Continuing success of a strategy to support accelerated nursing students at two diverse campuses

A strategy initiated in 2010 to support and improve the retention rate of diverse cohorts of accelerated nursing students at two QUT campuses continued to be successful in 2012. An additional procedure involving the formation of learning communities was trialled in 2012 to address the social dimension of learning and assist in enhancing the quality of accelerated nurse’s first year university experience. A supported formative assessment activity was planned to allow the students to collaborate in learning communities.

Academic Development Program : QUT University Wide

The QUT Sessional Academic Program (SAP) has scaffolded levels, each with experience-appropriate objectives: • SAP 1: Introduction to Learning and Teaching aims to develop confidence and build awareness of pedagogy and managing class-room scenarios. • SAP 2: Learning and Teaching in Large Units focuses on aligning curriculum and assessment through learning activities and builds a community of teaching practice with sessionals and subject coordinators. • SAP 3: Developing your Teaching Practice focuses on whole of university and classroom strategies to ensure student success through effective feedback; reflective practice and learning communities. • SAP 4: Enhancing your Teaching Practice applies these factors to teaching success. In conjunction with: • Sessional Career Advancement Development: for Higher Degree Research students/ sessional staff who aspire to become academics provides guidance on developing an academic portfolio in teaching, research and service. And • Sessional Academic Success program providing ongoing, local support (see separate nomination). A critical factor in its success is its praxis approach. Theoretical principles are modelled. Eg, ‘active learning’ is explained and modelled through learning activities, which participants evaluate ‘on the fly’ against the criteria of learning, engagement and connection with peers. The topics ‘learning communities’ and ‘reflective practice’ are explored as a learning community–then applied in participants’ classes, with reflections shared in the next session. This produces a ‘meta-awareness’ of theory and principles, as they are explained, applied in practice, and critically analysed for their effectiveness in workshops.

Towards fairer assessment

Drawing on the largest Australian collection and analysis of empirical data on multiple facets of Aboriginal and Torres Strait Islander education in state schools to date, this article critically analyses the systemic push for standardized testing and improved scores, and argues for a greater balance of assessment types by providing alternative, inclusive, participatory approaches to student assessment. The evidence for this article derives from a major evaluation of the Stronger Smarter Learning Communities. The first large-scale picture of what is occurring in classroom assessment and pedagogy for Indigenous students is reported in this evaluation yet the focus in this article remains on the issue of fairness in student assessment. The argument presented calls for “a good balance between formative and summative assessment” (OECD, Synergies for Better Learning An International Perspective on Evaluation and Assessment, Pointers for Policy Development, 2013) at a time of unrelenting high-stakes, standardized testing in Australia with a dominance of secondary as opposed to primary uses of NAPLAN data by systems, schools and principals. A case for more “intelligent accountability in education” (O’Neill, Oxford Review of Education 39(1):4–16, 2013) together with a framework for analyzing efforts toward social justice in education (Cazden, International Journal of Educational Psychology 1(3):178–198, 2012) and fairer assessment make the case for more alternative assessment practices in recognition of the need for teachers’ pedagogic practice to cater for increased diversity.

Constructing a frame of cube : connecting 3D shapes with direction, location and movement

With the advancement of new technologies, this author has in 2010 started to engineer an online learning environment for investigating the nature and development of spatial abilities, and the teaching and learning of geometry. This paper documents how this new digital learning environment can afford the opportunity to integrate the learning about 3D shapes with direction, location and movement, and how young children can mentally and visually construct virtual 3D shapes using movements in both egocentric and fixed frames of reference (FOR). Findings suggest that year 4 (aged 9) children can develop the capacity to construct a cube using egocentric FOR only, fixed FOR only or a combination of both FOR. However, these young participants were unable to articulate the effect of individual or combined FOR movements. Directions for future research are proposed.

Prediction with limited advice and multiarmed bandits with paid observations

We study two problems of online learning under restricted information access. In the first problem, prediction with limited advice, we consider a game of prediction with expert advice, where on each round of the game we query the advice of a subset of M out of N experts. We present an algorithm that achieves O(√(N/M)TlnN ) regret on T rounds of this game. The second problem, the multiarmed bandit with paid observations, is a variant of the adversarial N-armed bandit game, where on round t of the game we can observe the reward of any number of arms, but each observation has a cost c. We present an algorithm that achieves O((cNlnN) 1/3 T2/3+√TlnN ) regret on T rounds of this game in the worst case. Furthermore, we present a number of refinements that treat arm- and time-dependent observation costs and achieve lower regret under benign conditions. We present lower bounds that show that, apart from the logarithmic factors, the worst-case regret bounds cannot be improved.

Does usability engineering matters for STEM education?

