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. van den Berg B, Poldner KA, Sjoer E, Wals AEJ. ‘Sweet Acid’ An Interpretative Phenomenological Analysis of Students’ Navigating Regenerative Higher Education. Education Sciences. 2022; 12(8):533. https://doi.org/10.3390/educsci12080533
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Transitions can be facilitated through collective networked action, moving from coordinated learning towards more forceful interventions. This coordinated effort is challenging in more extended learning and innovation networks. Creating and maintaining an overview of activities within such a network and connecting them to a common cause can be a powerful approach. A tool named MissionMapping was developed in an iterative process in applied co-design research. With the tool, we intend to allow for a more holistic perspective when navigating the activities of the network related to the transition by working towards more of an overview of the questions and activities within the network. This article describes three cases in which MissionMapping was applied to facilitate synergy in networks of people collaborating on societal challenges. A cross-case analysis was done to develop insights on how MissionMapping supports the synergy of goals and projects within societal challenges. MissionMapping allows participants to build their mission landscape. They combine individual activities to create shared territories. The tool was developed in an iterative process. In the three cases, different versions of the tool were used during live workshops. After the cases and applying MissionMapping in other cases, the tool results in a flexible set that can be adapted to different purposes for a workshop and adopted by others who like to apply the tool. The article presents insights resulting from a cross-case analysis of applying the MissionMapping tool. One insight was that it is difficult to keep track of adjustments over time when the network dynamics change. Additionally, we found that while preparing the workshop, adjusting and printing the tiles cost time and are not easily transferable to others who might be interested in applying the tool. Navigating the mission resulted in increased enthusiasm for the topic at hand. The form factor also seems to contribute to a sense of agency. However, the increased agency does not automatically transfer to actions, as organisations are often inflexible. MissionMapping stimulates the development of a shared language through the landscape metaphor. This helps to cross boundaries in multidisciplinary networks. Capturing and transferring insights visually and digitally was quite challenging. Further exploration is needed to find an effective method. It is difficult to capture the impact of the MissionMaps and requires monitoring over time. For now, we conclude that it benefits collaboration, creates overviews in complex networks, and may fuel idea generation.
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The challenges we collectively face, such as climate change, are characterized by more complexity, interdependence, and dynamism than is common for educational practice. This presents a challenge for (university) education. These transition challenges are often described as wicked or VUCA (Volatile, Uncertain, Complex, and Ambiguous) problems. In response, educational innovations that are inspired by ecology such as living labs are starting to emerge, but little is known about how learners engage within and with these more ecological forms of education. This work is an exploratory study into how learners navigate VUCA learning environments linked to tackling sustainability transition challenges, with a focus on the positive qualities of these experiences. This is done through interpretative phenomenological analysis (IPA) of seven students (using semi-structured interviews) of the MSC Metropolitan Analysis, Design and Engineering program, a joint degree from Wageningen University and Delft University of Technology in the Netherlands. The main findings, which are both psychological and educational, of this exploration include openness to new experiences (1), flexibility (2), a process appreciation of learning (3), a desire to create a positive impact on one’s direct biophysical environment (4) and society (5). In addition, we discuss the potential limitations of the malleability of these different qualities and propose future avenues for research into ecological learning for universities. This work closes by highlighting recommendations for educators to consider when designing or engaging in ecological forms of higher education that connect students to sustainability transitions.
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Over the past decade, journalists have created in-depth interactive narratives to provide an alternative to the relentless 24-hour news cycle. Combining different media forms, such as text, audio, video, and data visualisation with the interactive possibilities of digital media, these narratives involve users in the narrative in new ways. In journalism studies, the convergence of different media forms in this manner has gained significant attention. However, interactivity as part of this form has been left underappreciated. In this study, we scrutinise how navigational structure, expressed as navigational cues, shapes user agency in their individual explorations of the narrative. By approaching interactive narratives as story spaces with unique interactive architectures, in this article, we reconstruct the architecture of five Dutch interactive narratives using the walkthrough method. We find that the extensiveness of the interactive architectures can be described on a continuum between closed and open navigational structures that predetermine and thus shape users’ trajectories in diverse ways.
