The methodology of biomimicry design thinking is based on and builds upon the overarching patterns that all life abides by. “Cultivating cooperative relationships” within an ecosystem is one such pattern we as humans can learn from to nurture our own mutualistic and symbiotic relationships. While form and process translations from biology to design have proven accessible by students learning biomimicry, the realm of translating biological functions in a systematic approach has proven to be more difficult. This study examines how higher education students can approach the gap that many companies in transition are struggling with today; that of thinking within the closed loops of their own ecosystem, to do good without damaging the system itself. Design students should be able to assess and advise on product design choices within such systems after graduation. We know when tackling a design challenge, teams have difficulties sifting through the mass of information they encounter, and many obstacles are encountered by students and their professional clients when trying to implement systems thinking into their design process. While biomimicry offers guidelines and methodology, there is insufficient research on complex, systems-level problem solving that systems thinking biomimicry requires. This study looks at factors found in course exercises, through student surveys and interviews that helped (novice) professionals initiate systems thinking methods as part of their strategy. The steps found in this research show characteristics from student responses and matching educational steps which enabled them to develop their own approach to challenges in a systems thinking manner. Experiences from the 2022 cohort of the semester “Design with Nature” within the Industrial Design Engineering program at The Hague University of Applied Sciences in the Netherlands have shown that the mixing and matching of connected biological design strategies to understand integrating functions and relationships within a human system is a promising first step. Stevens LL, Whitehead C, Singhal A. Cultivating Cooperative Relationships: Identifying Learning Gaps When Teaching Students Systems Thinking Biomimicry. Biomimetics. 2022; 7(4):184. https://doi.org/10.3390/biomimetics7040184
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Societal actors across scales and geographies increasingly demand visual applications of systems thinking – the process of understanding and changing the reality of a system by considering its whole set of interdependencies – to address complex problems affecting food and agriculture. Yet, despite the wide offer of systems mapping tools, there is still little guidance for managers, policy-makers, civil society and changemakers in food and agriculture on how to choose, combine and use these tools on the basis of a sufficiently deep understanding of socio-ecological systems. Unfortunately, actors seeking to address complex problems with inadequate understandings of systems often have limited influence on the socio-ecological systems they inhabit, and sometimes even generate unintended negative consequences. Hence, we first review, discuss and exemplify seven key features of systems that should be – but rarely have been – incorporated in strategic decisions in the agri-food sector: interdependency, level-multiplicity, dynamism, path dependency, self-organization, non-linearity and complex causality. Second, on the basis of these features, we propose a collective process to systems mapping that grounds on the notion that the configuration of problems (i.e., how multiple issues entangle with each other) and the configuration of actors (i.e., how multiple actors relate to each other and share resources) represent two sides of the same coin. Third, we provide implications for societal actors - including decision-makers, trainers and facilitators - using systems mapping to trigger or accelerate systems change in five purposive ways: targeting multiple goals; generating ripple effects; mitigating unintended consequences; tackling systemic constraints, and collaborating with unconventional partners.
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In many schools teaching learners is conducted in isolation, and often, so is teachers’ learning. Isolation hinders shared practices; it creates a key challenge for those in middle leadership roles who must foster collaborative professional development. This study examines how a system perspective empowers aspiring middle leaders to develop their capacity for teacher leadership – leading instructional improvement through expertise and collaboration rather than formal authority. Participants (n = 10), all experienced teachers in a Dutch master’s programme preparing them for middle leadership positions, engaged with two tools: causal loop diagrams (CLDs) to map systemic interactions, and the ‘Colours of Change’ model to strategize interventions. Findings indicate that adopting a system perspective enhanced participants’ diagnostic capability, strategic thinking, and confidence as change agents. This study positions systems thinking tools as practical means to develop the teacher leadership capacities essential for middle leaders to navigate complex educational environments and drive sustainable improvement.
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Systems thinking is a complex skill for learners in secondary education. We argue that qualitative representations can be valuable tools to actively engage in learning this skill. However, the effectiveness of these tools is currently hampered by complexity and the lack of instructional embedding. In this contribution, we present our developments on scaffolds for learning, instructional formats, and automated support in order to unleash the potential of qualitative representations for secondary education.
