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This paper explores international students' engagement with educational technology for self-regulated English learning at an Australian university. Despite the increased use of automated feedback systems (AFSs) for language assessment, students' critical engagement with them for independent learning remains under-researched. The study primarily employed a qualitative approach to understand the students' preferred AFS tools and critical engagement throughout their personalised learning journeys but it also included a small-scale quantitative component. Data were gathered from seven students' e-portfolios, focus group interviews as well as a survey among 32 participants. Results highlight positive perceptions and successful use of AFSs, with students leveraging these tools to identify improvement areas, track progress and gain confidence. The study emphasises the importance of course structure, teacher guidance and a combination of human and automated feedback, in fostering learner autonomy and emotional self-regulation. The paper underscores the potential for sustained use of AFSs beyond the cours, and the significance of guiding learners to critically use these tools for ongoing learning and growth rather than dependence. These findings have significant implications, as readily available artificial intelligence tools such as ChatGPT hold great pedagogical potential for self-regulated learning within and beyond the language learning field.

In the recent Australian 2021 census, the socio-technical construct of algorithmically driven decision-making processes made LGBTQI+ data as a category of diversity, inclusion and belonging an absent presence. In this paper, we position the notion of 'data justice' in relation to the entrenchment of inequalities and exclusion of LGBTQI+ lives and consider the implications of LGBTQI+ data being missing in action. As we look at the notion of 'data justice', we consider five critical socio-technical imaginaries with different kinds of data to think through the implications of technical democracy, data justice and post-automation. Finally, we consider the imaginary of citizenship when LGBTQI+ data is habitually missing in action from systematic power integrated into forms of governance. This paper positions 'data' not as a static 'object or process' but as a dynamic ecology that carries with it a multi-faceted set of coded meanings requiring constant review and reconsideration.

Artificial Intelligence has the potential to be an important part of education governance. It is already being built into everything from business intelligence platforms to real-time online testing. In this paper, we aim to understand how AI becomes, and forms, a legitimate part of authority in contemporary education governance in what we call the automated education governance assemblage, that incorporates technology companies and AI-supported products used in education. We focus on EduTech Australia -- an education technology trade show in Sydney -- as a way to look at: (1) how the different aspects of automated governance are connected at EduTech, including the relations between different participants, companies and products; and (2) how the automated governance assemblage works to legitimise and constitute EduTech as a policy space and site of new authorities in education governance.

Australia has been widely condemned for its harsh and comprehensive external border controls that seek to control the inward mobility of would-be asylum seekers through visa denial, interdiction and offshore detention. Less widely discussed is the fact that internal controls have been repeatedly ramped up over the past two decades. This includes the administrative removal of lawfully-present non-citizens following visa cancellation on character grounds under s501 of the Migration Act 1958 (Cth). Automatic visa cancellation was introduced in 2014 for non-citizens sentenced to a prison term of 12  months or more, or for certain offences, bypassing individualised decision-making and raising the spectre of a visa cancellation pipeline feeding a highly automated deportation machinery. In an age of increasingly automated forms of governance, a key question that arises is the role that has been played by automated systems in achieving what has been a seismic shift in practice, and the normative implications of any developments towards automation within the visa cancellation and removal systems. This paper outlines the shift towards automation in other systems of governance in Australia—most notably the notorious Robodebt scheme—before examining automation in Australia’s visa cancellation system. Documentary analysis of recent parliamentary inquiries, independent reports and government policy is used to piece together the development of inter-agency data exchange practices and automation over three specific periods—historical practice pre-2014, post-2014 to the present, and proposed future developments. We conclude that Australia’s s501 visa cancellation system is neither automated nor automatic. Rather, the 2014 law reform gave rise to a ‘surveillance fantasy’ with immense consequences for non-citizens, particularly those who face long days in immigration detention at the conclusion of their prison sentence. We show that while concerns about increasing automation are well-founded, systems based on less sophisticated forms of information handling and reliant on human decision-making nevertheless continue to raise age-old questions concerning efficiency, accuracy and fairness. [ABSTRACT FROM AUTHOR]

