785 research outputs found

    The impact of augmented reality on curriculum and training design

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    Augmented reality (AR) is a relatively emerging technology that is being applied in a somewhat exploratory stage, for training design and curriculum development. In this review, 30 articles were selected and analyzed to identify some current uses of augmented reality in training and curriculum design. Four major themes were identified: 1) a brief introduction about AR; 2) the current uses of AR in curriculum and training development, 3) a review of the effects AR has on student engagement, and 4) the future implications of augmented reality in curriculum and training development. Recommendations for the future are also discussed

    On J.M. Grandmont's Modelling of Behavioral Heterogeneity

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    J.M. Grandmont claims in his paper "Transformations of the Commodity Space, Behavioral Heterogeneity, and the Aggregation Problem" (1992) to model "behavioral heterogeneity". By a specific parametrization he defines a subset of all demand functions and assumes that the distribution of the parameters is getting more dispersed (increasing flatness of the density function). This increasing dispersedness of the parameters is interpreted as "increasing heterogeneity" of the population of households described by the distribution of demand functions. But, due to the specific parametrization, increasing dispersedness of the parameters leads to an increasing concentration of the demand functions. Therefore, roughly speaking, Grandmont rather models increasing "behavioral similarity".Aggregate Demand, Aggregation, Behavioral Heterogeneity

    Survey research with families in the context of pediatric chronic health conditions : key considerations and future directions

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    Self-report family functioning measures play a critical role in advancing our understanding of how families are impacted by, and adapt to, the demands of childhood health conditions. In this article, we present key considerations when conceptualizing, assessing, and analyzing dynamic family processes in research; discuss related implications for selecting instruments; and provide an update on the evidence base of self-report family functioning measures. Researchers need to consider theory, definitions of the family, informants, instruments, and procedural and data analytic issues when designing family research. Examples of questionnaires assessing general family functioning, dyadic relationships, and family functioning within the context of pediatric health conditions are provided. Additional evidence of validity, reliability, clinical utility, and cultural sensitivity of these measures is needed within pediatric chronic illness populations. Future research should include multiple family members and utilize varied assessment methods to obtain a comprehensive understanding of family functioning in the context of pediatric health conditions

    You May Call Me Professor: Professor Form of Address in Email Communication and College Student Reactions to Not Knowing What to Call Their Professors

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    This experimental study tested whether a professor’s form of address (FOA) and email signature influenced students’ perceptions of the professor’s credibility, approachability, and likability. Guided by communication accommodation theory, the study investigated the likelihood that students would reciprocate a professor’s FOA in email communication. Participants were randomly assigned to one of seven conditions varying by professor FOA (doctor, professor, first name) and email signature (present or not), with a signature only control condition. Results indicated students were more likely to reciprocate the FOA when an email signature was not present. Open-ended responses suggested students perceive instructors more positively when instructors specify a FOA and feel anxious and uncertain when professors do not specify a FOA

    Generic Uniqueness of Equilibrium in Large Crowding Games

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    Epigeneti-What? Approaches on Translating Research for Primary Breast Cancer Prevention

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    In fiscal year 2017, the National Cancer Institute devoted more than a half billion dollars to breast cancer research. Since 2012, the total investment has been more than $3 billion. Despite this significant investment, breast cancer still has no known immediate causes as it generally develops over the life course. Therefore, research is unable to provide the public any sort of magic bullet, or conclusive link between certain environmental exposures and the development of breast cancer later in life. What research is only able to report are likelihoods—possible links—things people might want to consider avoiding or doing in their everyday lives to reduce their future risks of developing breast cancer. This abundance of rigorously performed, albeit causally inconclusive, research focused on “plausible” links poses a challenge for health communicators who are tasked with seeking to find ways to translate this science into advice that people can act upon today. However, if society must wait for the science to provide 100% conclusive evidence before anyone ever takes action, how many lives could have been saved in the interim? Therefore, we advocate a two-pronged approach to translating scientific findings regarding environmental exposures and breast cancer prevention: a bottom-up approach—focused on informing the lay public and individuals, while simultaneously performing a top-down approach—focused on influencing policymakers. The current perspective analyzes the strengths and weaknesses to both of these approaches, and encourages scientists to work closely with health communicators to develop theoretically-driven strategies to drive positive changes over time
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