Browsing by Subject "problem solving"

Now showing 1 - 3 of 3
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    Design Thinking Collaboration: Changing How Companies Solve Problems
    (2014-08) Lund, Deanna R.
    Companies in office environments have a need for employees who are skilled in solving complex problems in order to develop innovative products and services to stay competitive in a global economy. This study investigates how three companies located in Minnesota are currently using the approach of design thinking to increase innovation. Interviews and observations of the companies are compiled into recommendations for other companies to use as a guide for incorporating design thinking into their organizational practices. Several skills emerged from the findings as critical to the design thinking approach; these skills could inform the type of training needed in the future for all levels of educational development.
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    The Roles of Convergent, Divergent Thinking, and Contextual Focus during Scientific Reasoning: Birth of the “Z” Model
    (2019-09) Quillien, Jean-Baptiste
    The aim of this paper is to bridge the process of scientific reasoning with the field of cognitive science, and more specifically, the cognitive mechanisms involved during reasoning. This intent of bridging scientific reasoning with cognitive mechanisms gave birth to a new model: the “Z” model of scientific reasoning. This model integrates the traditional scientific reasoning steps while depicting the cognitive mechanisms and mental flexibilities at use during reasoning. The goal of this experiment was to test the “Z” model and thus investigate the role of divergent and convergent thinking during scientific reasoning. In addition, the “Z” model highlights the importance of Contextual Focus during scientific reasoning. Contextual Focus is defined as the cognitive shift between modes of thoughts. Contextual Focus was tested to investigate its predictive power on our specific measure of scientific reasoning (Bouncing Ball Reasoning Task; BBRT) and a broader measure of scientific reasoning (Lawson Test of Scientific Reasoning; LTSR). In addition, the predictive power over scientific reasoning performances of Intellect and Openness, the personality traits of interest, was also tested. First, we hypothesized that participants experimentally primed to think divergently should perform better during the exploration of the problem space during a scientific reasoning task (Phase 1 of BBRT). As predicted, participants in the divergent thinking group generated on average more hypotheses than the participants in the convergent thinking and the control groups. Secondly, we hypothesized that participants experimentally primed to think convergently should perform better during the exploitation of the evaluative space during a scientific reasoning task (Phase 2 of BBRT). As predicted, participants in the convergent thinking group displayed on average fewer categorical errors than the participants in the divergent thinking or the control groups. In addition, Contextual Focus was found to be a significant predictor of the overall performance in exploring the problem space of our specific scientific reasoning problem. Intellect score over broader scientific reasoning (LTSR) performance, Contextual Focus and Intellect were found to be significant predictors of broader scientific reasoning (LTSR) performance. Those findings can also be interpreted with broader cognitive science lenses. Given that complex mental tasks such as problem solving and critical thinking also require divergent and convergent thinking, future research should test whether the priming used during our experimental protocol also leads to an advantage on more general reasoning tasks.