Big data

Making Sense of Mass Education provides an engaging and accessible analysis of traditional issues associated with mass education. The book challenges preconceptions about social class, gender and ethnicity discrimination; highlights the interplay between technology, media, popular culture and schooling; and inspects the relevance of ethics and philosophy in the modern classroom. This new edition has been comprehensively updated to provide current information regarding literature, statistics and legal policies, and significantly expands on the previous edition's structure of derailing traditional myths about education as a point of discussion. It also features two new chapters on Big Data and Globalisation and what they mean for the Australian classroom. Written for students, practising teachers and academics alike, Making Sense of Mass Education summarises the current educational landscape in Australia and looks at fundamental issues in society as they relate to education.

Harnessing information from injury narrative in the 'big data' era: Understanding and applying machine learning for injury surveillance

Objective Vast amounts of injury narratives are collected daily and are available electronically in real time and have great potential for use in injury surveillance and evaluation. Machine learning algorithms have been developed to assist in identifying cases and classifying mechanisms leading to injury in a much timelier manner than is possible when relying on manual coding of narratives. The aim of this paper is to describe the background, growth, value, challenges and future directions of machine learning as applied to injury surveillance. Methods This paper reviews key aspects of machine learning using injury narratives, providing a case study to demonstrate an application to an established human-machine learning approach. Results The range of applications and utility of narrative text has increased greatly with advancements in computing techniques over time. Practical and feasible methods exist for semi-automatic classification of injury narratives which are accurate, efficient and meaningful. The human-machine learning approach described in the case study achieved high sensitivity and positive predictive value and reduced the need for human coding to less than one-third of cases in one large occupational injury database. Conclusion The last 20 years have seen a dramatic change in the potential for technological advancements in injury surveillance. Machine learning of ‘big injury narrative data’ opens up many possibilities for expanded sources of data which can provide more comprehensive, ongoing and timely surveillance to inform future injury prevention policy and practice.

Comparison of decision tree, support vector machines, and Bayesian network approaches for classification of falls in Parkinson’s disease

Being able to accurately predict the risk of falling is crucial in patients with Parkinson’s dis- ease (PD). This is due to the unfavorable effect of falls, which can lower the quality of life as well as directly impact on survival. Three methods considered for predicting falls are decision trees (DT), Bayesian networks (BN), and support vector machines (SVM). Data on a 1-year prospective study conducted at IHBI, Australia, for 51 people with PD are used. Data processing are conducted using rpart and e1071 packages in R for DT and SVM, con- secutively; and Bayes Server 5.5 for the BN. The results show that BN and SVM produce consistently higher accuracy over the 12 months evaluation time points (average sensitivity and specificity > 92%) than DT (average sensitivity 88%, average specificity 72%). DT is prone to imbalanced data so needs to adjust for the misclassification cost. However, DT provides a straightforward, interpretable result and thus is appealing for helping to identify important items related to falls and to generate fallers’ profiles.

Neighbourliness and Australia’s contribution to regional migration strategies for climate displacement in the Pacific

The prospect of widespread displacement in the Pacific as a result of climate change is becoming increasingly likely and it is possible that many will eventually need to relocate to other countries. Regional migration strategies not only offer the potential to minimise the harms of relocation, while acknowledging existing relationships of friendship and regional cooperation. This article examines the use of the language of ‘neighbourliness’ in Australia’s regional climate change strategies and argues that, while it expresses friendship, such language can also be employed to avoid the creation of stronger obligations. The article considers the international doctrine of good neighbourliness and concludes that, while international legal obligations may not yet exist, Australia should nonetheless begin planning for regional migration within the Pacific to allow people to migrate with dignity.

Integrated Information and Communication Technology Strategies for Competitive Higher Education in Asia and the Pacific

Developing countries in Asia and the Pacific are rapidly reaching middle income economic status. Their competitive advantage is shifting from labor-intensive industries and natural resource-based economies to knowledge-based economies that innovate and create new products and services. Early adoption of information and communication technology (ICT) can allow countries to leapfrog over the traditional development pathway into production of knowledge-based products and services. Since higher education institutions (HEIs) are considered a primary engine of economic growth, adoption of ICT is imperative for securing competitive advantage. ICT is thought to be one of the fastest growing industries and is frequently heralded as a transforming influence on higher education systems globally and, consequently, is enhancing the competitive advantage of countries. It is increasingly becoming evident that an institution-wide ICT strategy covering all evolving functions of competitive HEIs is necessary. Such a system may be designed as an integrated platform but implemented in phases.