Artificial Intelligence (AI) carries the potential for unprecedented disruption in radiology, with possible positive and negative consequences. The integration of AI in radiology holds the potential to revolutionize healthcare practices by advancing diagnosis, quantification, and management of multiple medical conditions. Nevertheless, the ever‑growing availability of AI tools in radiology highlights an increasing need to critically evaluate claims for its utility and to differentiate safe product offerings from potentially harmful, or fundamentally unhelpful ones. This multi‑society paper, presenting the views of Radiology Societies in the USA, Canada, Europe, Australia, and New Zealand, defines the potential practical problems and ethical issues surrounding the incorporation of AI into radiological practice. In addition to delineating the main points of concern that developers, regulators, and purchasers of AI tools should consider prior to their introduction into clinical practice, this statement also suggests methods to monitor their stability and safety in clinical use, and their suitability for possible autonomous function. This statement is intended to serve as a useful summary of the practical issues which should be considered by all parties involved in the development of radiology AI resources, and their implementation as clinical tools. [ABSTRACT FROM AUTHOR]

The privacy policy has a vaunted position in the operation of information privacy law. In Australia, there is a renewed focus about the appropriate role of privacy policies and whether current legal obligations under the Privacy Act 1988 (Cth) need strengthening. However, there is a lack of research about the current state of compliance in publicly available privacy policies in Australia. Previous attempts to identify states of compliance are limited and typically involve 'privacy sweeps'. These are qualitative exercises conducted by relevant regulators and are difficult to undertake at scale. In this paper, we examine a novel automation method for ascertaining privacy policy compliance levels at scale. We combined web scraping technologies to extract data from publicly available Australian government privacy policies with natural language processing algorithms to examine potential compliance levels across three vectors: privacy complaint processes; definitions of personal information; and collection purposes. Our findings indicate that the Commonwealth privacy policies examined are constructed in different ways and have different levels of compliance with Australian Privacy Principle 1. We conclude our paper by outlining the complex spectrums of supervision, standardisation, and intervention that arise from the use of automation tools to ascertain privacy policy compliance levels at scale. [ABSTRACT FROM AUTHOR]

Road transport is experiencing disruptive change from new first-of-a-kind technologies. While such technologies offer safety and operational benefits, they also pose new risks. It is critical to proactively identify risks during the design, development and testing of new technologies. The Systems Theoretic Accident Model and Processes (STAMP) method analyses the dynamic structure in place to manage safety risks. This study applied STAMP to develop a control structure model for emerging technologies in the Australian road transport system and identified control gaps. The control structure shows the actors responsible for managing risks associated with first-of-a-kind technologies and the existing control and feedback mechanisms. Gaps identified related to controls (e.g. legislation) and feedback mechanisms (e.g. monitoring for behavioural adaptation). The study provides an example of how STAMP can be used to identify control structure gaps requiring attention to support the safe introduction of new technologies. This paper considers emerging risks associated with new technologies in the road transport system. It demonstrates a novel approach using STAMP to identify gaps in control and feedback mechanisms within the existing control structure which should be addressed to mitigate risk. [ABSTRACT FROM AUTHOR]

Automating workplaces that results in a loss of jobs has become a topic of public debate and study but has paid little attention to differential impacts on age groups. This paper applies OECD data on the risk of jobs being automated to Australian longitudinal survey data following 15 years old students over a ten-year period as they enter the job market. Whilst in the early stages of their working lives, these young Australians often worked in jobs projected to be at high risk of automation, they gradually moved into jobs and occupations projected to be less exposed to automation. Young Australians were also less likely to work in jobs at risk of automation than the average Australian. Besides socio-demographic factors, including educational attainment but also domestic wealth, the incidence and kind of computer use at home were associated with working in jobs at a higher or lower risk of automation, as were young workers' type of employment contract and whether young employees changed employers. Whilst suggestions of large-scale job losses owing to automation may be exaggerated, the socio-economic divide that extends to exposure to at risk occupations ought to be a matter of policy concern. [ABSTRACT FROM AUTHOR]

