Enhancing workplace learning through collaborative HRD

Human resource development (HRD) has evolved a great deal over the past 20 years. Indeed, developments in HRD theory, research and practice have helped transform HRD from a reactive function focusing on administrative and bureaucratic issues to a proactive function focusing on creating learning and development opportunities for employees that not only allow them to achieve their potential but also make a substantial contribution to the longterm survival and sustainability of the organisation. HRD is now seen as an investment in the future of an organisation. This investment perspective is based on the recognition that HRD is linked to business strategy and the achievement of competitive advantage (Caravan et al. 2002). One reason for the shift in emphasis is that many of the traditional sources of competitive advantage (technology, economies of scale) have diminished in value. Nowadays it is the workforce that has come to be seen as an important source of competitive advantage for the organisation. However, not too long ago employees were viewed by management as a disposable resource rather than an asset to an organisation.

Improving self organizing capabilities of local communities for sustainable development in decentralized Indonesia : the roles of procedural justice and social learning

The development planning process introduced under Law No. 25/2004 is said to be a better approach to increase public participation in decentralised Indonesia. This Law has introduced planning mechanisms, called Musyawarah Perencanaan Pembangunan (musrenbang), to provide a forum for development planning. In spite of the expressed intention of these mechanisms to improve public participation, some empirical observations have cast doubt on the outcomes. As a result, some local governments have tried to provide alternative mechanisms for participatory local development planning processes. Since planning constitutes one of the most effective ways to improve community empowerment, this paper aims to examine the extent to which the alternative local development planning process in Indonesia provides sufficient opportunities to improve the self organising capabilities of communities to sustain development programs to meet local needs. In so doing, this paper explores the key elements and approaches of the concept of community empowerment and shows how they can be incorporated within planning processes. Based on this, it then examines the problems encountered by musrenbang in increasing community empowerment. Having done this, it is argued that to change current unfavourable outcomes, procedural justice and social learning approaches need to be incorporated as pathways to community empowerment. Lastly the capacity of an alternative local planning process, called Sistem Dukungan (SISDUK), introduced in South Sulawesi, offering scope to incorporate procedural justice and social learning is explored as a means to improve the self organizing capabilities of local communities.

Learning multidimensional joint control of a robot using receding horizon locally weighted regression

In this paper we explore the ability of a recent model-based learning technique Receding Horizon Locally Weighted Regression (RH-LWR) useful for learning temporally dependent systems. In particular this paper investigates the application of RH-LWR to learn control of Multiple-input Multiple-output robot systems. RH-LWR is demonstrated through learning joint velocity and position control of a three Degree of Freedom (DoF) rigid body robot.

Using Bayesian methods for the estimation of uncertainty in complex statistical models

