Managing open incremental process innovation : absorptive capacity and distributed learning

In this conceptual article, we extend earlier work on Open Innovation and Absorptive Capacity. We suggest that the literature on Absorptive Capacity does not place sufficient emphasis on distributed knowledge and learning or on the application of innovative knowledge. To accomplish physical transformations, organisations need specific Innovative Capacities that extend beyond knowledge management. Accessive Capacity is the ability to collect, sort and analyse knowledge from both internal and external sources. Adaptive Capacity is needed to ensure that new pieces of equipment are suitable for the organisation's own purposes even though they may have been originally developed for other uses. Integrative Capacity makes it possible for a new or modified piece of equipment to be fitted into an existing production process with a minimum of inessential and expensive adjustment elsewhere in the process. These Innovative Capacities are controlled and coordinated by Innovative Management Capacity, a higher-order dynamic capability.

The pragmatic portfolio : an assessment approach for distributed learning

Portfolios, especially where they involve some use of or link to online technologies, are currently a popular focus for learning innovation in universities, drawing on a tradition of using portfolios in some areas of higher education and attempting to extend and broaden this practice. In some cases this focus has led to ambitious plans for whole-of-institution approaches, often involving significant technological development. However, the term portfolio can also cover a wider variety of possible learning and assessment activities and there are ways of using portfolios which, while quite traditional in their own form and approach, enable teachers to approach other aspects of their curriculum and pedagogy in far more innovative ways. This paper explores the conceptual basis on which the Department of Internet Studies at Curtin University of Technology is utilising a pragmatic approach to portfolio assessment within individual units of study, so as to enable a more thorough implementation of distributed learning. In this form of learning, where students regularly contribute to their own and others' learning through short tasks and conversations, the evidence of achievement is widely distributed and not easily accessible for either formative or summative assessment. As explained in the paper, students are required to collate, select, and then contextualise a sample of these numerous productive moments of their ongoing study. The paper concludes that while other goals for portfolio assessment (such as encouraging reflection) can also be used with this approach, its primary value is in unleashing the potential of social media creativity in a manner that motivates students via the requirement of assessment, enables feedback to be provided to guide learning, and which promotes shared responsibility between teachers and students in determining the kind and extent of their learning activities.

Distributed Learning: An Agent-Based Approach to Data-Mining

Peer reviewed

Distributed Adaptive Learning Framework for Wide Area Monitoring of Power Systems Integrated with Distributed Generations

This paper presents a preliminary study of developing a novel distributed adaptive real-time learning framework for wide area monitoring of power systems integrated with distributed generations using synchrophasor technology. The framework comprises distributed agents (synchrophasors) for autonomous local condition monitoring and fault detection, and a central unit for generating global view for situation awareness and decision making. Key technologies that can be integrated into this hierarchical distributed learning scheme are discussed to enable real-time information extraction and knowledge discovery for decision making, without explicitly accumulating and storing all raw data by the central unit. Based on this, the configuration of a wide area monitoring system of power systems using synchrophasor technology, and the functionalities for locally installed open-phasor-measurement-units (OpenPMUs) and a central unit are presented. Initial results on anti-islanding protection using the proposed approach are given to illustrate the effectiveness.

Leading WIL: A distributed leadership approach to enhance work integrated learning : final report 2014

Work Integrated Learning (WIL) provides rich, relevant learning through a partnership between universities and employers. Through a collaborative approach to building knowledge, the capability and capacity of experienced WIL leaders in the university and orkplace will be enhanced for improved student outcomes. Having established how and where WIL leadership is situated, the project will identify the critical challenges to WIL leadership capabilities and structures. Through institutionally-based Master Classes that model and employ a distributed learning approach, through national Communities of Practice and a WIL Leadership Summit, a framework and guidelines to support WIL leadership capacity building nationally will be developed, trialled and validated. The project will draw upon expertise and experiences of staff from five Australian universities, each with a demonstrated strong WIL commitment. The distributive leadership approach to WIL will be developed and tested within employer-based individual disciplines. The framework and guidelines will be sustained nationally through the key WIL professional association, the Australian Collaborative Education Network.

