The Design, Implementation and Outcomes of a Mentoring Program

This paper reports on the design, implementation and outcomes of a mentoring program involving 18 employees in the IT Division of WorkCover Queensland. The paper provides some background information to the development of the program and the design and implementation phases including recruitment and matching of participants, orientation and training, and the mentoring process including transition and/or termination. The paper also outlines the quantitative and qualitative evaluation processes that occurred and the outcomes of that evaluation. Results indicated a wealth of positive individual, mentoring, and organisational outcomes. The organisation and semi-structured processes provided in the program are considered as major contributing factors to the successful outcomes of the program. These outcomes are likely to have long-term benefits for the individuals involved, the IT Division, and the broader organisation

Improving the Flexibility of Active Grids through Web Services

Active Grids are a form of grid infrastructure where the grid network is active and programmable. These grids directly support applications with value added services such as data migration, compression, adaptation and monitoring. Services such as these are particularly important for eResearch applications which by their very nature are performance critical and data intensive. We propose an architecture for improving the flexibility of Active Grids through web services. These enable Active Grid services to be easily and flexibly configured, monitored and deployed from practically any platform or application. The architecture is called WeSPNI ('Web Services based on Programmable Networks Infrastructure'). We present the architecture together with some early experimental results on using web services to monitor data movement in an active grid.

Semi-active control for structural vibration based on predictive algorithm [Chinese title = 基于预测算法的结构振动半主动控制]

Based on Newmark-β method, a structural vibration response is predicted. Through finding the appropriate control force parameters within certain ranges to optimize the objective function, the predictive control of the structural vibration is achieved. At the same time, the numerical simulation analysis of a two-storey frame structure with magneto-rheological (MR) dampers under earthquake records is carried out, and the parameter influence on structural vibration reduction is discussed. The results demonstrate that the semi-active control based on Newmark-β predictive algorithm is better than the classical control strategy based on full-state feedback control and has remarkable advantages of structural vibration reduction and control robustness.

Building mentoring capacities in experienced teachers

While teacher education equips beginning teachers with critical knowledge and skills about teaching and fosters an understanding of learning in and from teaching some of the most critical elements of teaching are only learned in the workplace when beginning teachers commence their professional teaching careers. This transition to professional practice may be facilitated by mentoring from a more experienced teacher. Expert mentoring assists beginning teachers to build their teaching capacities more quickly and also lays the foundation for innovative professional practice. However, the presence of a mentor alone is not sufficient with the success of mentoring reliant on the skills and knowledge of mentors. Mentoring relationships are most effective when mentors are trained for their roles. While mentor preparation is the single most important factor in contributing to mentoring success, few teachers receive formal training to prepare them adequately for mentoring roles. The purpose of this paper is to report on the implementation of a mentoring development program designed to build mentoring capacities in experienced teachers. The program was trialled in a school in rural Australia. A range of qualitative data was collected from participants over the duration of the mentoring program and follow up data collected six months subsequent to the conclusion of the program.

Mentoring preservice teachers in primary mathematics

A literature-based instrument gathered data about 147 final-year preservice teachers’ perceptions of their mentors’ practices related to primary mathematics teaching. Five factors characterized effective mentoring practices in primary mathematics teaching had acceptable Cronbach alphas, that is, Personal Attributes (mean scale score=3.97, SD [standard deviation]=0.81), System Requirements (mean scale score=2.98, SD=0.96), Pedagogical Knowledge (mean scale score=3.61, SD=0.89), Modelling (mean scale score=4.03, SD=0.73), and Feedback (mean scale score=3.80, SD=0.86) were .91, .74, .94, .89, and .86 respectively. Qualitative data (n=44) investigated mentors’ perceptions of mentoring these preservice teachers, including identification of successful mentoring practices and ways to enhance practices.

Employing the five-factor mentoring instrument : analysing mentoring practices for teaching primary science.

Primary science education is a concern around the world and quality mentoring within schools can develop preservice teachers’ practices. A five-factor model for mentoring has been identified, namely, personal attributes, system requirements, pedagogical knowledge, modelling, and feedback. Final-year preservice teachers (mentees, n=211) from three Turkish universities were administered a previously validated instrument to gather perceptions of their mentoring in primary science teaching. ANOVA indicated that each of these five factors was statistically significant (p<.001) with mean scale scores ranging from 3.36 to 4.12. Although mentees perceived their mentors to provide evaluation feedback (95%), model classroom management (88%), guide their preparation (96%), and outline the science curriculum (92%), the majority of mentors were perceived not to assist their mentees in 10 of the 34 survey items. Professional development programmes that target the specific needs of these mentors may further enhance mentoring practices for advancing primary science teaching.

Principals as architects of formal mentoring programs in schools

An important responsibility of principals in schools is fostering a healthy learning-rich environment for both staff and students. Previous research (Duignan & Gurr, 2008; Ehrich, 1998; Leithwood & Day, 2007; Nias, Southworth, & Campbell, 1992) has shown that effective principals create opportunities for teachers to learn with and from each other. For instance, they are involved in establishing supportive structures and creating environments for collaboration and learning to take place (Leithwood & Day, 2007). They do this in a variety of ways such as providing resources and professional development opportunities, structuring time for staff to learn and work together, and establishing a host of other conditions to facilitate learning and sharing.