The research objectives of this thesis were to contribute to Bayesian statistical methodology by contributing to risk assessment statistical methodology, and to spatial and spatio-temporal methodology, by modelling error structures using complex hierarchical models. Specifically, I hoped to consider two applied areas, and use these applications as a springboard for developing new statistical methods as well as undertaking analyses which might give answers to particular applied questions. Thus, this thesis considers a series of models, firstly in the context of risk assessments for recycled water, and secondly in the context of water usage by crops. The research objective was to model error structures using hierarchical models in two problems, namely risk assessment analyses for wastewater, and secondly, in a four dimensional dataset, assessing differences between cropping systems over time and over three spatial dimensions. The aim was to use the simplicity and insight afforded by Bayesian networks to develop appropriate models for risk scenarios, and again to use Bayesian hierarchical models to explore the necessarily complex modelling of four dimensional agricultural data. The specific objectives of the research were to develop a method for the calculation of credible intervals for the point estimates of Bayesian networks; to develop a model structure to incorporate all the experimental uncertainty associated with various constants thereby allowing the calculation of more credible credible intervals for a risk assessment; to model a single day’s data from the agricultural dataset which satisfactorily captured the complexities of the data; to build a model for several days’ data, in order to consider how the full data might be modelled; and finally to build a model for the full four dimensional dataset and to consider the timevarying nature of the contrast of interest, having satisfactorily accounted for possible spatial and temporal autocorrelations. This work forms five papers, two of which have been published, with two submitted, and the final paper still in draft. The first two objectives were met by recasting the risk assessments as directed, acyclic graphs (DAGs). In the first case, we elicited uncertainty for the conditional probabilities needed by the Bayesian net, incorporated these into a corresponding DAG, and used Markov chain Monte Carlo (MCMC) to find credible intervals, for all the scenarios and outcomes of interest. In the second case, we incorporated the experimental data underlying the risk assessment constants into the DAG, and also treated some of that data as needing to be modelled as an ‘errors-invariables’ problem [Fuller, 1987]. This illustrated a simple method for the incorporation of experimental error into risk assessments. In considering one day of the three-dimensional agricultural data, it became clear that geostatistical models or conditional autoregressive (CAR) models over the three dimensions were not the best way to approach the data. Instead CAR models are used with neighbours only in the same depth layer. This gave flexibility to the model, allowing both the spatially structured and non-structured variances to differ at all depths. We call this model the CAR layered model. Given the experimental design, the fixed part of the model could have been modelled as a set of means by treatment and by depth, but doing so allows little insight into how the treatment effects vary with depth. Hence, a number of essentially non-parametric approaches were taken to see the effects of depth on treatment, with the model of choice incorporating an errors-in-variables approach for depth in addition to a non-parametric smooth. The statistical contribution here was the introduction of the CAR layered model, the applied contribution the analysis of moisture over depth and estimation of the contrast of interest together with its credible intervals. These models were fitted using WinBUGS [Lunn et al., 2000]. The work in the fifth paper deals with the fact that with large datasets, the use of WinBUGS becomes more problematic because of its highly correlated term by term updating. In this work, we introduce a Gibbs sampler with block updating for the CAR layered model. The Gibbs sampler was implemented by Chris Strickland using pyMCMC [Strickland, 2010]. This framework is then used to consider five days data, and we show that moisture in the soil for all the various treatments reaches levels particular to each treatment at a depth of 200 cm and thereafter stays constant, albeit with increasing variances with depth. In an analysis across three spatial dimensions and across time, there are many interactions of time and the spatial dimensions to be considered. Hence, we chose to use a daily model and to repeat the analysis at all time points, effectively creating an interaction model of time by the daily model. Such an approach allows great flexibility. However, this approach does not allow insight into the way in which the parameter of interest varies over time. Hence, a two-stage approach was also used, with estimates from the first-stage being analysed as a set of time series. We see this spatio-temporal interaction model as being a useful approach to data measured across three spatial dimensions and time, since it does not assume additivity of the random spatial or temporal effects.

Informed learning : a catalyst for change in theological libraries

This paper discusses the potential interest of informed learning as a catalyst for change in theological libraries. Informed learning is a label for the relational approach to information literacy and information literacy education. It was created to highlight the importance of simultaneous attention to both information and learning when we consider peoples’ experiences in their information rich lives. The paper explores the idea of informed learning, suggesting that serious attention to informed learning experiences may challenge our thinking about our role as information professionals and the ways in which we serve our clients. The paper then moves to explore our current understandings of informed learning in faith communities and suggests some ways in which theological librarians can work to build informed communities.

“More tick-the-box”: the challenge of promoting interdisciplinary learning in the middle years through the Australian history curriculum

The Australian Curriculum marks national reforms in social science education, first with the return to the disciplines of history and geography and second, through a new approach to interdisciplinary learning. This paper raises the question of whether the promise of interdisciplinary learning can be realised in the middle years of schooling if teachers have to teach history as a discipline rather than within an over-arching integrated curriculum framework. The paper explores the national blueprints and considers the national history curriculum in light of theories of teachers’ knowledge and middle school education. Evidence from teacher interviews indicates that historical understanding can be achieved through integrated frameworks to meet the goals of middle schooling.