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We developed an application which allows learners to construct qualitative representations of dynamic systems to aid them in learning subject content knowledge and system thinking skills simultaneously. Within this application, we implemented a lightweight support function which automatically generates help from a norm-representation to aid learners as they construct these qualitative representations. This support can be expected to improve learning. Using this function it is not necessary to define in advance possible errors that learners may make and the subsequent feedback. Also, no data from (previous) learners is required. Such a lightweight support function is ideal for situations where lessons are designed for a wide variety of topics for small groups of learners. Here, we report on the use and impact of this support function in two lessons: Star Formation and Neolithic Age. A total of 63 ninth-grade learners from secondary school participated. The study used a pretest/intervention/post-test design with two conditions (no support vs. support) for both lessons. Learners with access to the support create better representations, learn more subject content knowledge, and improve their system thinking skills. Learners use the support throughout the lessons, more often than they would use support from the teacher. We also found no evidence for misuse, i.e., 'gaming the system', of the support function.
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In this paper, we discuss the pedagogical approach of two lessons that are aimed at learning domain knowledge and systems thinking simultaneously using qualitative representations. Next to understanding basic cause-effect relationships, these lessons focus on the notion that systems can move through different states of behavior. An additional focus concerns system boundaries and distinguishing between what is part-of and not part-of a system.
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Preliminary empirical research conducted by the leading author has shown that design students using biological analogies, or models across different contexts, often misinterpreted these, intentionally or unintentionally, during design. By copying shape or form without integrating the main function of the mimicked biological model, students failed to consider the process or system directing that function when attempting to solve the design need. This article considers the first step in the development of an applicable educational model using distant analogies from nature, by means of biomimicry thinking methodology. The analysis examines results from a base-line exercise taken by students in the Minor Design with Nature during the Spring semester of Industrial Design Engineering at The Hague University of Applied Sciences in 2019, verifying that students without biomimicry training use this hollow approach automatically. This research confirms the gap between where students are at the beginning of the semester and where they need to be as expert sustainable designers when they graduate. These findings provide a starting point for future interventions in biomimicry workshops to improve systematic design thinking through structural and scientifically based iterations of analogical reasoning. https://doi.org/10.1007/s10798-020-09574-1 LinkedIn: https://www.linkedin.com/in/helenkopnina/
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We are currently in a transition moving from a linear economy grounded on economic value maximization based on material transformation to a circular economy. Core of this transition is organising value preservation from various yet interlinked perspectives. The underlying fundamental shift is to move away from mere financial value maximization towards multiple value creation (WCED, 1987; Jonker, 2014; Raworth, 2017). This implies moving from mere economic value creation, to simultaneously and in a balanced way creating ecological and social value. A parallel development supporting this transition can be observed in accounting & control. Elkington (1994) introduced the triple bottom line (TBL) concept, referring to the economic, ecological and social impact of companies. The TBL should be seen more as a conceptual way of thinking, rather than a practical innovative accounting tool to monitor and control sustainable value (Rambaud & Richard, 2015). However, it has inspired accounting & control practitioners to develop accounting tools that not only aim at economic value (‘single capital’ accounting) but also at multiple forms of capital (‘multi capital’ accounting or integrated reporting). This has led to a variety of integrated reporting platforms such as Global Reporting Initiative (GRI), International Integrated Reporting Framework (IIRC), Dow Jones Sustainable Indexes (DJSI), True Costing, Reporting 3.0, etc. These integrated reporting platforms and corresponding accounting concepts, can be seen as a fundament for management control systems focussing on multiple value creation. This leads to the following research question: How are management control systems designed in practice to drive multiple value creation?
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Computational thinking (CT) has become a necessity in many professional domains. As such, scholars argue that the acquisition of CT and application should be embedded in existing school subjects. Within the CT literature, a tax-onomy distinguishes CT practices in STEM education into four categories: data related, systems thinking, modeling & simulation and computational problem solving (CPSP). Practical applications of these different categories are still limited. This paper presents three examples in which edu-cators of science teachers integrate CT within STEM con-tent knowledge using the above mentioned taxonomy. The first example applies to CPSP and data practices, the sec-ond to CPSP exclusively, the final to systems thinking and modeling & simulation. The examples provide practical insight that makes the use of CT in STEM education more tangible for practitioners.
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This paper presents three lesson activities for upper secondary and higher education that focus on learning by constructing an interactive qualitative representation. By constructing the representation learners learn domain knowledge as well as general system thinking skills. The learning goals and the pedagogical approach are described.
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