Why not the best schools? What we have learned from outstanding schools around the world

Why not the Best Schools? offers a ten-point, ten-year plan for an education revolution that will result in the transformation of Australia’s schools. Expectations have been raised in Australia and comparable countries for an ‘education revolution’ that will secure success for all students in all settings. Such a revolution must ensure the alignment of educational outcomes, the skills required for a strong economy, and the needs of a harmonious society. Why not the Best Schools? goes beyond system characteristics to provide an in-depth account of how transformation occurs in schools. Fifty indicators are provided to help shape strategies for policy makers and practitioners in schools and school systems. Guidelines for leadership and governance ensure a future-focus for those who are determined to ensure that all students will succeed in the twentieth-first century. This book draws on a five-year study culminating in the International Project to Frame the Transformation of Schools conducted in Australia, China, England, Finland, the United States and Wales. The findings are consistent with the McKinsey & Company report on the world’s best performing school systems and those arising from OECD’s PISA.

Why not the best schools? [The series]

"Expectations have been raised in Australia and comparable countries for an 'education revolution' that will secure success for all students in all settings. Such a revolution must ensure the alignment of educational outcomes, the skills required for a strong economy, and the needs of a harmonious society. Why not the Best Schools? offers a ten-point, ten-year plan for an education revolution that will result in the transformation of Australia's schools. Why not the Best Schools? goes beyond system characteristics to provide an in-depth account of how transformation occurs in schools. Fifty indicators are provided to help shape strategies for policy makers and practitioners in schools and school systems. Guidelines for leadership and governance ensure a future-focus for those who are determined to ensure that all students will succeed in the twentieth-first century. This book draws on a five-year study culminating in the International Project to Frame the Transformation of Schools conducted in Australia, China, England, Finland, the United States and Wales. The findings are consistent with the McKinsey & Company report on the world's best performing school systems and those arising from OECD's PISA."--publisher website

A nonlinear observer for estimating transverse stability parameters of marine surface vessels

This paper presents a nonlinear observer for estimating parameters associated with the restoring term of a roll motion model of a marine vessel in longitudinal waves. Changes in restoring, also referred to as transverse stability, can be the result of changes in the vessel's centre of gravity due to, for example, water on deck and also in changes in the buoyancy triggered by variations in the water-plane area produced by longitudinal waves -- propagating along the fore-aft direction along the hull. These variations in the restoring can change dramatically the dynamics of the roll motion leading to dangerous resonance. Therefore, it is of interest to estimate and detect such changes.

Robot control of a 3,500 tonne mining machine

The mining industry is highly suitable for the application of robotics and automation technology since the work is arduous, dangerous and often repetitive. This paper describes the development of an automation system for a physically large and complex field robotic system - a 3,500 tonne mining machine (a dragline). The major components of the system are discussed with a particular emphasis on the machine/operator interface. A very important aspect of this system is that it must work cooperatively with a human operator, seamlessly passing the control back and forth in order to achieve the main aim - increased productivity.

A magnetic climbing robot for marine inspection services

Currently, the inspection of sea-going vessels is performed manually. Ship surveyors do a visual inspection; in some cases they also use cameras and non-destructive testing methods. Prior to a ship surveying process a lot of scaffolding has to be provided in order to make every spot accessible for the surveyor. In this work a robotic system is presented, which is able to access many areas of a cargo hold of a ship and perform visual inspection without any scaffolding. The paper also describes how the position of the acquired data is estimated with an optical 3D tracking unit and how critical points on the hull can be marked via a remote controlled marker device. Furthermore first results of onboard tests with the system are provided.

Design intersection: The growth of community-led technology enabled companies

The sharing economy or collaborative consumption based firms have the potential to disrupt long-standing traditional industries. However, little is known on the topic, specifically the role of design in these successful community-led, technology enable firms. It is the proposition of this research that the intrinsic innovation of collaborative consumption firms is not merely a technological one. With successful firms being identified by being able to marry both technological advancement and human insight on product meaning. Therefore, the authors suggest the use of design as an effective way to capitalise and build on product meaning, not only technological advancements in order to foster the growth of a community. To explore this further, the research team decided to investigate two fast growing examples of industry disrupting, sharing economy businesses; Airbnb and Uber. Of the two cases, the use of design was found to be more evident within, Airbnb, due to wide profession of using design techniques. Each case study has been mapped on Guenther’s (2012) framework of techno-economic innovation to help illustrate this marriage of innovation agendas. This paper explored the role of design in community-led companies by presenting an argument for why they have succeeded due to an understanding of human need and key market trends, instead of only technological innovation alone. Findings and implication of these case studies suggest the future role of design as a method to achieve this success. Built on the core tenants of design thinking, these techniques rationalise technology, human needs and business viability to product innovative solutions. Upon these findings, the research team has created a new framework for understanding community-led technology enabled companies, one that builds upon the work of Guenther’s (2012) model of enterprise design innovation. This paper is the first step in a new research agenda.