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Background: A patient decision aid (PtDA) can support shared decision making (SDM) in preference-sensitive care, with more than one clinically applicable treatment option. The development of a PtDA is a complex process, involving several steps, such as designing, developing and testing the draft with all the stakeholders, known as alpha testing. This is followed by testing in ‘real life’ situations, known as beta testing, and then finalising the definite version. Our aim was developing and alpha testing a PtDA for primary treatment of early stage breast cancer, ensuring that the tool is considered relevant, valid and feasible by patients and professionals. Methods: Our qualitative descriptive study applied various methods including face-to-face think-aloud interviews, a focus group and semi-structured telephone interviews. The study population consisted of breast cancer patients facing the choice between breast-conserving therapy with or without preceding neo-adjuvant chemotherapy and mastectomy, and professionals involved in breast cancer care in dedicated multidisciplinary breast cancer teams. Results: A PtDA was developed in four iterative test rounds, taking nearly 2 years, involving 26 patients and 26 professionals. While the research group initially opted for simplicity for the sake of implementation, the clinicians objected that the complexity of the decision could not be ignored. Other topics of concern were the conflicting views of professionals and patients regarding side effects, the amount of information and how to present it. Conclusion: The development was an extensive process, because the professionals rejected the simplifications proposed by the research group. This resulted in the development of a completely new draft PtDA, which took double the expected time and resources. The final version of the PtDA appeared to be well-appreciated by professionals and patients, although its acceptability will only be proven in actual practice (beta testing)
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Facility management has recently met several inflection points that call for new working methods; therefore, IFMA must foster and facilitate discussions to help set a new course for the industry. FM should build upon a history of innovation and use the field's complexity and multidisciplinarity to its advantage. By understanding current and emergent end-user needs and societal requirements, FM practitioners can identify new opportunities for future development. By understanding how building layers interact across disparate time scales, facility managers can enact systemic change for the benefit of end users, organizations and communities. Facility managers have an opportunity to be at the forefront of transformative change and lead the industry to higher ground.
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The user experience of our daily interactions is increasingly shaped with the aid of AI, mostly as the output of recommendation engines. However, it is less common to present users with possibilities to navigate or adapt such output. In this paper we argue that adding such algorithmic controls can be a potent strategy to create explainable AI and to aid users in building adequate mental models of the system. We describe our efforts to create a pattern library for algorithmic controls: the algorithmic affordances pattern library. The library can aid in bridging research efforts to explore and evaluate algorithmic controls and emerging practices in commercial applications, therewith scaffolding a more evidence-based adoption of algorithmic controls in industry. A first version of the library suggested four distinct categories of algorithmic controls: feeding the algorithm, tuning algorithmic parameters, activating recommendation contexts, and navigating the recommendation space. In this paper we discuss these and reflect on how each of them could aid explainability. Based on this reflection, we unfold a sketch for a future research agenda. The paper also serves as an open invitation to the XAI community to strengthen our approach with things we missed so far.
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In May 2007, our Centre for Research in Intellectual Capital hosted the International Congress on Intellectual Capital: The future of business navigation. The Congress – which took place in Haarlem, The Netherlands – was attended by more than 140 participants from 23 countries. Based on almost 70 papers, we designed a conference program that consisted of more than 90 sessions. This special issue is based on a selection of the best papers of our conference.
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University teacher teams can work toward educational change through the process of team learning behavior, which involves sharing and discussing practices to create new knowledge. However, teachers do not routinely engage in learning behavior when working in such teams and it is unclear how leadership support can overcome this problem. Therefore, this study examines when team leadership behavior supports teacher teams in engaging in learning behavior. We studied 52 university teacher teams (281 respondents) involved in educational change, resulting in two key findings. First, analyses of multiple leadership types showed that team learning behavior was best supported by a shared transformational leadership style that challenges the status quo and stimulates team members’ intellect. Mutual transformational encouragement supported team learning more than the vertical leadership source or empowering and initiating structure styles of leadership. Second, moderator analyses revealed that task complexity influenced the relationship between vertical empowering team leadership behavior and team learning behavior. Specifically, this finding suggests that formal team leaders who empower teamwork only affected team learning behavior when their teams perceived that their task was not complex. These findings indicate how team learning behavior can be supported in university teacher teams responsible for working toward educational change. Moreover, these findings are unique because they originate from relating multiple team leadership types to team learning behavior, examining the influence of task complexity, and studying this in an educational setting. https://www.scienceguide.nl/2021/06/leren-van-docentteams-vraagt-om-gezamenlijk-leiderschap/
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The report from Inholland University is dedicated to the impacts of data-driven practices on non-journalistic media production and creative industries. It explores trends, showcases advancements, and highlights opportunities and threats in this dynamic landscape. Examining various stakeholders' perspectives provides actionable insights for navigating challenges and leveraging opportunities. Through curated showcases and analyses, the report underscores the transformative potential of data-driven work while addressing concerns such as copyright issues and AI's role in replacing human artists. The findings culminate in a comprehensive overview that guides informed decision-making in the creative industry.
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