Dirk Kootstra en Jan Veuger, lector Maatschappelijk Vastgoed bij het Kenniscentrum NoorderRuimte hebben de eerste resultaten van het promotieonderzoek van Dirk Kootstra gepubliceerd in de speciale ERES 2015 uitgave.
Universities have the potential, and the responsibility, to take on more ecological and relational approaches to facilitating learning-based change in times of interconnected socioecological crises. Signs for a transition towards these more regenerative approaches of higher education (RHE) that include more place-based, ecological, and relational, ways of educating can already be found in niches across Europe (see for example the proliferation of education-based living labs, field labs, challenge labs). In this paper, the results of a podcast-based inquiry into the design practises and barriers to enacting such forms of RHE are shown. This study revealed seven educational practises that occurred across the innovation niches. It is important to note that these practises are enacted in different ways, or are locally nested in unique expressions; for example, while the ‘practise’ of cultivating personal transformations was represented across the included cases, the way these transformations were cultivated were unique expressions of each context. These RHE-design practises are derived from twenty-seven narrative-based podcasts as interviews recorded in the April through June 2021 period. The resulting podcast (The Regenerative Education Podcast) was published on all major streaming platforms in October 2021 and included 21 participants active in Dutch universities, 1 in Sweden, 1 in Germany, 1 in France, and 3 primarily online. Each episode engages with a leading practitioner, professor, teacher, and/or activist that is trying to connect their educational practice to making the world a more equitable, sustainable, and regenerative place. The episodes ranged from 30 to 70 min in total length and included both English (14) and Dutch (12) interviews. These episodes were analysed through transition mapping a method based on story analysis and transition design. The results include seven design practises such as cultivating personal transformations, nurturing ecosystems of support, and tackling relevant and urgent transition challenges, as well as a preliminary design tool that educational teams can use together with students and local agents in (re)designing their own RHE to connect their educational praxis with transition challenges. van den Berg B, Poldner K, Sjoer E, Wals A. Practises, Drivers and Barriers of an Emerging Regenerative Higher Education in The Netherlands—A Podcast-Based Inquiry. Sustainability. 2022; 14(15):9138. https://doi.org/10.3390/su14159138
As part of my PhD research, I investigate the factors of student success and the influence of the use of social media by first year students in higher education. For this I use the insights provided by the highly influential and leading integration theory of Tinto and diminished the amount of variables by only using the best predictive ones. Hereby, avoiding the capitalization of chance and establishing a more easy to use model for teachers and management. Furthermore, I enriched the model with the use of social media, in particular Facebook, to better suit students’ contemporary society in the developed world. Principal component analysis on Facebook usage provided different integration/engagement components, which I coined peer-engagement and knowledge engagement. Both consisted of various purposes of Facebook use (information, education, social and leisure) and the use of different pages amongst students. To uncover if these latent variables play a significant role in student success or if Facebook is a multi-distracting platform, two models were compared using structural equation modeling with SPSS AMOS; one with and one without the peer-, and knowledge engagement variables. The fit of both models are compared using the normed fit index (NFI), the comparative fit index (CFI), the Tucker-Lewis Index (TLI) and the root mean square error of approximation (RMSEA). In addition, the direct influence and indirect influence of all variables are compared to provide a better insight into what kind of influence social media can have upon student success.