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This chapter provides an overview of public engagement, its importance and effective approaches to meaningfully involve the public with coastal sustainability transitions. It presents two case studies, Guernsey, British Channel Islands and Cape Wind, Massachusetts. These illustrate how concepts of identity, marginality and engagement are essential to the development of coastal sustainability transitions. As the case study of Guernsey outlines, coastal sustainability transition-related public engagement should seek to enhance the local distinctiveness of coastal areas and 'fit within the wider narrative of place identity and how individuals feel attached to places that are ascribed with specific meanings'. Furthermore, as the case study of Cape Wind illustrates, coastal sustainability transitions need to connect with local communities in terms of addressing immediate social and economic concerns. Therefore, as a research agenda, the human geographies of coastal sustainability transitions can be of substantial value to the practical application of sustainability. © 2019 selection and editorial matter, C. Patrick Heidkamp and John Morrissey.
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Twitter users often crave more followers to increase their social popularity. While a variety of factors have been shown to attract the followers, very little work has been done to analyze the mechanism how Twitter users follow or unfollow each other. In this paper, we apply game theory to modeling the follow-unfollow mechanism on Twitter. We first present a two-player game which is based on the Prisoner’s Dilemma, and subsequently evaluate the payoffs when the two players adopt different strategies. To allow two players to play multiple rounds of the game, we propose a multi-stage game model. We design a Twitter bot analyzer which follows or unfollows other Twitter users by adopting the strategies from the multi-stage game. We develop an algorithm which enables the Twitter bot analyzer to automatically collect and analyze the data. The results from analyzing the data collected in our experiment show that the follow-back ratios for both of the Twitter bots are very low, which are 0.76%0.76%0.76\% and 0.86%0.86%0.86\%. This means that most of the Twitter users do not cooperate and only want to be followed instead of following others. Our results also exhibit the effect of different strategies on the follow-back followers and on the non-following followers as well.
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"A comics anthology that illustrates the complicated and multiple experiences of human reproduction and explores comics within the growing field of graphic medicine"--
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This mixed-methods study, including quantitative and qualitative measures, evaluated how a flipped classroom learning environment that included a hands-on experiential skills lab to teach play therapy improved student’s knowledge, attitude, and skills related to play therapy. Participating students (n = 18) completed the Play Therapy Knowledge, Attitudes, and Skills Survey (PTKASS) at the beginning and the end of the course. Students also reflected upon their experience in the skills lab each week in anonymous online feedback journals, which were analyzed at the conclusion of the semester for common themes by multiple coders. Students scores were significantly different on all subscales of the PTKASS: attitude (p = .0012), knowledge (p < .001), with the biggest growth in the skills subscale (p < .001). Through concurrent triangulation, these differences directly correlated to relevant qualitative themes that emerged from student feedback journals. The results of this study indicate strong support for the flipped classroom as an opportunity to develop graduate students’ knowledge, attitudes, and skills in play therapy. (PsycINFO Database Record (c) 2018 APA, all rights reserved)
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The present study employs an audience-centered approach to examine motivations for mobile fitness app use. We explicate and test an Integrated Technology Adoption model, which incorporates perspectives on competition, self-esteem, self-efficacy, and audience uses and gratifications. An online survey of 469 respondents reveals that app adoption intentions were predicted by internal competition orientations and gratifications, exercise self-efficacy, social utility motives, and attitudes toward the app. External competition decreased behavioral intentions related to app use. Study results thus provide support for an integrative model linking social cognitive factors with a new set of mobile app uses and gratifications.
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