Innovations in Knowledge and Learning for Competitive Higher Education in Asia and the Pacific

Competitive advantage in a knowledge economy is dependent on the ability to innovate and create new knowledge products and services, and to find innovative applications for them. Higher education institutions in Asia and the Pacific, modelled on industrial age thinking that demands excellence in routinized capacities, lack the ability to innovate and create new knowledge enterprises. The transition to a knowledge economy is affecting the purpose, content, pedagogy, and methodologies of higher education. Nontraditional stakeholders such as professional bodies, industry experts, think tanks, research institutes, and field experts/practitioners are now involved not only in planning but in providing higher education services. The traditional model of “knowledge versus skills” is no longer relevant. Higher education programs must consider lived experiences, contextual knowledge, and indigenous knowledge.

Comparative study on green building supportive policies of pacific-rim countries most vulnerable to climate change

- Problem Climate change is affecting the world in numerous ways such as increased temperatures, sea level rise, and increased droughts and floods. Governments worldwide, especially in the most vulnerable countries, are urged to seek better solutions for sustainable development. The construction industry and buildings have enormous impacts on humans and the environment, meaning green building must be one of the solutions. Government involvement is widely considered as one of the essential and most effective ways to promote green building and drive the construction market towards sustainability. This paper will review green building policy of the Pacific-Rim countries that are most vulnerable to climate change according to the recent Standard and Poor’s ranking, including: Cambodia, Vietnam, Fiji, Philippines, Papua New Guinea and Indonesia. Methodology: This paper will review policy related publications including journal and conference papers, portal websites of governments, legislation documents and reports of international organisations. It will focus on the policies and governmental instruments that support the adoption of green building practices. - Findings All six governments have launched climate change adaptation policies, showing a great concern regarding the damages caused by the phenomenon. All countries except Papua New Guinea have promulgated energy efficiency policy and programs which indirectly promote the adoption of green building practices. The comparison study shows that Philippines and Indonesia motivate the adoption of renewable energy generation, energy efficiency and green building through either financial or advocacy instruments, while other four countries tend to implement regulatory tools to mandate energy conservation. Through comparison, Cambodia and Vietnam – the two countries providing vision to develop green building - can learn from Philippines and Indonesia’s policy and instruments. - Research limitations Language differences between the countries and limit of formal sources may pose difficulties in searching for information. While much English language literature exists, sources from Cambodia, Philippines and Indonesia are less accessible. - Takeaway for practice As the paper provides more understanding about the supportive policy of those countries, it will introduce more opportunities for green property developers to invest in construction markets of those Pacific-Rim countries. - Originality There is little research reviewing green building supportive policies of developing and less-wealthy countries that are forecasted to be most vulnerable and most impacted by climate change. The originality of this paper lies in its investigation on how those countries intend to respond to this phenomenon and whether and to what extent they support the green building market by using policy tools.

Now the real international fight begins for the Trans-Pacific Partnership

In Atlanta, the trade ministers of a dozen countries across the Pacific Rim announced that they had successfully reached a concluded agreement upon the Trans-Pacific Partnership. The debate over the TPP will now play out in legislatures across the Pacific Rim, where sentiment towards the deal is much more mixed. The ministers insisted: “After more than five years of intensive negotiations, we have come to an agreement that will support jobs, drive sustainable growth, foster inclusive development, and promote innovation across the Asia-Pacific region … The agreement achieves the goal we set forth of an ambitious, comprehensive, high standard and balanced agreement that will benefit our nation’s citizens … We expect this historic agreement to promote economic growth, support higher-paying jobs; enhance innovation, productivity and competitiveness; raise living standards; reduce poverty in our countries; and to promote transparency, good governance, and strong labor and environmental protections.” But there has been fierce criticism of the Trans-Pacific Partnership, because of both its secrecy and its substance. Nobel Laureate Professor Joseph Stiglitz has warned that the agreement is not about free trade, but about the protection of corporate monopolies. The intellectual property chapter provides for longer and stronger protection of intellectual property rights. The investment chapter provides foreign investors with the power to challenge governments under an investor-state dispute settlement (ISDS) regime. The environment chapter is weak and toothless, and seems to be little more than an exercise in greenwashing. The health annex — and many other parts of the agreement — strengthen the power of pharmaceutical companies and biotechnology developers. The text on state-owned enterprises raises concerns about public ownership of postal services, broadcasters and national broadband services.

