University of British Columbia

About: University of British Columbia is a education organization based out in Vancouver, British Columbia, Canada. It is known for research contribution in the topics: Population & Poison control. The organization has 89939 authors who have published 209679 publications receiving 9226862 citations. The organization is also known as: UBC & The University of British Columbia.

Pervasive human-driven decline of life on Earth points to the need for transformative change

Abstract: The human impact on life on Earth has increased sharply since the 1970s, driven by the demands of a growing population with rising average per capita income. Nature is currently supplying more materials than ever before, but this has come at the high cost of unprecedented global declines in the extent and integrity of ecosystems, distinctness of local ecological communities, abundance and number of wild species, and the number of local domesticated varieties. Such changes reduce vital benefits that people receive from nature and threaten the quality of life of future generations. Both the benefits of an expanding economy and the costs of reducing nature's benefits are unequally distributed. The fabric of life on which we all depend-nature and its contributions to people-is unravelling rapidly. Despite the severity of the threats and lack of enough progress in tackling them to date, opportunities exist to change future trajectories through transformative action. Such action must begin immediately, however, and address the root economic, social, and technological causes of nature's deterioration.

Mining LMS data to develop an early warning system for educators: A proof of concept

Abstract: Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international research project investigating which student online activities accurately predict academic achievement. Analysis of LMS tracking data from a Blackboard Vista-supported course identified 15 variables demonstrating a significant simple correlation with student final grade. Regression modelling generated a best-fit predictive model for this course which incorporates key variables such as total number of discussion messages posted, total number of mail messages sent, and total number of assessments completed and which explains more than 30% of the variation in student final grade. Logistic modelling demonstrated the predictive power of this model, which correctly identified 81% of students who achieved a failing grade. Moreover, network analysis of course discussion forums afforded insight into the development of the student learning community by identifying disconnected students, patterns of student-to-student communication, and instructor positioning within the network. This study affirms that pedagogically meaningful information can be extracted from LMS-generated student tracking data, and discusses how these findings are informing the development of a customizable dashboard-like reporting tool for educators that will extract and visualize real-time data on student engagement and likelihood of success.

Depression and hypothalamic-pituitary-adrenal activation: a quantitative summary of four decades of research.

Abstract: Objectives To summarize quantitatively the literature comparing hypothalamic-pituitary-adrenal (HPA) axis function between depressed and nondepressed individuals and to describe the important sources of variability in this literature. These sources include methodological differences between studies, as well as demographic or clinical differences between depressed samples. Methods The current study used meta-analytic techniques to compare 671 effect sizes (cortisol, adrenocorticotropic hormone, or corticotropin-releasing hormone) across 361 studies, including 18,454 individuals. Results Although depressed individuals tended to display increased cortisol (d = 0.60; 95% confidence interval [CI], 0.54-0.66) and adrenocorticotropic hormone levels (d = 0.28; 95% CI, 0.16-0.41), they did not display elevations in corticotropin-releasing hormone (d = 0.02; 95% CI, -0.47-0.51). The magnitude of the cortisol effect was reduced by almost half (d = 0.33; 95% CI, 0.21-0.45) when analyses were limited to studies that met minimal methodological standards. Gender did not significantly modify any HPA outcome. Studies that included older hospitalized individuals reported significantly greater cortisol differences between depressed and nondepressed groups compared with studies with younger outpatient samples. Important cortisol differences also emerged for atypical, endogenous, melancholic, and psychotic forms of depression. Conclusions The current study suggests that the degree of HPA hyperactivity can vary considerably across patient groups. Results are consistent with HPA hyperactivity as a link between depression and increased risk for conditions, such as diabetes, dementia, coronary heart disease, and osteoporosis. Such a link is strongest among older inpatients who display melancholic or psychotic features of depression.