Mid-Career professionals in STEM transiting to school teaching : barriers at the border

In many countries there is a shortage of quality teachers in areas of science, technology, engineering and mathematics (STEM). Additional to the low levels of recruitment is an extraordinary high attrition rate with some 50% of beginning teachers leaving the profession within five years. One solution implemented in several countries has been to encourage mid-career professionals in the area of STEM to become school teachers. These professionals are said to bring to teaching enthusiasm, knowledge and a passion for their subject which will impact engagement and learning by students. However, these career-changers have constructed professional identities and are accustomed to working within a culture of collaboration and inquiry. In contrast, school cultures are quite different and often teaching is a lonely solitary affair with little opportunity for collegial relationships aimed at knowledge building in the context of teaching. Crossing from a culture of STEM to a culture of schools and teaching can be challenging. This study was conducted with 13 teachers who were followed for three years. However, this paper reports on the experiences of one teacher with an engineering background crossing the boundaries from practising STEM to Teaching STEM.

From outpost to outback : project career paths in Australia

With the growth in project management as a form of work organisation in many sectors of the economy has come the significant rise in the number of project managers and project team members. This change in work organisation brings issues in forging career paths and determining career support in work situations that are often dynamic, short lived and intense. In the relatively small but substantially robust Australian economy, a unique labour market and the tyranny of distance bring their own difficulties. Innovative and collaborative project structures and increasing prevalence of contract work provide both challenges and opportunities for new career pathways in many industries. A growing percentage of Australia's workforce is employed in project-based or project-oriented organisations, leading to the claim that Australia is a project-based economy. This provided a context for our research into the career paths and the issues of career management for project managers working in a project based economy. Using in-depth interviews with project managers from three industry areas we found generational and gender differences in experiences of work, workplace support and mentoring for career development. For a continued strong performance in this economy,organisations that employ project personnel will need to consider how they will ensure the supply of high quality project professionals into the future.

Career-path analysis using optimal matching and self-organizing maps

This paper is devoted to the analysis of career paths and employability. The state-of-the-art on this topic is rather poor in methodologies. Some authors propose distances well adapted to the data, but are limiting their analysis to hierarchical clustering. Other authors apply sophisticated methods, but only after paying the price of transforming the categorical data into continuous, via a factorial analysis. The latter approach has an important drawback since it makes a linear assumption on the data. We propose a new methodology, inspired from biology and adapted to career paths, combining optimal matching and self-organizing maps. A complete study on real-life data will illustrate our proposal.

The PHP intelligent tutoring system

Teaching introductory programming has challenged educators through the years. Although Intelligent Tutoring Systems that teach programming have been developed to try to reduce the problem, none have been developed to teach web programming. This paper describes the design and evaluation of the PHP Intelligent Tutoring System (PHP ITS) which addresses this problem. The evaluation process showed that students who used the PHP ITS showed a significant improvement in test scores

