Interconnecting networks of practice for professional learning

The article explores the complementary connections between communities of practice and the ways in which individuals orchestrate their engagement with others to further their professional learning. It does so by reporting on part of a research project conducted in New Zealand on teachers’ online professional learning in a university graduate diploma program on ICT education. Evolving from social constructivist pedagogy for online professional development, the research describes how teachers create their own networks of practice as they blend online and offline interactions with fellow learners and workplace colleagues. Teachers’ perspectives of their professional learning activities challenge the way universities design formal online learning communities and highlight the potential for networked learning in the zones and intersections between professional practice and study.
The article extends the concepts of Lave and Wenger’s (1991) communities of practice social theory of learning by considering the role participants play in determining their engagement and connections in and across boundaries between online learning communities and professional practice. It provides insights into the applicability of connectivist concepts for developing online pedagogies to promote socially networked

An agent-based approach to value theory and wealth distribution in economics

Any attempt to model an economy requires foundational assumptions about the relations between prices, values and the distribution of wealth. These assumptions exert a profound influence over the results of any model. Unfortunately, there are few areas in economics as vexed as the theory of value. I argue in this paper that the fundamental problem with past theories of value is that it is simply not possible to model the determination of value, the formation of prices and the distribution of income in a real economy with analytic mathematical models. All such attempts leave out crucial processes or make unrealistic assumptions which significantly affect the results. There have been two primary approaches to the theory of value. The first, associated with classical economists such as Ricardo and Marx were substance theories of value, which view value as a substance inherent in an object and which is conserved in exchange. For Marxists, the value of a commodity derives solely from the value of the labour power used to produce it - and therefore any profit is due to the exploitation of the workers. The labour theory of value has been discredited because of its assumption that labour was the only ‘factor’ that contributed to the creation of value, and because of its fundamentally circular argument. Neoclassical theorists argued that price was identical with value and was determined purely by the interaction of supply and demand. Value then, was completely subjective. Returns to labour (wages) and capital (profits) were determined solely by their marginal contribution to production, so that each factor received its just reward by definition. Problems with the neoclassical approach include assumptions concerning representative agents, perfect competition, perfect and costless information and contract enforcement, complete markets for credit and risk, aggregate production functions and infinite, smooth substitution between factors, distribution according to marginal products, firms always on the production possibility frontier and firms’ pricing decisions, ignoring money and credit, and perfectly rational agents with infinite computational capacity. Two critical areas include firstly, the underappreciated Sonnenschein-Mantel- Debreu results which showed that the foundational assumptions of the Walrasian general-equilibrium model imply arbitrary excess demand functions and therefore arbitrary equilibrium price sets. Secondly, in real economies, there is no equilibrium, only continuous change. Equilibrium is never reached because of constant changes in preferences and tastes; technological and organisational innovations; discoveries of new resources and new markets; inaccurate and evolving expectations of businesses, consumers, governments and speculators; changing demand for credit; the entry and exit of firms; the birth, learning, and death of citizens; changes in laws and government policies; imperfect information; generalized increasing returns to scale; random acts of impulse; weather and climate events; changes in disease patterns, and so on. The problem is not the use of mathematical modelling, but the kind of mathematical modelling used. Agent-based models (ABMs), objectoriented programming and greatly increased computer power however, are opening up a new frontier. Here a dynamic bargaining ABM is outlined as a basis for an alternative theory of value. A large but finite number of heterogeneous commodities and agents with differing degrees of market power are set in a spatial network. Returns to buyers and sellers are decided at each step in the value chain, and in each factor market, through the process of bargaining. Market power and its potential abuse against the poor and vulnerable are fundamental to how the bargaining dynamics play out. Ethics therefore lie at the very heart of economic analysis, the determination of prices and the distribution of wealth. The neoclassicals are right then that price is the enumeration of value at a particular time and place, but wrong to downplay the critical roles of bargaining, power and ethics in determining those same prices.

'Becoming a supervisor' : the impact of doctoral supervision on supervisors' learning

The doctorate is an educative process for students but what is its impact on supervisors' learning about the practice of doctoral supervision? Internationally, there is an increased emphasis on formal training, monitoring and accountability of doctoral supervisors. Yet there is a striking silence about what doctoral supervisors learn through supervising doctoral students, and how the impacts on supervisors might be theorised. The aim of this article is to begin to address this gap in the doctoral education literature, based on a thematic analysis of two complementary interview studies of a cross-disciplinary sample of experienced doctoral supervisors. The analysis illustrates the significant impact of doctoral supervision on the learning and knowledge of doctoral supervisors, particularly in relation to how supervisors engage with/in the social and political context of their university, understand themselves and their students, and how the contemporary context of supervision affects the sort of pedagogical relationships supervisors establish with their doctoral students. Regardless of supervisors' discipline, position in the academic hierarchy or supervisory experience, the analysis indicates that supervisors' learning experiences shape their subjectivities and identities, and that supervision is an ongoing ontological process of ‘becoming a supervisor’. The importance of integrating a theory of ‘becoming a supervisor’ into supervisor professional development is proposed.