Distributed leadership and professional learning communities

This paper focuses on understanding distributed leadership and professional learning communities (PLCs). Through an Australian Government grant, the Teacher Education Done Differently (TEDD) project, data were analysed from 25 school executives about distributed leadership as a potential for influencing educational change through forums such as PLCs. Findings will be discussed in relation to: (1) Understanding the nature of a PLC, (2) Leadership within PLCs, (3) Advancing PLCs, and (4) PLCs as forums for capacity building a profession. A cyclic model for facilitating PLCs is presented, where information such as issues and problems are brought to the collective, discussed and analysed openly to provide further feedback. There are implications for leaders to up-skill staff on distributed leadership practices and further research required to determine which practices facilitate successful PLCs.

Affiliation, autonomy and assessment for learning

Assessment for Learning (AfL) is an international assessment area of interest, yet, during 20 years of AfL research, the desired outcome of increased learner autonomy remains elusive. This article analyses AfL practices in classrooms as students negotiated identities as autonomous learners within a classroom community of practice. A sociocultural theoretical framework in formed the analysis of three case studies conducted in Queensland middle school classrooms. Key findings include the importance of the teacher–student relationship, viewing AfL as patterns of participation that develop expertise, and learner autonomy as a negotiated learner identity within each classroom context.

Representative learning design and functionality of research and practice in sport

Egon Brunswik proposed the concept of “representative design” for psychological experimentation, which has historically been overlooked or confused with another of Brunswik’s terms, ecological validity. In this article, we reiterate the distinc­tion between these two important concepts and highlight the relevance of the term representative design for sports psychology, practice, and experimental design. We draw links with ideas on learning design in the constraints-led approach to motor learning and nonlinear pedagogy. We propose the adoption of a new term, repre­sentative learning design, to help sport scientists, experimental psychologists, and pedagogues recognize the potential application of Brunswik’s original concepts, and to ensure functionality and action fidelity in training and learning environments.

Developing the Pattern and Structure Assessment (PASA) interview to inform early mathematics learning

The Pattern and Structure Mathematical Awareness Program(PASMAP) stems from a 2-year longitudinal study on students’ early mathematical development. The paper outlines the interview assessment the Pattern and Structure Assessment(PASA) designed to describe students’ awareness of mathematical pattern and structure across a range of concepts. An overview of students’ performance across items and descriptions of their structural development are described.

Perceived gender differences in STEM learning in the middle school

Women are underrepresented in science, technology, engineering and mathematics (STEM) university coursework, reflecting long-standing gender issues that have existed in core middle-school STEM subject areas. Using data from a survey and written responses, we report on findings following the introduction of engineering education in middle school classes across three schools (grade level 7, n=122). The engineering experiences fused science, technology and mathematics concepts. The survey revealed higher percentages for girls than boys in 13 of the 24 items; however there were six items with a 20% difference in their perceptions about learning in STEM. For instance, despite girls recording that they have been provided equal or more opportunities than boys in STEM, they believed they do not do as well as boys (80% boys, 48% girls) or want to seek a career in STEM (39% boys, 17% girls). The written responses revealed gender differences across a number of themes in the students’ responses, including resources, group work, the nature and type of learning experiences, content knowledge, and teachers’ instructional style. Exposing students to STEM education facilitates an awareness of their learning and may assist girls to consider studying STEM subjects or STEM careers.

Complex learning through cognitively demanding tasks

The world’s increasing complexity, competitiveness, interconnectivity, and dependence on technology generate new challenges for nations and individuals that cannot be met by “continuing education as usual” (The National Academies, 2009). With the proliferation of complex systems have come new technologies for communication, collaboration, and conceptualization. These technologies have led to significant changes in the forms of mathematical thinking that are required beyond the classroom. This paper argues for the need to incorporate future-oriented understandings and competencies within the mathematics curriculum, through intellectually stimulating activities that draw upon multidisciplinary content and contexts. The paper also argues for greater recognition of children’s learning potential, as increasingly complex learners capable of dealing with cognitively demanding tasks.

Mathematics and complex learning

There is unprecedented worldwide demand for mathematical solutions to complex problems. That demand has generated a further call to update mathematics education in a way that develops students’ abilities to deal with complex systems.