Intelligent reliability analysis with incomplete covariates

The reliability analysis is crucial to reducing unexpected down time, severe failures and ever tightened maintenance budget of engineering assets. Hazard based reliability methods are of particular interest as hazard reflects the current health status of engineering assets and their imminent failure risks. Most existing hazard models were constructed using the statistical methods. However, these methods were established largely based on two assumptions: one is the assumption of baseline failure distributions being accurate to the population concerned and the other is the assumption of effects of covariates on hazards. These two assumptions may be difficult to achieve and therefore compromise the effectiveness of hazard models in the application. To address this issue, a non-linear hazard modelling approach is developed in this research using neural networks (NNs), resulting in neural network hazard models (NNHMs), to deal with limitations due to the two assumptions for statistical models. With the success of failure prevention effort, less failure history becomes available for reliability analysis. Involving condition data or covariates is a natural solution to this challenge. A critical issue for involving covariates in reliability analysis is that complete and consistent covariate data are often unavailable in reality due to inconsistent measuring frequencies of multiple covariates, sensor failure, and sparse intrusive measurements. This problem has not been studied adequately in current reliability applications. This research thus investigates such incomplete covariates problem in reliability analysis. Typical approaches to handling incomplete covariates have been studied to investigate their performance and effects on the reliability analysis results. Since these existing approaches could underestimate the variance in regressions and introduce extra uncertainties to reliability analysis, the developed NNHMs are extended to include handling incomplete covariates as an integral part. The extended versions of NNHMs have been validated using simulated bearing data and real data from a liquefied natural gas pump. The results demonstrate the new approach outperforms the typical incomplete covariates handling approaches. Another problem in reliability analysis is that future covariates of engineering assets are generally unavailable. In existing practices for multi-step reliability analysis, historical covariates were used to estimate the future covariates. Covariates of engineering assets, however, are often subject to substantial fluctuation due to the influence of both engineering degradation and changes in environmental settings. The commonly used covariate extrapolation methods thus would not be suitable because of the error accumulation and uncertainty propagation. To overcome this difficulty, instead of directly extrapolating covariate values, projection of covariate states is conducted in this research. The estimated covariate states and unknown covariate values in future running steps of assets constitute an incomplete covariate set which is then analysed by the extended NNHMs. A new assessment function is also proposed to evaluate risks of underestimated and overestimated reliability analysis results. A case study using field data from a paper and pulp mill has been conducted and it demonstrates that this new multi-step reliability analysis procedure is able to generate more accurate analysis results.

Career implications of multi-layered institutional settings

Project work has grown significantly in volume and recognition in recent decades as projects have ‘become a common form of work organization in all sectors of the economy’ (Lindgren & Packendorff, 2006: 841). This increase in project-based work is just one of the many changes that have been affecting the nature of work, the employment relationship and the associated conceptualization and experience of careers (Baruch, 2004b; Söderlund & Bredin, 2006). A career can be defined as a process of development along a path of work experience and roles in one or more organizations (Baruch & Rosenstein, 1992), and careers involving project-based work take place within multi layered institutional settings. Projects are generally undertaken by small temporary organizations (Ekstedt, Lundin, Söderholm & Wirdenius, 1999; Pettigrew, 2003; Söderlund, 2012) which in turn may form part of larger, permanent entities; involve people drawn from a number of disciplines and organizations; or be formed as partnerships, joint ventures or strategic alliances between two or more organizations (Scott, 2007).

Intelligent tutoring system for learning PHP

This thesis investigates the possibility of using an adaptive tutoring system for beginning programming students. The work involved, designing, developing and evaluating such a system and showing that it was effective in increasing the students’ test scores. In doing so, Artificial Intelligence techniques were used to analyse PHP programs written by students and to provide feedback based on any specific errors made by them. Methods were also included to provide students with the next best exercise to suit their particular level of knowledge.

Early career teacher attrition: A case study of independent Catholic girls' schools in Queensland

