1,331,774 research outputs found

    Interaction with rule-bound systems : introducing a new 'ideal type' problem context

    Get PDF
    This PhD thesis introduces a new ideal-type problem context of rule-bound systems. The thesis has been generated through a belief in the ability of metaphor to make the abstract visible, its capacity to make the unfamiliar familiar, and its effectiveness as a legitimate means of generating insight and organizing knowledge. Metaphorical description remains an integral part of this thesis from beginning to end.It shows how the new context of rule-bound systems provides closure of the ideal problem context grid along the participants access. Following the ideas that created the basis for this closure, insight into a new role for systems practitioners is provided and the ideal problem context grid developed to form of a Torus.Part 1 outlines the theoretical foundations and other inspirations that underpin the thesis. Grounded on a wider definition of rules, including rules in both a formal and informal sense, multiple ways of viewing rules are highlighted. The characteristics of rule-bound systems are identified, drawing comparisons with other 'ideal-types'. Suggestions are also drawn out as to how change might be affected in a rule-bound context. Part II of this thesis is an account of a real world intervention informed by Critical Systems Thinking, carried out under the auspices of Participatory Action Research. A number of systems research methods and concepts were employed to investigate the participation of students in policy making in two contrasting senior schools in the North of England - organizations believed to present many of the characteristics of the rule-bound system. The approach used was one mixing methods, specifically, the creation of a symbiotic relationship between Soft Systems Methodology and Critical Systems Heuristics. Part III describes the process of reflection undertaken and the conclusion to the thesis

    Systems thinking: critical thinking skills for the 1990s and beyond

    Get PDF
    This pdf article discusses the need for teaching systems thinking and critical thinking skills. Systems thinking and systems dynamics are important for developing effective strategies to close the gap between the interdependent nature of our problems and our ability to understand them. This article calls for a clearer view of the nature of systems thinking and the education system into which it must be transferred. Educational levels: Graduate or professional

    Sociohydrologic Systems Thinking: An Analysis of Undergraduate Students’ Operationalization and Modeling of Coupled Human-Water Systems

    Get PDF
    One of the keys to science and environmental literacy is systems thinking. Learning how to think about the interactions between systems, the far-reaching effects of a system, and the dynamic nature of systems are all critical outcomes of science learning. However, students need support to develop systems thinking skills in undergraduate geoscience classrooms. While systems thinking-focused instruction has the potential to benefit student learning, gaps exist in our understanding of students’ use of systems thinking to operationalize and model SHS, as well as their metacognitive evaluation of systems thinking. To address this need, we have designed, implemented, refined, and studied an introductory-level, interdisciplinary course focused on coupled human-water, or sociohydrologic, systems. Data for this study comes from three consecutive iterations of the course and involves student models and explanations for a socio-hydrologic issue (n = 163). To analyze this data, we counted themed features of the drawn models and applied an operationalization rubric to the written responses. Analyses of the written explanations reveal statistically-significant differences between underlying categories of systems thinking (F(5, 768) = 401.6, p \u3c 0.05). Students were best able to operationalize their systems thinking about problem identification (M = 2.22, SD = 0.73) as compared to unintended consequences (M = 1.43, SD = 1.11). Student-generated systems thinking models revealed statistically significant differences between system components, patterns, and mechanisms, F(2, 132) = 3.06, p \u3c 0.05. Students focused most strongly on system components (M = 13.54, SD = 7.15) as compared to related processes or mechanisms. Qualitative data demonstrated three types of model limitation including scope/scale, temporal, and specific components/mechanisms/patterns excluded. These findings have implications for supporting systems thinking in undergraduate geoscience classrooms, as well as insight into links between these two skills

    Individual emergence in contextual analysis

    Get PDF
    Located within the tradition of Hermeneutic Dialectics (HD) this paper offers an approach which can further an analysis of a fit between information and organizational systems. Drawn upon Information Systems Development projects a relationship between theory and practice is aided through a multi-disciplinary approach to sense making activity. Using a contemporary version of contextual analysis to understand a way in which individuals construct adapt and create meaning from their environment offers a route to improve a systems analysis process. This type of enquiry into contextual dependencies of knowledge creation can help direct a development of systems that have the intention to serve specific organizational actors and their needs. Combining methods outside of a traditional polar divide, sense making research undertaken within a systems thinking arena can enrich understanding by complementing qualitative and / or quantitative analysis with reflective depth. Drawing together interdisciplinary strands through a critical systems thinking approach offers new levels of professionalism for computer- and management-, practitioners or researchers in the 21st Century
    corecore