From music student to industry professional: An entrepreneurial learning design

This design-based research project addresses the gap between formal music education curricula and the knowledge and skills necessary to enter the professional music industry. It analyses the work of a teacher/researcher who invited her high school students to start their own business venture, Youth Music Industries (YMI). YMI also functioned as a learning environment informed by the theoretical concepts of communities of practice and social capital. The students staged cycles of events of various scales over a three-year period, as platforms for young artists to engage and develop new, young audiences across Queensland, Australia. The study found that students developed an entrepreneurial mindset through acquisition of specific skills and knowledge. Their learning was captured and distilled into a set of design principles, a pedagogical approach transferrable across the creative industries more broadly.

Distributed optimization in power networks and general multi-agent systems

The dissertation studies the general area of complex networked systems that consist of interconnected and active heterogeneous components and usually operate in uncertain environments and with incomplete information. Problems associated with those systems are typically large-scale and computationally intractable, yet they are also very well-structured and have features that can be exploited by appropriate modeling and computational methods. The goal of this thesis is to develop foundational theories and tools to exploit those structures that can lead to computationally-efficient and distributed solutions, and apply them to improve systems operations and architecture.

Specifically, the thesis focuses on two concrete areas. The first one is to design distributed rules to manage distributed energy resources in the power network. The power network is undergoing a fundamental transformation. The future smart grid, especially on the distribution system, will be a large-scale network of distributed energy resources (DERs), each introducing random and rapid fluctuations in power supply, demand, voltage and frequency. These DERs provide a tremendous opportunity for sustainability, efficiency, and power reliability. However, there are daunting technical challenges in managing these DERs and optimizing their operation. The focus of this dissertation is to develop scalable, distributed, and real-time control and optimization to achieve system-wide efficiency, reliability, and robustness for the future power grid. In particular, we will present how to explore the power network structure to design efficient and distributed market and algorithms for the energy management. We will also show how to connect the algorithms with physical dynamics and existing control mechanisms for real-time control in power networks.

The second focus is to develop distributed optimization rules for general multi-agent engineering systems. A central goal in multiagent systems is to design local control laws for the individual agents to ensure that the emergent global behavior is desirable with respect to the given system level objective. Ideally, a system designer seeks to satisfy this goal while conditioning each agent’s control on the least amount of information possible. Our work focused on achieving this goal using the framework of game theory. In particular, we derived a systematic methodology for designing local agent objective functions that guarantees (i) an equivalence between the resulting game-theoretic equilibria and the system level design objective and (ii) that the resulting game possesses an inherent structure that can be exploited for distributed learning, e.g., potential games. The control design can then be completed by applying any distributed learning algorithm that guarantees convergence to the game-theoretic equilibrium. One main advantage of this game theoretic approach is that it provides a hierarchical decomposition between the decomposition of the systemic objective (game design) and the specific local decision rules (distributed learning algorithms). This decomposition provides the system designer with tremendous flexibility to meet the design objectives and constraints inherent in a broad class of multiagent systems. Furthermore, in many settings the resulting controllers will be inherently robust to a host of uncertainties including asynchronous clock rates, delays in information, and component failures.

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Resumen tomado de la publicación

Distance Learning Education of Software Engineering: Principles and Experiences

Whether distance learning spells the end of traditional campuses, as some maintain, or whether distance learning instead represents a powerful addition to a growing array of delivery options for higher education, its impact on higher education is great and growing. Distance learning is creating alternative models of teaching and learning, new job descriptions for faculty, and new types of higher education providers. The advent of Distance and Distributed Learning has raised numerous questions about quality and quality assurance: ² How do established distance learning institutions ensure quality? ² What more needs to be done? ² How do quality assurance agencies view the distinction between on- and off-campus teaching and learning? This talk discusses these issues from the viewpoints of funding organisa- tion, quality assurance agencies and the learners.