This research study sought to understand why so many early career teachers in an Australian Religious Institute education sector were leaving teaching. Previous studies on early career teacher attrition across all sectors were based on supply and demand theory, as well as contemporary career theory, and identified various factors such as remuneration, student behaviour and school resourcing as influencing factors. These Australian Religious Institute education sector schools take pride in their good standing. The schools in this sector have worked at addressing many of the factors associated with early career teacher attrition yet despite their efforts they are also experiencing attrition of their early career teachers. A case study of the Queensland independent Catholic girls' school sector explored firstly, the construct of being a teacher in these schools, and secondly, the sociocultural discourses giving rise to unique situations contributing to early career teachers making the decision to leave teaching. Eight early career teachers who had left the profession for which they had recently trained, and eight long standing teachers who were still employed in the sector were interviewed to yield a rich data set. The interviews were conducted within a theoretical framework of what it means to be a teacher by Graham and Phelps (2003) and pedagogic identity and pedagogic practice as noted by Bernstein (2000). The distributive rules and the evaluative rules (Bernstein, 2000) provided the analytical framework to confirm that particular discourses, together with the ways in which the early career teachers realised being a teacher, were important factors in the decision not to remain in teaching. It emerged that being a teacher in the Queensland independent Catholic girls' school sector was complex and demanding. Being a teacher required long hours of personal time to realise the demands of teaching, a situation which did not fare well with the early career teachers who struggled to balance the requirements of teaching with their own personal time. Furthermore, evidence was found that the schools had multifaceted sociocultural discourses that the early career teacher research participants struggled to understand. In contrast, long standing teachers had, through time, experience and observation, developed skills that allowed them to navigate these complex discourses and thus remain long term in the sector. Another finding revealed the considerable dichotomy in how the charism of the schools (the unique way Catholic institutions transmit the beliefs and teachings of the Catholic Church) unfolded for students and staff. While these schools transmit their charism effectively to the students, it is ineffectively transmitted to early career teachers. In contemporary times when a majority of teachers in Australia are moving into their 50s and large numbers are retiring or resigning, (Australian Government, 2011; Australian Government Department of Education, 2007b) it is important for the long term viability of the independent Catholic school sector to retain a stable staff. This study demonstrates that if Catholic schools want to retain their unique identity in the education community and sustain their unique charisms, then they must adopt positive practices to support early career teachers.

Distributed low-power image processing in wireless sensor networks for intelligent video surveillance applications

Distributed Wireless Smart Camera (DWSC) network is a special type of Wireless Sensor Network (WSN) that processes captured images in a distributed manner. While image processing on DWSCs sees a great potential for growth, with its applications possessing a vast practical application domain such as security surveillance and health care, it suffers from tremendous constraints. In addition to the limitations of conventional WSNs, image processing on DWSCs requires more computational power, bandwidth and energy that presents significant challenges for large scale deployments. This dissertation has developed a number of algorithms that are highly scalable, portable, energy efficient and performance efficient, with considerations of practical constraints imposed by the hardware and the nature of WSN. More specifically, these algorithms tackle the problems of multi-object tracking and localisation in distributed wireless smart camera net- works and optimal camera configuration determination. Addressing the first problem of multi-object tracking and localisation requires solving a large array of sub-problems. The sub-problems that are discussed in this dissertation are calibration of internal parameters, multi-camera calibration for localisation and object handover for tracking. These topics have been covered extensively in computer vision literatures, however new algorithms must be invented to accommodate the various constraints introduced and required by the DWSC platform. A technique has been developed for the automatic calibration of low-cost cameras which are assumed to be restricted in their freedom of movement to either pan or tilt movements. Camera internal parameters, including focal length, principal point, lens distortion parameter and the angle and axis of rotation, can be recovered from a minimum set of two images of the camera, provided that the axis of rotation between the two images goes through the camera's optical centre and is parallel to either the vertical (panning) or horizontal (tilting) axis of the image. For object localisation, a novel approach has been developed for the calibration of a network of non-overlapping DWSCs in terms of their ground plane homographies, which can then be used for localising objects. In the proposed approach, a robot travels through the camera network while updating its position in a global coordinate frame, which it broadcasts to the cameras. The cameras use this, along with the image plane location of the robot, to compute a mapping from their image planes to the global coordinate frame. This is combined with an occupancy map generated by the robot during the mapping process to localised objects moving within the network. In addition, to deal with the problem of object handover between DWSCs of non-overlapping fields of view, a highly-scalable, distributed protocol has been designed. Cameras that follow the proposed protocol transmit object descriptions to a selected set of neighbours that are determined using a predictive forwarding strategy. The received descriptions are then matched at the subsequent camera on the object's path using a probability maximisation process with locally generated descriptions. The second problem of camera placement emerges naturally when these pervasive devices are put into real use. The locations, orientations, lens types etc. of the cameras must be chosen in a way that the utility of the network is maximised (e.g. maximum coverage) while user requirements are met. To deal with this, a statistical formulation of the problem of determining optimal camera configurations has been introduced and a Trans-Dimensional Simulated Annealing (TDSA) algorithm has been proposed to effectively solve the problem.