Social cognitive theory in mobile banking innovations

This paper examines the behavior Australian youths have toward mobile banking. Social cognitive theory is the theoretical framework in which a conceptual model is empirically tested. The conceptual model includes five constructs (media, modeling, outcome expectancy, learning orientation and entrepreneurial orientation), which are proposed to influence an individual’s intention to adopt mobile banking. The conceptual model is tested in a sample of Australian youths and the analysis supports a portion of the proposed conceptual model. The findings support the link between the media and an individual’s entrepreneurial orientation with their intention to adopt mobile banking. The paper demonstrates how social cognitive theory is a useful foundation to understand the external and internal stimuli that influence an individual’s desire to adopt mobile banking.

The value of experiential learning for providing a contextual understanding of the construction process

This research investigates effectiveness of real site visits within an undergraduate course. Experiential learning is a process of providing education, based on the experiences and observations of real-world examples. Some of the theory of experiential learning has been used to examine whether site visits assist the students learning experience.

The results of the research show that students generally have a positive attitude towards site visits and see them as beneficial. Although the study identified that some aspects of construction technology could be easily replaced by computer simulations and the like, other aspects of the curriculum are more effectively taught by retaining real site visits. The research was intended to provide a more structured approach to determining the value of site-based learning in construction-related courses.

Towards a southern theory of higher education

Crudely, social inclusion in Australian higher education is a numbers game. While the student recruitment departments of universities focus on ‘bums on seats’, equity advocates draw attention to ‘which bums’, in ‘what proportions’, and, more to the point, ‘which seats’, ‘where’. But if the counting of bums is crude, so is the differentiation of seats. Just distinguishing between courses and universities and scrutinizing the distribution of groups, is a limited view of equity. The most prestigious seats of learning give students access primarily to dominant forms of knowledge and ways of thinking. In terms of access, it is to a diminished higher education, for all. Further, undergraduates – particularly in their first year – are rarely credited with having much to contribute. Higher education is the poorer for it. In this paper I propose an expanded conception for social inclusion and an enlarged regard for what is being accessed by students who gain entry to university. Drawing on Connell’s conception of ‘Southern Theory’, I highlight power/knowledge relations in higher education and particularly ‘southerners’: those under‐represented in universities – often located south of ENTER (Equivalent National Tertiary Entrance Rank) cut‐offs – and whose cultural capital is similarly marginalised and discounted. While increasing regard for the importance of Indigenous knowledges is beginning to challenge the norms of higher education, we are yet to generalise such reconceptions of epistemology to include knowledges particular to people from regional and rural areas, with disabilities, and from low socioeconomic backgrounds. Nor have we really engaged with different ways of thinking about the physical and social worlds that are particular to these groups. To take account of marginalized forms of knowledge and of thinking will mean thinking differently about what higher education is and how it gets done.

The lived experience of flexible education : theory, policy and practice

The range of rationales that underpin conceptions of flexible education, and the re-making over time of the official meaning of flexibility in national education policy, have led to the point where flexibility might be found, or be required, in nearly every aspect of Australian higher education. This paper seeks to identify those rationales and the development of public policy rhetoric that have framed the development of the meaning of flexible education over time in an Australian context. By considering the intersection of theoretical and policy perspectives on flexible education with the realities of teaching and learning practice in the discipline context of engineering, this paper proposes the essential importance of individual context and agency in the making of real meaning from, and creating practical boundaries around, the otherwise tenuous definitions of flexibility often offered by institutional policy.

The impact of emotions on practicum learning

Nine mature aged, experienced practitioners enrolled to gain a BSW qualification in social work were interviewed regarding a course requirement to complete the first placement. At the time of interview no recognition of prior learning for previous experience in the field was made possible for these students. As educators we had experienced considerable hostility from students who believed they should be exempt from completing this course requirement. This paper reports on interviews with the nine students, where we consider how student sentiment about completing the practice learning component might impact upon their learning experience. As anticipated, some students expressed strong negative views about being on placement. However, others were much more positive about the experience. These mixed views prompted us to explore further the relationship between emotion and practice learning. The article begins with a review of the literature concerning mature student engagement with tertiary education, followed by an overview of theory and research related to the ways feelings and emotion influence learning. Using passages from the interviews, expressions of participant anxiety, anger and excitement about the practicum are discussed with the view to extending discourse about practicum learning to include consideration of emotional intelligence and investment.

