
ZDB-ID 2704213-3
ISSN 2227-7102
ISSN 2227-7102
Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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