The Trans-Pacific partnership protects old companies at the expense of the new

Under this trade agreement, intellectual property will be transformed into a means of protecting the investments of multinational companies in culture, advertising, and medicine, writes Matthew Rimmer. The Trans-Pacific Partnership (TPP) is a blockbuster trade deal, which will transform the intellectual property of the Pacific Rim. The Australian Prime Minister Malcolm Turnbull has argued the trade agreement is a "gigantic foundation stone" for the country's future prosperity. Nonetheless, though the final text remains unreleased, it's clear from what we do know that the Intellectual Property Chapter is set to protect legacy intellectual property industries - rather than support disruptive technologies and dynamic innovation.

The Trans-Pacific Partnership, Copyright Law and Education

There is much concern across the Pacific rim about the impact of the Trans-Pacific Partnership (TPP) upon public education. The secretive trade agreement involves a dozen nations across the Pacific, including Australia, New Zealand, Canada and the United States, and Indonesia may soon join. Although the text was finalised at the Atlanta talks in October 2015, the Agreement has not yet been made public. (The NTEU has joined with other unions and civil society organisations in calling for the agreement to be revealed to facilitate public debate before any decisions are made by Parliament.) So whilst we cannot examine all the text that may impact on public educations, WikiLeaks has published the final version of the Intellectual Property Chapter of the TPP. The Intellectual Property Chapter of the TPP alone, with its copyright term extension, limits on copyright exceptions, and enforcement measures, will have a significant impact for educators and public education.

The Trans-Pacific Partnership Poses a Grave Threat to Sustainable Development

This month’s long-awaited release of the Trans-Pacific Partnership (TPP) text was the result of years of negotiations on trade ties between nations around the Pacific Rim. Some six weeks earlier, another set of deliberations came to an end as the United Nations unveiled its 17 Sustainable Development Goals (SDGs), which aim to eradicate poverty and reduce inequality by addressing critical issues such as food security, health care, access to education, clean and affordable water, clean energy, and climate action. Unfortunately, the two documents are incompatible. Several chapters of the TPP impinge upon the SDGs, potentially undermining the UN’s efforts to promote sustainable development and equality throughout the Pacific region. Moreover, many developing countries, least-developed countries, and small island states in the Pacific region are excluded from the preferential trade deal.

Activity recognition using binary tree SVM

This paper presents an effective classification method based on Support Vector Machines (SVM) in the context of activity recognition. Local features that capture both spatial and temporal information in activity videos have made significant progress recently. Efficient and effective features, feature representation and classification plays a crucial role in activity recognition. For classification, SVMs are popularly used because of their simplicity and efficiency; however the common multi-class SVM approaches applied suffer from limitations including having easily confused classes and been computationally inefficient. We propose using a binary tree SVM to address the shortcomings of multi-class SVMs in activity recognition. We proposed constructing a binary tree using Gaussian Mixture Models (GMM), where activities are repeatedly allocated to subnodes until every new created node contains only one activity. Then, for each internal node a separate SVM is learned to classify activities, which significantly reduces the training time and increases the speed of testing compared to popular the `one-against-the-rest' multi-class SVM classifier. Experiments carried out on the challenging and complex Hollywood dataset demonstrates comparable performance over the baseline bag-of-features method.

Shifting centres: Pedagogical relations in the Era of Big Data

This paper presents a cautious argument for re-thinking both the nature and the centrality of the one-to-one teacher/student relationship in contemporary pedagogy. A case is made that learning in and for our times requires us to broaden our understanding of pedagogical relations beyond the singularity of the teacher/student binary and to promote the connected teacher as better placed to lead learning for these times. The argument proceeds in three parts: first, a characterization of our times as defined increasingly by the digital knowledge explosion of Big Data; second, a re-thinking of the nature of pedagogical relationships in the context of Big Data; and third, an account of the ways in which leaders can support their teachers to become more effective in leading learning by being more closely connected to their professional colleagues.

Using Big Data to manage safety-related risk in the upstream oil and gas industry: A research agenda

Despite considerable effort and a broad range of new approaches to safety management over the years, the upstream oil & gas industry has been frustrated by the sector’s stubbornly high rate of injuries and fatalities. This short communication points out, however, that the industry may be in a position to make considerable progress by applying “Big Data” analytical tools to the large volumes of safety-related data that have been collected by these organizations. Toward making this case, we examine existing safety-related information management practices in the upstream oil & gas industry, and specifically note that data in this sector often tends to be highly customized, difficult to analyze using conventional quantitative tools, and frequently ignored. We then contend that the application of new Big Data kinds of analytical techniques could potentially reveal patterns and trends that have been hidden or unknown thus far, and argue that these tools could help the upstream oil & gas sector to improve its injury and fatality statistics. Finally, we offer a research agenda toward accelerating the rate at which Big Data and new analytical capabilities could play a material role in helping the industry to improve its health and safety performance.