The effect of consumer education on unit price usage : an early exploratory study

Consumer awareness and usage of Unit Price (UP) information continues to hold academic interest. Originally designed as a device to enable shoppers to make comparisons between grocery products, it is argued consumers still lack a sufficient understanding of the device. Previous research has tended to focus on product choice, effect of time, and structural changes to price presentation. No studies have tested the effect of UP consumer education on grocery shopping expenditure. Supported by distributed learning theories, this is the first study to condition participants over a twenty week period, to comprehend and employ UP information while shopping. A 3x5 mixed factorial design was employed to collect data from 357 shoppers. A 3 (Control, Massed, Spaced) x 5 (Time Point: Week 0, 5, 10, 15 and 20) mixed factorial analysis of variance (ANOVA) was performed to analyse the data. Preliminary results revealed that the three groups differed in their average expenditure over the twenty weeks. The Control group remained stable across the five time points. Results indicated that both intensive (Massed) and less intensive (Spaced) exposure to UP information achieved similar results, with both group reducing average expenditure similarly by Week 5. These patterns held for twenty weeks, with conditioned groups reducing their grocery expenditure by over 10%. This research has academic value as a test of applied learning theories. We argue, retailers can attain considerable market advantages as efforts to enhance customers’ knowledge, through consumer education campaigns, can have a positive and strong impact on customer trust and goodwill toward the organisation. Hence, major practical implications for both regulators and retailers exist.

Oppimisen kohteen ja oppijan vastavuoroinen kehitys : Teleyrityksen asiakaspalvelun työyhteisöjen oppimiskäytäntöjen uudistaminen osana teknologis-taloudellista kumousta

Reciprocal development of the object and subject of learning. The renewal of the learning practices of front-line communities in a telecommunications company as part of the techno-economical paradigm change. Current changes in production have been seen as an indication of a shift from the techno-economical paradigm of a mass-production era to a new paradigm of the information and communication technological era. The rise of knowledge management in the late 1990s can be seen as one aspect of this paradigm shift, as knowledge creation and customer responsiveness were recognized as the prime factors in business competition. However, paradoxical conceptions concerning learning and agency have been presented in the discussion of knowledge management. One prevalent notion in the literature is that learning is based on individuals’ voluntary actions and this has now become incompatible with the growing interest in knowledge-management systems. Furthermore, commonly held view of learning as a general process that is independent of the object of learning contradicts the observation that the current need for new knowledge and new competences are caused by ongoing techno-economic changes. Even though the current view acknowledges that individuals and communities have key roles in knowledge creation, this conception defies the idea of the individuals’ and communities’ agency in developing the practices through which they learn. This research therefore presents a new theoretical interpretation of learning and agency based on Cultural-Historical Activity Theory. This approach overcomes the paradoxes in knowledge-management theory and offers means for understanding and analyzing changes in the ways of learning within work communities. This research is also an evaluation of the Competence-Laboratory method which was developed as part of the study as a special application of Developmental Work Research methodology. The research data comprises the videotaped competence-laboratory processes of four front-line work communities in a telecommunications company. The findings reported in the five articles included in this thesis are based on the analyses of this data. The new theoretical interpretation offered here is based on the assessment that the findings reported in the articles represent one of the front lines of the ongoing historical transformation of work-related learning since the research site represents one of the key industries of the new “knowledge society”. The research can be characterized as elaboration of a hypothesis concerning the development of work related learning. According to the new theoretical interpretation, the object of activity is also the object of distributed learning in work communities. The historical socialization of production has increased the number of actors involved in an activity, which has also increased the number of mutual interdependencies as well as the need for communication. Learning practices and organizational systems of learning are historically developed forms of distributed learning mediated by specific forms of division of labor, specific tools, and specific rules. However, the learning practices of the mass production era become increasingly inadequate to accommodate the conditions in the new economy. This was manifested in the front-line work communities in the research site as an aggravating contradiction between the new objects of learning and the prevailing learning practices. The constituent element of this new theoretical interpretation is the idea of a work community’s learning as part of its collaborative mastery of the developing business activity. The development of the business activity is at the same time a practical and an epistemic object for the community. This kind of changing object cannot be mastered by using learning practices designed for the stable conditions of mass production, because learning has to change along the changes in business. According to the model introduced in this thesis, the transformation of learning proceeds through specific stages: predefined learning tasks are first transformed into learning through re-conceptualizing the object of the activity and of the joint learning and then, as the new object becomes stabilized, into the creation of new kinds of learning practices to master the re-defined object of the activity. This transformation of the form of learning is realized through a stepwise expansion of the work community’s agency. To summarize, the conceptual model developed in this study sets the tool-mediated co-development of the subject and the object of learning as the theoretical starting point for developing new, second-generation knowledge management methods. Key words: knowledge management, learning practice, organizational system of learning, agency

