192 research outputs found

    The development, implementation and evaluation of a Constructivist learning approach based on personal construct psychology

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    This study involved the development, implementation and evaluation of a constructivist learning model based on Kelly\u27s (1955) Personal Construct Psychology (PCP). The thesis begins with a rationale for the use of PCP and then the instructional approach is derived from this theoretical basis. Following the derivation, examples of learning materials used in the implementation are presented. The second half of the thesis deals with data gathered before, during and after the implementation which occurred in two Year 9 science classes. The classes were part of a city high school in Western Australia

    Communities of Practice in Academic Administration: An Example from Managing Undergraduate Research at a Research-Intensive University

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    Inspired by the need to connect virtually during COVID-19 operations, a community of practice for facilitators of undergraduate research experiences was initiated at our university. Weekly virtual meetings quickly expanded to fill an unmet need for cross-campus support of research experiences more generally, including clarification of liability concerns, best practices for crafting inclusive application materials, culturally competent mentorship, and the abrupt transition to online research experiences. The resulting synergy of ideas also yielded significant new initiatives including an anti-racist research curriculum, federal grant proposals, and campus-wide outreach activities. The community of practice has continued to evolve with a sustainability focus, utilizing the model of a dedicated meeting facilitator and regular meeting times, coupled with responsiveness to pressing issues articulated by participants. Regular participants report improved outcomes for their students as a result of the community of practice discussions, as well as a space for personal and professional support and networking

    Perspectives of people with dementia and carers on advance care planning and end-of-life care: A systematic review and thematic synthesis of qualitative studies

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    Background: Advance care planning aims to ensure that care received during serious and chronic illness is consistent with the person’s values, preferences and goals. However, less than 40% of people with dementia undertake advance care planning internationally.Aim: This study aims to describe the perspectives of people with dementia and their carers on advance care planning and end-of-life care.Design: Systematic review and thematic synthesis of qualitative studies.Data sources: Electronic databases were searched from inception to July 2018.Results: From 84 studies involving 389 people with dementia and 1864 carers, five themes were identified: avoiding dehumanising treatment and care (remaining connected, delaying institutionalisation, rejecting the burdens of futile treatment); confronting emotionally difficult conversations (signifying death, unpreparedness to face impending cognitive decline, locked into a pathway); navigating existential tensions (accepting inevitable incapacity and death, fear of being responsible for cause of death, alleviating decisional responsibility); defining personal autonomy (struggling with unknown preferences, depending on carer advocacy, justifying treatments for health deteriorations); and lacking confidence in healthcare settings (distrusting clinicians’ mastery and knowledge, making uninformed choices, deprived of hospice access and support at end of life).Conclusion: People with dementia and their carers felt uncertain in making treatment decisions in the context of advance care planning and end-of-life care. Advance care planning strategies that attend to people’s uncertainty in decision-making may help to empower people with dementia and carers and strengthen person-centred care in this context

    \u201cGive, but Give until It Hurts\u201d: The Modulatory Role of Trait Emotional Intelligence on the Motivation to Help

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    Two studies investigated the effect of trait Emotional Intelligence (trait EI) on people\u2019s moti- vation to help. In Study 1, we developed a new computer-based paradigm that tested partic- ipants\u2019 motivation to help by measuring their performance on a task in which they could gain a hypothetical amount of money to help children in need. Crucially, we manipulated partici- pants\u2019 perceived efficacy by informing them that they had been either able to save the chil- dren (positive feedback) or unable to save the children (negative feedback). We measured trait EI using the Trait Emotional Intelligence Questionnaire\u2013Short Form (TEIQue-SF) and assessed participants\u2019 affective reactions during the experiment using the PANAS-X. Results showed that high and low trait EI participants performed differently after the presen- tation of feedback on their ineffectiveness in helping others in need. Both groups showed increasing negative affective states during the experiment when the feedback was negative; however, high trait EI participants better managed their affective reactions, modulating the impact of their emotions on performance and maintaining a high level of motivation to help. In Study 2, we used a similar computerized task and tested a control situation to explore the effect of trait EI on participants\u2019 behavior when facing failure or success in a scenario unre- lated to helping others in need. No effect of feedback emerged on participants\u2019 emotional states in the second study. Taken together our results show that trait EI influences the impact of success and failure on behavior only in affect-rich situation like those in which people are asked to help others in need

    Searching choices : quantifying decision-making processes using search engine data

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    When making a decision, humans consider two types of information: information they have acquired through their prior experience of the world, and further information they gather to support the decision in question. Here, we present evidence that data from search engines such as Google can help us model both sources of information. We show that statistics from search engines on the frequency of content on the Internet can help us estimate the statistical structure of prior experience; and, specifically, we outline how such statistics can inform psychological theories concerning the valuation of human lives, or choices involving delayed outcomes. Turning to information gathering, we show that search query data might help measure human information gathering, and it may predict subsequent decisions. Such data enable us to compare information gathered across nations, where analyses suggest, for example, a greater focus on the future in countries with a higher per capita GDP. We conclude that search engine data constitute a valuable new resource for cognitive scientists, offering a fascinating new tool for understanding the human decision-making process
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