From vision to actions: Towards adaptive and autonomous humanoid robots

Although robotics research has seen advances over the last decades robots are still not in widespread use outside industrial applications. Yet a range of proposed scenarios have robots working together, helping and coexisting with humans in daily life. In all these a clear need to deal with a more unstructured, changing environment arises. I herein present a system that aims to overcome the limitations of highly complex robotic systems, in terms of autonomy and adaptation. The main focus of research is to investigate the use of visual feedback for improving reaching and grasping capabilities of complex robots. To facilitate this a combined integration of computer vision and machine learning techniques is employed. From a robot vision point of view the combination of domain knowledge from both imaging processing and machine learning techniques, can expand the capabilities of robots. I present a novel framework called Cartesian Genetic Programming for Image Processing (CGP-IP). CGP-IP can be trained to detect objects in the incoming camera streams and successfully demonstrated on many different problem domains. The approach requires only a few training images (it was tested with 5 to 10 images per experiment) is fast, scalable and robust yet requires very small training sets. Additionally, it can generate human readable programs that can be further customized and tuned. While CGP-IP is a supervised-learning technique, I show an integration on the iCub, that allows for the autonomous learning of object detection and identification. Finally this dissertation includes two proof-of-concepts that integrate the motion and action sides. First, reactive reaching and grasping is shown. It allows the robot to avoid obstacles detected in the visual stream, while reaching for the intended target object. Furthermore the integration enables us to use the robot in non-static environments, i.e. the reaching is adapted on-the- fly from the visual feedback received, e.g. when an obstacle is moved into the trajectory. The second integration highlights the capabilities of these frameworks, by improving the visual detection by performing object manipulation actions.

Should I stay or should I go?: Rural and remote students in first year university stem courses

Research on the achievement of rural and remote students in science and mathematics is located within a context of falling levels of participation in physical science and mathematics courses in Australian schools, and underrepresentation of rural students in higher education. International studies such as the Programme of International Student Assessment (PISA), have reported lower levels of mathematical and scientific literacy in Australian students from rural and remote schools (Thomson et al, 2011). The SiMERR national survey of science, mathematics and ICT education in rural and regional Australia (Lyons et al, 2006) identified factors affecting student achievement in rural and remote schools. Many of the issues faced by rural and remote students in their schools are likely to have implications on their university enrolments in science, technology, engineering and mathematics (STEM) courses. For example, rural and remote students are less likely to attend university in general than their city counterparts and higher university attrition rates have been reported for remote students nationally. This paper examines the responses of a sample of rural/remote Australian first year STEM students at Australian universities to two questions. These related to their intentions to complete the course; and whether -and if so, why- they had ever considered withdrawing from their course. Results indicated that rural students who were still in their course by the end of first year were no more or less likely to consider withdrawing than were their peers from more populous centres. However, almost 20% of the rural cohort had considered withdrawing at some stage in their course, and their explanations provide insights into the reasoning of those who may not persist with their courses at university. These results, in the context of the greater attrition rate of remote students from university, point to the need to identify factors that positively impact on rural and remote students’ interest and achievement in science and mathematics. It also highlights a need for future research into the particular issues remote students may face in deciding whether or not to do science at the two key transition points of senior school and university/TAFE studies, and whether or not to persist in their tertiary studies. This paper is positioned at the intersection of two problems in Australian education. The first is a context of falling levels of participation in physical science and mathematics courses in Australian universities. The second is persistent inequitable access to, and retention in, tertiary education for students from rural and remote areas. Despite considerable research attention to both of these areas over recent years these problems have thus far proved to be intractable. This paper therefore aims to briefly review the relevant Australian literature pertaining to these issues; that is, declining STEM enrolments, and the underrepresentation and retention of rural/remote students in higher education. Given the related problems in these two overlapping domains, we then explore the views of first year rural students enrolled in courses, in relation to their intentions of withdrawing (or not) and the associated reasons for their views.

Efficient content-based image retrieval based on multi-feature fusion

The increased availability of image capturing devices has enabled collections of digital images to rapidly expand in both size and diversity. This has created a constantly growing need for efficient and effective image browsing, searching, and retrieval tools. Pseudo-relevance feedback (PRF) has proven to be an effective mechanism for improving retrieval accuracy. An original, simple yet effective rank-based PRF mechanism (RB-PRF) that takes into account the initial rank order of each image to improve retrieval accuracy is proposed. This RB-PRF mechanism innovates by making use of binary image signatures to improve retrieval precision by promoting images similar to highly ranked images and demoting images similar to lower ranked images. Empirical evaluations based on standard benchmarks, namely Wang, Oliva & Torralba, and Corel datasets demonstrate the effectiveness of the proposed RB-PRF mechanism in image retrieval.