The estimation of water quality properties through satellite remote sensing relies on (1) the optical characteristics of the water body, (2) the resolutions (spatial, spectral, radiometric and temporal) of the sensor and (3) algorithm(s) applied. More than 80% of global water bodies fall under Case I (open ocean) waters, dominated by scattering and absorption associated with phytoplankton in the water column. Globally, previous studies show significant correlations between satellite-based retrieval methods and field measurements of absorbing and scattering constituents, while limited research from Australian coastal water bodies appears. This study presents a methodology to extract chlorophyll a properties from surface waters from near-coastal environments, within 2 km of coastline, in Tasmania, south-eastern Australia. We use general purpose, global, long-time series, multi-spectral satellite data, as opposed to ocean colour-specific sensor data. This approach may offer globally applicable tools for combining global satellite image archives with in situ field sensors for water quality monitoring. To enable applications from local to global scales, a cloud-based geospatial analysis workflow was developed and tested on several sites. This work represents the initial stage in developing a semi-automated near-coastal water-quality workflow using easily accessed, fully corrected global multi-spectral datasets alongside large-scale computation and delivery capabilities. Our results indicated a strong correlation between the in situ chlorophyll concentration data and blue-green band ratios from the multi-spectral sensor. In line with published research, environment-specific empirical models exhibited the highest correlations between in situ and satellite measurements, underscoring the importance of tailoring models to specific coastal waters. Our findings may provide the basis for developing this workflow for other sites in Australia. We acknowledge the use of general purpose multi-spectral data such as the Sentinel-2 and Landsat Series, their corrections and algorithms may not be as accurate and precise as ocean colour satellites. The data we are using are more readily accessible and also have true global coverage with global historic archives and regular, global collection will continue at least 10 years in the future. Regardless of sensor specifications, the retrieval method relies on localised algorithm calibration and validation using in situ measurements, which demonstrates close-to-realistic outputs. We hope this approach enables future applications to also consider these globally accessible and regularly updated datasets that are suited to coastal environments. [ABSTRACT FROM AUTHOR]

Automation and artificial intelligence (AI) is already possible for many radiation therapy planning and treatment processes with the aim of improving workflows and increasing efficiency in radiation oncology departments. Currently, AI technology is advancing at an exponential rate, as are its applications in radiation oncology. This commentary highlights the way AI has begun to impact radiation therapy treatment planning and looks ahead to potential future developments in this space. Historically, radiation therapist's (RT's) role has evolved alongside the adoption of new technology. In Australia, RTs have key clinical roles in both planning and treatment delivery and have been integral in the implementation of automated solutions for both areas. They will need to continue to be informed, to adapt and to transform with AI technologies implemented into clinical practice in radiation oncology departments. RTs will play an important role in how AI‐based automation is implemented into practice in Australia, ensuring its application can truly enable personalised and higher‐quality treatment for patients. To inform and optimise utilisation of AI, research should not only focus on clinical outcomes but also AI's impact on professional roles, responsibilities and service delivery. Increased efficiencies in the radiation therapy workflow and workforce need to maintain safe improvements in practice and should not come at the cost of creativity, innovation, oversight and safety. [ABSTRACT FROM AUTHOR]

Will automation raise unemployment and what is the role of education in this context? To answer these questions, we propose a search and matching model of the labour market with two skill types and with industrial robots. In line with evidence to date, robots are better substitutes for low-skilled workers than for high-skilled workers. We show that robot adoption leads to rising unemployment and falling wages of low-skilled workers and falling unemployment and rising wages of high-skilled workers. In a calibration to Austrian and German data, we find that robot adoption destroys fewer low-skilled jobs than the number of high-skilled jobs it creates. For Australia and the USA, the reverse holds true. Allowing for endogenous skill acquisition of workers implies positive employment effects of automation in all four countries. Thus, the firm creation mechanism in the search and matching model and skill acquisition are alleviating the adverse effects of automation. [ABSTRACT FROM AUTHOR]

In this article, we explore Quick Response (QR) codes (machine-readable optical labels that link to information) and how, after a period of having fallen out of favor, they have been reactivated and have come to underpin COVID-19 automation and contact-tracing efforts. During the pandemic, they were used especially for "safe entry" and other kinds of check-in to locations to facilitate contact tracing. In this context, QR codes facilitate automated decision-making in relation to infectious disease surveillance and disease outbreak control. However, the use of QR codes for contact-tracing purposes has enjoyed mixed success and its implementation has encountered several challenges, as we illustrate through a case study that explores QR codes and COVID contact tracing in Singapore and Australia. [ABSTRACT FROM AUTHOR]

