Suchergebnisse

Introduction -- How we really learn -- Make learning a competitive advantage -- Embrace personalized learning -- Combat content overload -- Understand the power of peers -- Succeed with the right technology -- Analyze skills with data & insights -- Make expertise count -- Conclusion: the future is already here

As universities around Australia sever entire schools and faculties, others face collapse entirely. An over-dependence on international revenue and an unhappy marriage with the federal government had many universities already feeling some discomfort before COVID-19 exacerbated the pain. Whether universities rapidly decline, or languish and recover, they will undoubtedly see more violent restructuring as they transition into the recovery and renewal phase. In the meantime, the absence of any tangible assistance from the government, combined with mostly short-sighted cost reduction strategies, mean that a sector-wide crisis has now been left to individual universities to manage alone. As Teresa Tija et al. explain, 'The immediate response of Australian universities was to defer capital works spending, reduce non-salary expenditure, scale back the use of casual and fixed-term staff, and introduce other short-term measures' (2020: 3). These emergency surgeries, which in many cases have been performed without anaesthesia, reveal that universities need a more innovative ethical strategy for triaging and treating the many systemic disorders that the virus has not only aggravated but also exposed. As several academics have already observed, Australian universities were sick before the pandemic (Kunkler 2020; Zaglas 2020). Indeed, the commodification and destruction of 'all the collective institutions capable of counteracting the effects of the infernal machine' (Bourdieu 1998: 4) ensures that those commodified most — that is, the precariat — can do little to save the university from its self-cannibalising tendencies.

OBJECTIVE: The purpose of this study is to assess type 2 diabetes mellitus (T2DM) risk factors in grandparent caregivers living in a rural environment. METHODS: Clinical measures (hemoglobin A1c [HbA1c], blood pressure, and lipids) and self-reported data on social environment factors were attained. Data were analyzed via Pearson's correlation and regression models. RESULTS: By clinical definition of diabetes (HbA1c ≥ 6.5%), 21% were prediabetic and 28% had undiagnosed T2DM. There was an association between the number of individuals in the home and triglycerides (r = −.25), high-density lipoproteins (HDL; r = .43), and body mass index (BMI; r = .39). Guardianship status had a significant association with BMI (r = −.38). There was a significant association between low-density lipoprotein (LDL; r = −.32) and access to community shared resources. In the adjusted linear model, the number of grandchildren in the home had a significant relationship with HDL (β = .012, p = .021) whereas the number of individuals living in the home had a statistically significant relationship with HDL (β = .026, p < .000) and BMI (β = .046, p = .02). In addition, 15% of participants reported being food insecure. DISCUSSION: Efforts are needed to identify and screen at-risk populations living in geographically isolated areas. Considerations should be given to leveraging existing community resources for grandparent caregivers via schools, health systems, and government agencies to optimize health and well-being.

This volume considers world-making as the intersection of the fan pilgrimage experience and the responses of destinations. It examines the emerging field of popular culture tourism and its connection with fan studies and placemaking. It integrates theory and practice and provides evidence-based recommendations for popular culture destinations