Self-Supervised ARTMAP

Computational models of learning typically train on labeled input patterns (supervised learning), unlabeled input patterns (unsupervised learning), or a combination of the two (semisupervised learning). In each case input patterns have a fixed number of features throughout training and testing. Human and machine learning contexts present additional opportunities for expanding incomplete knowledge from formal training, via self-directed learning that incorporates features not previously experienced. This article defines a new self-supervised learning paradigm to address these richer learning contexts, introducing a neural network called self-supervised ARTMAP. Self-supervised learning integrates knowledge from a teacher (labeled patterns with some features), knowledge from the environment (unlabeled patterns with more features), and knowledge from internal model activation (self-labeled patterns). Self-supervised ARTMAP learns about novel features from unlabeled patterns without destroying partial knowledge previously acquired from labeled patterns. A category selection function bases system predictions on known features, and distributed network activation scales unlabeled learning to prediction confidence. Slow distributed learning on unlabeled patterns focuses on novel features and confident predictions, defining classification boundaries that were ambiguous in the labeled patterns. Self-supervised ARTMAP improves test accuracy on illustrative lowdimensional problems and on high-dimensional benchmarks. Model code and benchmark data are available from: http://techlab.bu.edu/SSART/.

As tecnologias da comunicação no suporte a ambientes de eLearning e bLearning: o ambiente Formare em contexto de formação profissional

Como corolário do trabalho de investigação e desenvolvimento, iniciado em 1996, na área das tecnologias da comunicação e dos serviços multimédia em contexto de formação profissional, pretende-se, com este estudo, identificar os principais contributos das ciências e tecnologias da comunicação e da educação nos processos de especificação, concepção, desenvolvimento e utilização do sistema de gestão de aprendizagem Formare, em contexto de formação profissional. Tendo em conta a fundamentação teórica, a participação em projectos de investigação e de inovação e uma vivência prática de mais de 14 anos de actividade na área do ensino a distância, do eLearning e do bLearning em contexto empresarial, desenvolveu-se um modelo conceptual para a nova versão do LMS Formare baseada nos fundamentos da comunicação e da gestão da aprendizagem em ambiente real de utilização. Para além de estudar os fundamentos das Learning Organizations, do Ensino a Distância, da Comunicação Educacional Multimédia, do eLearning, do bLearning e dos seus principais componentes, esta tese focaliza-se na análise de dois estudos de caso, suportados pelo Formare – um, em contexto de Auto-aprendizagem no Campus PT, e outro, em contexto de Aprendizagem Colaborativa na Formação de eFormadores. Pela análise das conclusões de cada um dos estudos de caso realizados, foi possível validar as opções tecnológicas e pedagógicas utilizadas, conhecer a percepção, o grau de utilização e a avaliação pedagógica dos formandos, assim como identificar os principais indicadores de implementação do eLearning nas organizações que aderiram ao LMS Formare. A tese termina com a apresentação dos principais resultados, limitações e conclusões do estudo de investigação, e apresenta um conjunto de considerações futuras nesta área de actividade, esperando contribuir para o desenvolvimento do eLearning em contexto de uma Learning Organization.