This article critically analyses the policy discourse that accompanied the introduction of the 'New Employment Services Model' (NESM) into the Australian social security system. Critical policy discourse analysis of documents presenting reforms to employment services provision shows that the NESM embeds a logic of activation that construes job seekers both as passive units requiring external motivation (through 'employment support' and 'mutual obligation'), and as active agents responsible for their own situation. This contradictory logic results in inconsistencies between the espoused aims of the reforms and the experience of those subject to the policy mechanisms. Analysis of departmental outcomes data illustrates the inconsistent operational consequences of the conflation of 'targeted compliance' and 'support.' Due to the technological automation of activation processes, the real discursive innovation of the NESM is one of 'digital depoliticization,' whereby the moralizing assumptions that inform punitive activation are embedded and therefore concealed in the policy technology. The operational effect is to subordinate the achievement of employment to compliance with mutual obligation requirements as a structured aim of employment services provision. [ABSTRACT FROM AUTHOR]

The increasing awareness of the undesirable environmental impact of cement-based products has led to rethinking earth construction within the digitally mechanised framework of Industry 4.0. The attempts to mechanise earth construction started nearly a decade ago, yet, the past four years have seen a surge in the intensity of research on the advanced manufacturing of earth construction. Additive manufacturing of clay-rich soil, like in cob and adobe methods, has been attracting the primary attention, while on the contrary, considerably limited research has been conducted to mechanise other methods such as rammed earth. This paper collected, reviewed, and analysed the state-of-the-art research on the advanced manufacturing of rammed earth construction, with a focus on process design aspects and machine development. Two case studies of recent digitally manufactured rammed earth projects in Australia and Switzerland were comprehensively analysed to provide a realistic feasibility assessment of the potential and technical challenges. The insights from this research provide a holistic and tangible roadmap to the digital manufacturing of rammed earth construction, which aids in making it more desirable and capable of meeting contemporary demands of the architecture and construction of Industry 4.0. • State-of-the-art advanced manufacturing methods for rammed earth construction are critically reviewed. • Two case studies of digitally manufactured rammed earth projects in Australia and Switzerland are comprehensively analysed. • Potential and challenges of advanced manufacturing for rammed earth construction are discussed. • Information for enhanced utilisation of digital techniques in rammed earth construction is provided. [ABSTRACT FROM AUTHOR]

Digital transformation has become a pressing concern for the Australian government in the wake of COVID-19. While a thriving construction industry is key to Australia's economic recovery, the promised land of Industry 4.0 continues to elude the sector. Unlike the mining industry, which has obtained government funding to future-proof its workforce, the building industry remains at risk of being left behind because it has failed to prosecute the case for its own planned Fourth Industrial Revolution. A consistent approach to both sectors is needed to mitigate against asymmetries in the workforce and assist those transitioning from sectors devastated by COVID-19 by providing them with the high-tech skills which fortify the link between wages and employment. SMEs given their limited resources are also vulnerable, and the sector has been rocked by waves of insolvencies in recent times. Achieving Industry 4.0 success has long been a goal among industry academics yet hardly any attention is paid to the institution or its failures. This study subjected 59 authoritative articles to bibliometric analysis and systematic literature review and identified a dearth of research on how best to regulate Industry 4.0 and deliver the standards on which construction and mining businesses will depend when making the choice to commit to Industry 4.0. Nevertheless, there are valuable lessons to be learnt when it comes to supporting SMEs and workers embarking the risky business of Digital Transformation. [ABSTRACT FROM AUTHOR]

The exercise of administrative discretion by street-level workers plays a key role in shaping citizens' access to welfare and employment services. Governance reforms of social services delivery, such as performance-based contracting, have often been driven by attempts to discipline this discretion. In several countries, these forms of market governance are now being eclipsed by new modes of digital governance that seek to reshape the delivery of services using algorithms and machine learning. Australia, a pioneer of marketisation, is one example, proposing to deploy digitalisation to fully automate most of its employment services rather than as a supplement to face-to-face case management. We examine the potential and limits of this project to replace human-to-human with 'machine bureaucracies'. To what extent are welfare and employment services amenable to digitalisation? What trade-offs are involved? In addressing these questions, we consider the purported benefits of machine bureaucracies in achieving higher levels of efficiency, accountability, and consistency in policy delivery. While recognising the potential benefits of machine bureaucracies for both governments and jobseekers, we argue that trade-offs will be faced between enhancing the efficiency and consistency of services and ensuring that services remain accessible and responsive to highly personalised circumstances. [ABSTRACT FROM AUTHOR]