Learning other agents' preferences in multiagent negotiation

In multiagent systems, an agent does not usually have complete information about the preferences and decision making processes of other agents. This might prevent the agents from making coordinated choices, purely due to their ignorance of what others want. This paper describes the integration of a learning module into a communication-intensive negotiating agent architecture. The learning module gives the agents the ability to learn about other agents' preferences via past interactions. Over time, the agents can incrementally update their models of other agents' preferences and use them to make better coordinated decisions. Combining both communication and learning, as two complement knowledge acquisition methods, helps to reduce the amount of communication needed on average, and is justified in situations where communication is computationally costly or simply not desirable (e.g. to preserve the individual privacy).

Narrative structure analysis with education and training videos for e-learning

This paper deals with the problem ofstructuralizing education and training videos for high-level semantics extraction and nonlinear media presentation in e-learning applications. Drawing guidance from production knowledge in instructional media, we propose six main narrative structures employed in education and training videos for both motivation and demonstration during learning and practical training. We devise a powerful audiovisual feature set, accompanied by a hierarchical decision tree-based classification system to determine and discriminate between these structures. Based on a two-liered hierarchical model, we demonstrate that we can achieve an accuracy of 84.7% on a comprehensive set of education and training video data.

A framework for co-ordination and learning among teams of agents

We present a framework for team coordination under incomplete information based on the theory of incomplete information games. When the true distribution of the uncertainty involved is not known in advance, we consider a repeated interaction scenario and show that the agents can learn to estimate this distribution and share their estimations with one another. Over time, as the set of agents' estimations become more accurate, the utility they can achieve approaches the optimal utility when the true distribution is known, while the communication requirement for exchanging the estimations among the agents can be kept to a minimal level.

A hybrid ART-GRNN online learning neural network with a ε-insensitive loss function

In this brief, a new neural network model called generalized adaptive resonance theory (GART) is introduced. GART is a hybrid model that comprises a modified Gaussian adaptive resonance theory (MGA) and the generalized regression neural network (GRNN). It is an enhanced version of the GRNN, which preserves the online learning properties of adaptive resonance theory (ART). A series of empirical studies to assess the effectiveness of GART in classification, regression, and time series prediction tasks is conducted. The results demonstrate that GART is able to produce good performances as compared with those of other methods, including the online sequential extreme learning machine (OSELM) and sequential learning radial basis function (RBF) neural network models.

Managing manufacturing technology investments: An intelligent learning system approach

This paper proposes an intelligent decision-support system for managing manufacturing technology investments. The intelligent system is a hybrid integration of two information processing modules: case-based reasoning and fuzzy ARTMAP – a supervised adaptive resonance theory (ART) neural network with a multi-dimensional map. The developed system captures a company's strategic information, provides facilities to quantify qualitative attributes and analyses them alongside the quantitative attributes in an evaluation framework. Through the system, similar cases can be retrieved to enable managers to make effective use of their knowledge and experience of previously delivered technologies and projects as an input to the prioritization of future projects. Other salient features of the system include its ability to adapt and absorb new knowledge and responses pertaining to significant events in the business environment, as well as to extract and elucidate information from the knowledge database for explaining and justifying its analysis. The applicability of the developed system is evaluated using a real case study in collaboration with a pharmaceutical manufacturing firm.

Engagement and learning through social software in finance : a retrospective on the Trading Room experience

The introduction of a social software blog space called the Trading Room in an undergraduate finance unit generated a great deal of activity to support student learning. A subsequent evaluation of this innovation, viewed through the lens of Activity Theory, demonstrated that students perceived high value in the opportunity it provided for them to reaffirm theories, obtain individualised feedback and benchmark their work against others. While assessment is generally seen as the carrot and the stick of learning; students in the study reported that they would still participate in reading and posting to the Trading Room even if there was no assessment requirement. Students did not see any value in the environment as a purely social space, reporting that they saw it primarily as a professional educational community. It would appear that just as there are different communities in the real world social space, there are also different types of communities in the online space.

Feeding back and enhancing authentic learning in quality course assessment design : locating information systems education in rigorous educational research

Locating information systems education foursquare within rigorous and substantial educational research is crucial if the discipline is to receive the scholarly attention that it warrants. One way to do that is to highlight how current information systems course design in Australian undergraduate and postgraduate programs exhibits the strongest possible elements of contemporary learning theories. This paper analyses selected features of the design of an information systems postgraduate course in an Australian university, including the use of peer review of journal entries and writing professional reports to enhance authentic learning and maximise quality assessment design. The analysis is framed by the principles of instructional design theory (Snyder 2009). The authors argue that, by demonstrating theoretically grounded and effective educational practice, the course highlights the value of being located in wider educational research, and of bringing the two fields more closely together.