39 research outputs found

    An Examination of Student and Faculty Perceptions Regarding Music Education Transfer Student Preparedness and Experiences

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    Transfer students account for growing numbers in four-year music education programs. To better understand this increasing population of students, researchers employed parallel method design. One strand investigated music education faculty members’ (n = 83) perceptions of transfer student preparedness, procedures, and expectations to understand admissions processes (e.g., curricula, assessments) employed to evaluate incoming transfer students. The other strand examined music education transfer students’ (n = 12) academic, social, and personal preparedness to study music education in a comprehensive four-year music education program. The following research questions served as a guide for data collection and analysis: (a) What themes emerged for students throughout the investigation of the transfer process? (b) What are transfer students’ perceptions of academic and musical preparedness once making the transition to four-year institutions? and (c) What are college professors’ perceptions of transfer students’ academic and musical preparedness upon arrival at four-year institutions? Findings from both student and faculty perspectives suggest that transfer students exhibit three common concerns throughout the transfer process. These concerns were academic, social, and personal. Further, transfer students’ preparedness also emerged as a theme mentioned by music faculty as an obstacle for incoming students. Themes also included performance on departmental diagnostic assessments, various modes of communication among music faculty (i.e., applied, classroom), students, and university/college administrative personnel. Researchers provide an analysis and suggestions for addressing these concerns from multiple perspectives as well as suggestions for future research

    Network Sensitivity of Systemic Risk

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    A growing body of studies on systemic risk in financial markets has emphasized the key importance of taking into consideration the complex interconnections among financial institutions. Much effort has been put in modeling the contagion dynamics of financial shocks, and to assess the resilience of specific financial markets - either using real network data, reconstruction techniques or simple toy networks. Here we address the more general problem of how shock propagation dynamics depends on the topological details of the underlying network. To this end we consider different realistic network topologies, all consistent with balance sheets information obtained from real data on financial institutions. In particular, we consider networks of varying density and with different block structures, and diversify as well in the details of the shock propagation dynamics. We confirm that the systemic risk properties of a financial network are extremely sensitive to its network features. Our results can aid in the design of regulatory policies to improve the robustness of financial markets

    Network sensitivity of systemic risk

    Get PDF
    A growing body of studies on systemic risk in financial markets has emphasized the key importance of taking into consideration the complex interconnections among financial institutions. Much effort has been put into modeling the contagion dynamics of financial shocks and into assessing the resilience of specific financial markets, either using real network data, reconstruction techniques or simple toy networks. Here, we address the more general problem of how shock propagation dynamics depend on the topological details of the underlying network. To this end, we consider different realistic network topologies, all consistent with balance sheet information obtained from real data on financial institutions. In particular, we consider networks of varying density and with different block structures. In addition, we diversify in the details of the shock propagation dynamics. We confirm that the systemic risk properties of a financial network are extremely sensitive to its network features. Our results can aid in the design of regulatory policies to improve the robustness of financial markets

    Centros de Saúde: ciência e ideologia na reordenação da saúde pública no século XX

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