Australian Commercial Law

Australian Commercial Law offers a concise yet comprehensive introduction to commercial law in Australia. The textbook provides a thorough and detailed discussion of a variety of topics in commercial law such as agency, bailment, the sale of goods, the transfer of property and the Personal Property Securities Act. The book also offers a detailed overview of topics within the Australian Consumer Law that are now relevant to commercial practice such as unconscionable conduct, consumer guarantees, and misleading and deceptive conduct. Written in a clear and accessible style, each chapter features key points and further reading to enhance students' understanding. Significant cases are discussed in detail and include excerpts from judgments to illustrate points of law. Australian Commercial Law is an indispensable resource for students who are seeking a comprehensive understanding of commercial law.

Engaging nursing students in a bioscience unit using a web-based response system, GoSoapBox

Nursing students used GoSoapBox, a web-based student response system to poll responses to multiple choice questions (MCQs) presented during bioscience lectures. Participation in GoSoapBox appears to have facilitated student engagement, interaction and learning. The majority of students surveyed appreciated the immediate feedback to the student responses and being able to participate anonymously. The use of this tool facilitated collaborative group and class discussion and clarification around any misconceptions or challenging concepts. Information collected using GoSoapBox provided the academic with feedback allowing for reflection, adjustment and improvement in framing of formative and summative MCQs.

The peer leader capacity building model: A student learning journey

The benefits of peer leader experiences in building graduate skills and capabilities, is well documented and recognised in the higher education sector (Ender & Kay, 2001; Lindsey, Weiler, Zarich, Haddock, Krafchick, & Zimmerman, 2014; Shook & Keup, J., 2012). While benefits are acknowledged, responsibility for identifying, structuring and recording the learning experiences and learning outcomes is charged to the student. This poster describes a framework ‘The Peer Leader Capacity Building Model’ that purposefully structures the peer-leader’s learning journey providing: timely training, moments of critical reflection and goal setting. The model articulates the fundamental interplay of learning and peer leader service which forms the peer ‘learnership’. The journey begins with the ‘aspiration’ phase where students come to understand their leadership opportunities, progressing through ‘enabling’ and ‘mastering’ phases where students shape their learner-leader experience, and finally, to the ‘contributing graduate’ phase where students emerge as competent graduates able to confidently participate in their communities and workplaces. In shifting from a program centric approach that priorities the needs of the mentees, the Peer Leader Capacity Building Model focuses on the individual as a peer leader encouraging the student to shape their individual ‘learnscape’ through consciously navigating both their curricula and co-curricular learning experiences.

Practices to enhance peer program implementation integrity to safeguard peer leaders and learners

The powerful influence of peers on fellow students’ learning engagement and their ability to foster self-efficacy is well recognised. A positive learner mindset can be fostered through establishment of guided meaningful relationships formed between peers. Recognising the value of peer connections in shaping the student learning experience, peer programs have been widely adopted by universities as a mechanism to facilitate these connections. While potentially beneficial, a lack of knowledge and inexperience by program implementers can lead to program outcomes being compromised. To mitigate this risk, QUT has established university wide systems and benchmarks for enacting peer programs. These measures aim to promote program implementation integrity by supporting and developing the knowledge and capabilities of peer leaders and program coordinators. This paper describes a range of measures that have been instigated to optimise the quality of programs and ensure outcomes are mutually constructive and beneficial for all stakeholders.

Regulating ride-sharing in the peer economy

The rise of the peer economy poses complex new regulatory challenges for policy-makers. The peer economy, typified by services like Uber and AirBnB, promises substantial productivity gains through the more efficient use of existing resources and a marked reduction in regulatory overheads. These services are rapidly disrupting existing established markets, but the regulatory trade-offs they present are difficult to evaluate. In this paper, we examine the peer economy through the context of ride-sharing and the ongoing struggle over regulatory legitimacy between the taxi industry and new entrants Uber and Lyft. We first sketch the outlines of ride-sharing as a complex regulatory problem, showing how questions of efficiency are necessarily bound up in questions about levels of service, controls over pricing, and different approaches to setting, upholding, and enforcing standards. We outline the need for data-driven policy to understand the way that algorithmic systems work and what effects these might have in the medium to long term on measures of service quality, safety, labour relations, and equality. Finally, we discuss how the competition for legitimacy is not primarily being fought on utilitarian grounds, but is instead carried out within the context of a heated ideological battle between different conceptions of the role of the state and private firms as regulators. We ultimately argue that the key to understanding these regulatory challenges is to develop better conceptual models of the governance of complex systems by private actors and the available methods the state has of influencing their actions. These struggles are not, as is often thought, struggles between regulated and unregulated systems. The key to understanding these regulatory challenges is to better understand the important regulatory work carried out by powerful, centralised private firms – both the incumbents of existing markets and the disruptive network operators in the peer-economy.

A Bayesian model of source monitoring

The Source Monitoring Framework is a promising model of constructive memory, yet fails because it is connectionist and does not allow content tagging. The Dual-Process Signal Detection Model is an improvement because it reduces mnemic qualia to a single memory signal (or degree of belief), but still commits itself to non-discrete representation. By supposing that ‘tagging’ means the assignment of propositional attitudes to aggregates of anemic characteristics informed inductively, then a discrete model becomes plausible. A Bayesian model of source monitoring accounts for the continuous variation of inputs and assignment of prior probabilities to memory content. A modified version of the High-Threshold Dual-Process model is recommended to further source monitoring research.