Design fixation is a phenomenon experienced by professional designers and engineering design students that stifles creativity and innovation through discouraging ideational productivity, fluency and diversity. During the design idea and concept generation phase of the design process, a reliance on perceptual surface feature similarities between design artefacts increases the likelihood of design fixation leading to design duplication. Psychologists, educators and designers have become increasingly interested in creative idea generation processes that encourage innovation and entrepreneurial outcomes. However, there is a notable lack of collaborative research between psychology, education and engineering design particularly on inductive reasoning of undergraduate engineering students in higher education. The data gathered and analysed for this study provides an insight into property inference decision-making preferences and decision switching (SWITCH) patterns of engineering undergraduates under similarity-based inductive judgements [SIM] and category-based inductive judgements [CAT]. For this psychology experiment, property induction tasks were devised using abstract shapes in a triad configuration. Participants (N = 180), on an undergraduate engineering programme in London, observed a triad of shapes with a target shape more similar-looking to one of two given shapes. Factors manipulated for this experiment included category alignment, category group, property type and target shape. Despite the cognitive development and maturation stage of undergraduate engineers (adults) in higher education, this study identified similarity-based inductive judgements [SIM] to play a significant role during inductive reasoning relative to the strength of category-based inductive judgements [CAT]. In addition to revealing the property inference decision-making preferences of a sample of undergraduate engineers (N = 180), two types of switch classification and two types of non-switch classification (SWITCH) were found and named SIM_NCC, SIM-Salient, Reverse_CAT and CAT_Switching. These different classifications for property inference switching and non-switching presented a more complex pattern of decision-making driven by the relative strength between similarity-based inductive judgements [SIM] and category-based inductive judgements [CAT]. The conditions that encouraged CAT_Switching is of particular interest to design because it corresponds to inference decision switching that affirms the sharing of properties between dissimilar-looking shapes designated as category members, i.e., in a conflicting category alignment condition (CoC). For CAT_Switching, this study found a significant interaction between a particular set of conditions that significantly increased the likelihood of property inference decisions switching to affirm the sharing of properties between dissimilar-looking shapes. Stimuli conditions that combined a conflicting category alignment condition (where dissimilar-looking shapes belong to the same category) with category specificity, a causal property and a target shape with merged (or blended) perceptual surface features significantly increased the likelihood of a property inference decision switching. CAT_Switching has important implications for greater ideational productivity, fluency and diversity to discourage design fixation within the conceptual design space. CAT_Switching conditions could encourage more creative design transformations with alternative design functions through inductive inferences that generalise between dissimilar artefact designs. The findings from this study led to proposing a Cartesian view of the concept design space to represent the possibilities for greater movements through flexible and expanding category boundaries to encourage conceptual combinations, greater ideational fluency and greater ideational diversity within a configuration design space. This study has also created a platform for further research into property inference decision-making, ideational diversity and category boundary flexibility under stimuli conditions that encourage designers and design students to make inductive generalisations between dissimilar domains of knowledge through a greater emphasis on causal relations and semantic networks.

This study analysed the learning environment of undergraduate medical and health sciences students of the School of Medicine University of Zambia who were studying at the Ridgeway Campus. Premised on the theory that learner’s perception of the learning environment determines approach to learning and learning outcome, the study utilized a descriptive, quantitative, and non-experimental design to articulate the issues that characterise the learning environment of the programmes. The aim was to provide framework based on these, and use it to propose a strategy for improving the learning environment of the School. The Dundee Ready Educational Environment Measure (DREEM) questionnaire was administered to 448 participants from year 2 to year 7 classes of medicine, pharmacy, and physiotherapy programmes. Total DREEM, subscale, and individual items’ scores were analysed statistically and compared by analysis of variance among the programmes. The issues determined formed the framework for strategy development, and strategic options were proposed based on evidence obtained from literature. With a global DREEM score of 119.3 ± 21.24 (59.7 %), the students perceived their learning environment as “more positive than negative.” One sample binomial test of hypothesis for categorical variables returned a p value <0.05, with a verdict to ‘reject the null hypothesis,’ thereby confirming a more positive than negative perception. Subscale scores also showed ‘more positive’ perception. There were no significant differences between scores from the different programmes when compared by Games Howell test, P> 0.05, thereby upholding the second hypothesis. Analysis of individual items revealed problems in six items, which were summarised into four strategic ssues: inadequate social support for stressed students, substandard teaching and mentoring, unpleasant accommodation, and inadequate physical facilities. The implications of the findings for theory and practice were discussed and strategic options proposed to address the issues. The study concludes that analysis of the learning environment of medical schools provides more insight for strategic planning and management. / Health Studies / D.Litt. et Phil. (Health Studies)

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