A social justice framework for safeguarding student learning engagement

The set of social justice principles and the Social Justice Framework (SJF), developed as resources for the sector as part of an Australian Government Office for Learning and Teaching project, adopt a recognitive approach to social justice and emphasise full participation and contribution within democratic society (Gale, 2000; Gale & Densmore, 2000). The SJF is contained within the major deliverable of the project, which is A Good Practice Guide for Safeguarding Student Learning Engagement (Nelson & Creagh, 2013) and is focused on good practice for activities that monitor student learning engagement and identify students at risk of disengaging in their first year. Examination of the social justice literature and its application to the higher education sector produced a set of five principles: Self-determination, Rights, Access, Equity and Participation. Each principle was defined and elucidated by a rationale and implications for practice, thus completing the SJF. The framework: reflects the notions of equity and social justice; provides a strategic approach for safeguarding engagement activities; and is supported by a suite of resources for practice and practitioners. The aim of this poster session is to engage in conversations about the SJF and how it might be applied to other types of student engagement activities critical to the first year of university life, such as orientation and transition programs, teamwork activities, peer programs and other academic support initiatives.

周期微纳结构器件传输特性的研究

Submitted by zhangdi (zhangdi@red.semi.ac.cn) on 2009-04-13T11:45:31Z

Transparent Scheduling of Composite Web Services

Composite Web Services (CWS) aggregate multiple Web Services in one logical unit to accomplish a complex task (e.g. business process). This aggregation is achieved by defining a workflow that orchestrates the underlying Web Services in a manner consistent with the desired functionality. Since CWS can aggregate atomic and other CWS they foster the development of service layers and reuse of already existing functionality. An important issue in the deployment of services is their run-time performance under various loads. Due to the complex interactions of the underlying services, a CWS they can exhibit problematic and often difficult to predict behaviours in overload situations. This paper focuses on the use of request scheduling for improving CWS performance in overload situations. Different scheduling policies are investigated in regards to their effectiveness in helping with bulk arrivals.