Business value from intelligent fields

The Smart Fields programme has been active in Shell over the last decade and has given large benefits. In order to understand the value and to underpin strategies for the future implementation programme, a study was carried out to quantify the benefits to date. This focused on actually achieved value, through increased production or lower costs. This provided an estimate of the total value achieved to date. Future benefits such as increased reserves or continued production gain were recorded separately. The paper describes the process followed in the benefits quantification. It identifies the key solutions and technologies and describes the mechanism used to understand the relation between solutions and value. Examples have been given of value from various assets around the world, in both existing fields and in green fields. Finally, the study provided the methodology for tracking of value. This helps Shell to estimate and track the benefits of the Smart Fields programme at company scale.

Too many cooks? Co-creating and co-teaching studio courses in the creative media context : a career-focussed approach

This Case Study relates to the creation and implementation of career‐focussed courses in Creative Media for film, television, animation, broadcast and web contexts. The paper examines the advantages and disadvantages of co‐teaching, and how different professional and academic backgrounds and disciplines can productively inform curriculum design and delivery in the academic/professional context. The authors, as co‐creators and co‐lecturers, have developed a number of courses which represent current working models for intermediate to advanced level academic/professional study, and attract students from across the creative disciplines; including theatre, media, visual arts and music. These courses are structured to develop in students a wide range of aesthetic and technical skills, as well as their ability to apply those skills professionally within and across the creative media industries. Issues regarding the balance between academic rigour, practical hands‐on skill development, assessment, logistics, resources, teamwork and other issues, are examined in the paper.

Career Development in Childhood and Adolescence

"In the past few years, many career theorists have noted the dearth of literature in the area of career development in childhood and adolescence. A growing need for integrating theory and research on the early stages of vocational development within a systemic, life-span developmental approach has been articulated. This volume, the first book dedicated to career development of children and adolescents, provides a broad and comprehensive overview of the current knowledge about the key career processes that take place in this age group. Each of the eighteen chapters represents an in-depth examination of a specific aspect of career development with a focus on integrating modern career theory and ongoing research and further developing theory-practice connections in understanding child and adolescent career behaviour. Twenty-six authors, leading experts from eight countries, provide a state-of-the-art summary of the current thinking in the field and outline directions for future empirical work and practice."--publisher website

Sustainable creative career development pathways for young people in Tanzania : a case study

Tanzania has a rich and diverse cultural history based in community cultural life. However, at present, young people have limited opportunity to exploit this richness of traditional knowledge and engage in creative jobs as their means of future sustainable employment. Hence, the significant challenge remains: how to integrate and enhance the traditional knowledge in a learning strategy, while there is no “inter-ministerial action and institutional mechanisms” (United Nations 2008, 33-35) to promote creative employment for young people. This article reports on a case study that examined how the two Ministries of Culture and Education might work together to support Tanzania’s young people to secure, and engage successfully in creative jobs. The case study employed mixed methods, incorporating questionnaires, interviews and focus groups. The study was undertaken in Dar-Es-Salaam, Mwanza, Bagamoyo, Dodoma, Lindi and Morogoro from July to October, 2012. This paper discusses some of the issues and argues that there is no practical utilization of traditional knowledge and skills in “putting education to work” (UNESCO 2012, 170) for the better prospects of young people and to reveal the story of their lives. Although this study is specific to Tanzania, the case may also apply to other developing countries.

Practical Advice to Entrepreneurs Series by ACE Adjunct Professor Dean Shepherd: Practical advice for prisoners on developing an entrepreneurial career

The author, Dean Shepherd, is of entrepreneurship—how entrepreneurs think, decide to act, and feel. He recently realized that while his publications in academic journals have implications for entrepreneurs, those implications have remained relatively hidden in the text of the articles and hidden in articles published in journals largely inaccessible to those involved in the entrepreneurial process. This series is designed to bring the practical implications of his research to the forefront.