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    The decision-making process and the construction of online sociality through the digital storytelling methodology

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    Digital storytelling (DST) is a teaching methodology (and tool) that is very widespread in different types of training: formal and informal, professional, and for adults. Presently, education is evolving and moving towards digital storytelling, starting from the models of Lambert and Olher. Today, although DST is usually used in the training that students receive for narrative learning, experimentation on the psychological and social consequences of this online teaching practice is still scarce. The literature acknowledges the widespread use of DST online, from psychology to communication and from marketing to training, providing Lambert’s and Olher’s models as references. Thus, the purpose of experimentation in this subject has been to try to mix these two models by selecting the phases of the model that focus most on creativity and narrative writing. The purpose of this study is to illustrate the experimentation conducted in the initial training of teachers to monitor the processes of negotiating content, making decisions and building a group atmosphere through the use of a narrative technique in an educational context. The sample was offered comprehension activities on narrative categories, creativity and autobiographical writing. The process in the group choice phase (negotiation) of the story was monitored through a questionnaire that includes three scales (the Melbourne Decision Making Questionnaire, Organisational Attitude, and Negotiations Self-Assessment Inventory). The study concluded that the standardised planning of activities that, to a greater degree of depth, promote participation and emotional involvement allows the creation of strong group thinking and affects the decision-making and negotiation processes of the activities being carried out by the participants

    Connectivity in a real fragmented landscape: distance vs movement model based approaches.

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    Graph theory derived models and measures are increasingly being used to quantify landscape connectivity in order to contribute to conservation biology and management. This is particularly relevant in the case of real landscapes in which local actions may have crucial consequences for maintaining biodiversity on large scale. A number of graphs were compared sharing an identical node weight definition and whose link weights representing functional patch-connectivity, were derived from conceptually different approaches. Habitat suitability was taken into account. Calculated patch-connectivity was compared between all the graphs and these differences, evaluated by a set of indices describing network properties at the element structure level, were investigated
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