Technological maturity and the exponential growth of digital applications are contributing to lifestyle changes worldwide. Consequently, learning and teaching is demanding more effective sociotechnical interactions involving emerging technologies, as opposed to traditional, conventional face-to-face learning and teaching approaches. In this context, usability engineering is making significant contributions for improving computer and distance-based learning, both for learners and instructors, which have often been ignored when designing online learning and teaching applications. Usability testing is a central part of the human centered learning approach for developing sustainable STEM education from the socio-technological perspective. Our experiences with usability engineering and the impact of teaching low-cost rapid usability testing methods on knowledge translation from undergraduate to graduate courses to real-world practice (i.e. getting the methods out there in real use) are diverse and multi-modal. Our sample space has been hundreds of trained students who have learned how to do effective usability engineering in real-world situations at higher levels of realism (i.e. fidelity) and at a much lower cost than using traditional fixed usability labs. Furthermore, this low-cost rapid approach to usability engineering has been adopted by many of our graduates who are now managers, CIOs etc and who are using the methods routinely in their organizations in real world applications and scenarios. This knowledge has been used to improve design and implementation of a wide range of applications, including applications designed for teaching and learning.

The Pareto regret frontier

Performance guarantees for online learning algorithms typically take the form of regret bounds, which express that the cumulative loss overhead compared to the best expert in hindsight is small. In the common case of large but structured expert sets we typically wish to keep the regret especially small compared to simple experts, at the cost of modest additional overhead compared to more complex others. We study which such regret trade-offs can be achieved, and how. We analyse regret w.r.t. each individual expert as a multi-objective criterion in the simple but fundamental case of absolute loss. We characterise the achievable and Pareto optimal trade-offs, and the corresponding optimal strategies for each sample size both exactly for each finite horizon and asymptotically.

Follow the leader if you can, hedge if you must

Follow-the-Leader (FTL) is an intuitive sequential prediction strategy that guarantees constant regret in the stochastic setting, but has poor performance for worst-case data. Other hedging strategies have better worst-case guarantees but may perform much worse than FTL if the data are not maximally adversarial. We introduce the FlipFlop algorithm, which is the first method that provably combines the best of both worlds. As a stepping stone for our analysis, we develop AdaHedge, which is a new way of dynamically tuning the learning rate in Hedge without using the doubling trick. AdaHedge refines a method by Cesa-Bianchi, Mansour, and Stoltz (2007), yielding improved worst-case guarantees. By interleaving AdaHedge and FTL, FlipFlop achieves regret within a constant factor of the FTL regret, without sacrificing AdaHedge’s worst-case guarantees. AdaHedge and FlipFlop do not need to know the range of the losses in advance; moreover, unlike earlier methods, both have the intuitive property that the issued weights are invariant under rescaling and translation of the losses. The losses are also allowed to be negative, in which case they may be interpreted as gains.

Gambling & gaming : power relations in dispute resolution

Who, ultimately, has power? Is it the senior executive with his finger on the off switch, is it the users themselves who make the decision to participate and contribute financially, or is it those who report on the actions of the company with the ability to reach large numbers of existing and potential players? In both the gambling and gaming industries, power is up for grabs. This work undertakes to consider how norms are formed in online gaming communities; that is, how the developers and players negotiate amongst themselves both how the game will operate. Also considered is how to resolve disputes that arise, and what power and limitations each side has when they need to make an impact – from developers switching off the server, to players quitting en-mass or causing disruption within the environment (using the recent example of Eve Online). Outside of the direct sphere of the game however a third party lurks – commentators. These may take the form of well established review sites, community forums or, in the case of the gambling industry, dispute resolution services but their power stake is clear – by publicising and interpreting the acts of both developers and players, they are in a position to influence whether current players stick with a company, whether new players join a company and how the company is perceived in the wider community.

Studio teaching in Australian planning curriculum

Planning studio pedagogy has long been a part of planning education and has recently re-emerged as a topic of investigation. Scholarship has: 1) critically examined the fluctuating popularity of studio teaching and the changing role of studio teaching in contemporary planning curricula in the USA and New Zealand; 2) challenged conceptualizations of the traditional studio and considered how emerging strategies for blended and online learning, and ‘real world engagement’ are producing new modes of studio delivery; 3) considered the benefits and outcomes of studio teaching, and; 4) provided recommendations for teaching practice by critically analysing studio experiences in different contexts (Aitken-Rose & Dixon, 2009; Balassiano, 2011; Balassiano & West, 2012; Balsas, 2012; Dandekar, 2009; Heumann & Wetmore, 1984; Higgins, Thomas & Hollander, 2010; Lang, 1983; Long, 2012; Németh & Long, 2012; Winkler, 2013). Twenty-three universities in Australia offer accredited planning degrees, yet data about the use of studio teaching in planning programs are limited. How, when and why are studio pedagogies used? If it is not a part of the curriculum – why?, and has this had any impact on student outcomes? What are the opportunities and limitations of new models of studio teaching for student, academic, professional and institutional outcomes? This paper presents early ideas from a QUT seed grant on the use of studio teaching in Australian planning education to gain a better understanding of the different roles of studio teaching in planning curricula at a National level and opportunities and challenges for this pedagogical mode in the face of dilemmas facing planning education.

The 'gourmet' sausage factory: Keeping it human

Whilst tertiary institutions continue to invest heavily in the technological aspects of online Teaching & Learning (T&L), there does not appear to have been a commensurate investment in the “human” aspects of the use of the technology. Despite the broad recognition that teaching and learning materials need to be adapted for and to the onscreen medium, little attention appears to have been paid thus far to the actual people who are delivering it – who equally need to “adapt themselves” to that medium, in order to maximise the benefit of the technology by maximising the human communication skills of those using the online medium – as distinct from the technical skills required to drive and deliver the bits and bytes. The REdelivery Initiative was a direct response to that notion. This paper details – by way of a narrative of one of the workshop participants – that part of the process involving the professional development of academics specifically in and specifically for the digital, online, T&L context, in order to both illuminate and maximise the potential and opportunities afforded by the technology.

Combining initial segments of lists

We propose a new way to build a combined list from K base lists, each containing N items. A combined list consists of top segments of various sizes from each base list so that the total size of all top segments equals N. A sequence of item requests is processed and the goal is to minimize the total number of misses. That is, we seek to build a combined list that contains all the frequently requested items. We first consider the special case of disjoint base lists. There, we design an efficient algorithm that computes the best combined list for a given sequence of requests. In addition, we develop a randomized online algorithm whose expected number of misses is close to that of the best combined list chosen in hindsight. We prove lower bounds that show that the expected number of misses of our randomized algorithm is close to the optimum. In the presence of duplicate items, we show that computing the best combined list is NP-hard. We show that our algorithms still apply to a linearized notion of loss in this case. We expect that this new way of aggregating lists will find many ranking applications.

Second-order quantile methods for experts and combinatorial games

We aim to design strategies for sequential decision making that adjust to the difficulty of the learning problem. We study this question both in the setting of prediction with expert advice, and for more general combinatorial decision tasks. We are not satisfied with just guaranteeing minimax regret rates, but we want our algorithms to perform significantly better on easy data. Two popular ways to formalize such adaptivity are second-order regret bounds and quantile bounds. The underlying notions of 'easy data', which may be paraphrased as "the learning problem has small variance" and "multiple decisions are useful", are synergetic. But even though there are sophisticated algorithms that exploit one of the two, no existing algorithm is able to adapt to both. In this paper we outline a new method for obtaining such adaptive algorithms, based on a potential function that aggregates a range of learning rates (which are essential tuning parameters). By choosing the right prior we construct efficient algorithms and show that they reap both benefits by proving the first bounds that are both second-order and incorporate quantiles.

Live from the Sydney Opera House: Remote musical interactions for teacher professional development

A significant challenge for the implementation of the Australian Curriculum: The Arts is the professional development of primary school teachers in all parts of the country. During 2012, the Sydney Symphony Orchestra (SSO) conducted a remote music professional development workshop as part of the Sydney Opera House’s Digital Education Program for teachers in New South Wales using the Department of Education’s Connected Classroom system which allows live synchronous interaction between facilitators and participants in multiple sites. In this article, we analyse observational and videotape data collected during this live professional development event to consider the opportunities and challenges presented by this type of professional learning experience in the arts. In particular, consideration is given to the impact of a remote musical interaction on embodied learning and aesthetic experience. We draw on actor-network theory to consider the ways in which a remote professional development experience differs to one in which all participants are present in the same space. Finally, we conclude that although there are significant differences in the type of learning that occurs in a remote music interaction, the online space provides a legitimate and potentially transforming experience for primary school teachers.

Exploring variation in the ways of experiencing health information literacy: A phenomenographic study

From a relational perspective of information literacy, health information literacy is interpreted as the different ways in which people experience using information to learn about health. Phenomenography was used as a research approach to explore variation in people's experience of using information to learn about health from data collected through semi-structured interviews. The findings identify seven categories that describe the qualitatively different ways in which people experience health information literacy: building a new knowledge base;weighing up information; discerning valid information; paying attention to bodily information; staying informed about health; Participating in learning communities, and envisaging health. These findings can be used to enhance awareness about the different ways of experiencing health information literacy, and to contribute to a nascent trajectory of research that has explored information literacy within the context of everyday life.